[Olena-patches] last-svn-commit-164-g91b2059 Delete files

--- scribo/sandbox/green/ko/mln/accu/stat/histo1d.hh | 348 ---------- scribo/sandbox/green/ko/mln/accu/stat/histo2d.hh | 346 ---------- .../sandbox/green/ko/mln/accu/stat/histo3d_hsl.hh | 380 ---------- .../sandbox/green/ko/mln/accu/stat/histo3d_rgb.hh | 349 ---------- scribo/sandbox/green/ok/mln/accu/histo/histo1d.hh | 334 --------- scribo/sandbox/green/ok/mln/accu/histo/histo2d.hh | 346 ---------- scribo/sandbox/green/ok/mln/accu/histo/histo3d.hh | 349 ---------- scribo/sandbox/green/ok/mln/img_path.hh | 239 ------- .../sandbox/green/ok/test/accu/histo/gaussian.sh | 12 - scribo/sandbox/green/ok/test/accu/histo/histo1d | Bin 808312 -> 0 bytes scribo/sandbox/green/ok/test/accu/histo/histo1d.cc | 726 -------------------- 11 files changed, 0 insertions(+), 3429 deletions(-) delete mode 100644 scribo/sandbox/green/ko/mln/accu/stat/histo1d.hh delete mode 100644 scribo/sandbox/green/ko/mln/accu/stat/histo2d.hh delete mode 100644 scribo/sandbox/green/ko/mln/accu/stat/histo3d_hsl.hh delete mode 100644 scribo/sandbox/green/ko/mln/accu/stat/histo3d_rgb.hh delete mode 100644 scribo/sandbox/green/ok/mln/accu/histo/histo1d.hh delete mode 100644 scribo/sandbox/green/ok/mln/accu/histo/histo2d.hh delete mode 100644 scribo/sandbox/green/ok/mln/accu/histo/histo3d.hh delete mode 100644 scribo/sandbox/green/ok/mln/img_path.hh delete mode 100755 scribo/sandbox/green/ok/test/accu/histo/gaussian.sh delete mode 100755 scribo/sandbox/green/ok/test/accu/histo/histo1d delete mode 100644 scribo/sandbox/green/ok/test/accu/histo/histo1d.cc diff --git a/scribo/sandbox/green/ko/mln/accu/stat/histo1d.hh b/scribo/sandbox/green/ko/mln/accu/stat/histo1d.hh deleted file mode 100644 index 807f3bd..0000000 --- a/scribo/sandbox/green/ko/mln/accu/stat/histo1d.hh +++ /dev/null @@ -1,348 +0,0 @@ -// Copyright (C) 2007 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2008 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2009 EPITA Research and Development Laboratory (LRDE) -// -// This file is part of Olena. -// -// Olena is free software: you can redistribute it and/or modify it under -// the terms of the GNU General Public License as published by the Free -// Software Foundation, version 2 of the License. -// -// Olena is distributed in the hope that it will be useful, -// but WITHOUT ANY WARRANTY; without even the implied warranty of -// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU -// General Public License for more details. -// -// You should have received a copy of the GNU General Public License -// along with Olena. If not, see <http://www.gnu.org/licenses/>. -// -// As a special exception, you may use this file as part of a free -// software project without restriction. Specifically, if other files -// instantiate templates or use macros or inline functions from this -// file, or you compile this file and link it with other files to produce -// an executable, this file does not by itself cause the resulting -// executable to be covered by the GNU General Public License. This -// exception does not however invalidate any other reasons why the -// executable file might be covered by the GNU General Public License. - -#ifndef MLN_ACCU_STAT_HISTO1D_HH -#define MLN_ACCU_STAT_HISTO1D_HH - -/// \file -/// -/// \brief Define a histogram as an accumulator which returns an image1d . -/// -/// This source implements the discrete histogram version. The number of beans -/// is infer from the number of graylevels. A typical int_u8 image has got -/// 256 bins. An int_u<14> image has got 16384 bins. -/// The following sample is a typical use of the histogram. -/// -/// #include <mln/value/int_u8.hh> -/// #include <mln/core/image/image1d.hh> -/// #include <mln/core/image/image2d.hh> -/// #include <mln/io/pgm/load.hh> -/// #include <mln/accu/stat/histo1d.hh> -/// #include <mln/data/compute.hh> -/// -/// #define OLENA_LENA "/usr/local/share/olena/images/lena.pgm" -/// -/// void test() -/// { -/// typedef mln::value::int_u8 int_u8; -/// mln::image2d<int_u8> img_ref; -/// mln::image1d<unsigned> img_res; -/// -/// mln::io::pgm::load(img_ref, OLENA_LENA); -/// img_res = mln::data::compute(mln::accu::meta::stat::histo1d(), img_ref); -/// } - - -#include <iostream> - -#include <mln/accu/internal/base.hh> - -#include <mln/core/macros.hh> -#include <mln/core/image/image1d.hh> -#include <mln/core/concept/meta_accumulator.hh> - -#include <mln/trait/value/comp.hh> - -#include <mln/arith/plus.hh> - -#include <mln/trace/entering.hh> -#include <mln/trace/exiting.hh> - -#include <mln/value/ops.hh> - -namespace mln -{ - - namespace accu - { - - namespace stat - { - - // Forward declaration - template <typename V> - struct histo1d; - - } // end of namespace mln::accu::stat - - - namespace meta - { - - namespace stat - { - - struct histo1d : public Meta_Accumulator<histo1d> - { - template <typename V> - struct with - { - typedef accu::stat::histo1d<V> ret; - }; - }; - - } // end of namespace mln::accu::meta::stat - - } // end of namespace mln::accu::meta - - } // end of namespace mln::accu - - namespace trait - { - - template <typename V> - struct accumulator_< mln::accu::stat::histo1d<V> > - { - typedef accumulator::has_untake::no has_untake; - typedef accumulator::has_set_value::no has_set_value; - typedef accumulator::has_stop::no has_stop; - typedef accumulator::when_pix::use_v when_pix; - }; - - template <typename V> - struct set_precise_binary_<op::eq, - accu::stat::histo1d<V>, - accu::stat::histo1d<V> > - { - typedef bool ret; - }; - - } // end of namespace mln::trait - - namespace accu - { - - namespace stat - { - - /// \brief Define an histogram which returns an image1d . - /// - /// Param V defines the space in which we count the values. - /// For instance, this histogram works with image2d<int_u8> or with - /// image1d<int_u<14> >. The histogram count the occurrence of each value. - /// The number of bins depends of the graylevel values, for 8 bits there - /// is 256 bins, for 14 bits there is 16384 bins. Note that over - /// quantification works too (up to 14 bits). - /// - /// \ingroup modaccuvalues - - template <typename V> - struct histo1d : - public mln::accu::internal::base<image1d<unsigned>, histo1d<V> > - { - typedef V argument; - typedef image1d<unsigned> result; - typedef result q_result; - - /// Constructors - /// \{ - /// \brief Initialize the size of the resulting image1d. - /// - /// Initialize the size the resulting image from the theorical dynamic - /// of the graylevel values (Use V to manage it). - histo1d(); - /// \} - - - /// Manipulators. - /// \{ - /// \brief Initialize the histogram with zero value. - /// - /// This method must be called just before starting the use of the - /// histogram. If it's not, resulting values won't converge to the - /// density. - void init(); - - - /// \brief Update the histogram with the graylevel of the pixel t. - /// \param[in] t a graylevel pixel of type V. - /// - /// The end user shouldn't call this method. In place of it, he can - /// go through the data compute interface. - void take(const argument& t); - - - /// \brief Update the histogram with an other histogram. - /// \param[in] other the other histogram. - /// - /// The end user shouldn't call this method. This is part of - /// data compute interface mechanism. - - void take(const histo1d<V>& other); - /// \} - - /// Accessors. - /// \{ - /// \brief Return the histogram as an image1d. - /// - /// This is the machinery to communicate with data compute interface. - /// The end user should'nt use it. - result to_result() const; - operator result () const; - /// \} - - /// \brief Check whethever this accumulator is able to return a result. - /// - /// Depends if the resulting image1d is valid. We can assume it is quite - /// always the case. - bool is_valid() const; - - protected: - result count_; - }; - - /// \brief Check wethever an histogram is equal to an other one. - /// \param[in] histo1 the first histogram to compare with. - /// \param[in] histo2 the second histogram. - /// - /// The operator compare all the bins from the two histograms. - - template <typename V> - bool operator==(const histo1d<V>& histo1, const histo1d<V>& histo2); - -#ifndef MLN_INCLUDE_ONLY - - template <typename V> - inline - histo1d<V>::histo1d() - { - trace::entering("mln::accu::stat::histo1d<V>::histo1d"); - typedef mln_trait_value_comp(V,0) comp; - typedef point<grid::tick, V> v_point1d; - typedef box<v_point1d> v_box1d; - - // comp keep a trace of the dimension of the theorical image. - // mln_min(comp) --> 0 - // mln_max(comp) --> 2^(n-1) [127 for n=7][255 for n=8] ... - - count_.init_(box1d(point1d(mln_min(comp)), - point1d(mln_max(comp)))); - - // std::cout << "min : " << mln_min(comp) << std::endl; - // std::cout << "max : " << mln_max(comp) << std::endl; - - trace::exiting("mln::accu::stat::histo1d<V>::histo1d"); - } - - template <typename V> - inline - void histo1d<V>::init() - { - trace::entering("mln::accu::stat::histo1d<V>::init"); - - data::fill(count_, 0); - trace::exiting("mln::accu::stat::histo1d<V>::init"); - } - - template <typename V> - inline - void histo1d<V>::take(const argument& t) - { - trace::entering("mln::accu::stat::histo1d<V>::take"); - - // Just convert a graylevel value (int_u8 like) to a position for an - // iterator on the resulting image. - ++count_(point1d(t)); - - trace::exiting("mln::accu::stat::histo1d<V>::take"); - } - - - template <typename V> - inline - void histo1d<V>::take(const histo1d<V>& other) - { - trace::entering("mln::accu::stat::histo1d<V>::take"); - - count_ += other.count_; - - trace::exiting("mln::accu::stat::histo1d<V>::take"); - } - - template <typename V> - inline - typename histo1d<V>::result histo1d<V>::to_result() const - { - trace::entering("mln::accu::stat::histo1d<V>::to_result"); - - trace::exiting("mln::accu::stat::histo1d<V>::to_result"); - return count_; - } - - template <typename V> - inline - histo1d<V>::operator result() const - { - trace::entering("mln::accu::stat::histo1d<V>::operator result"); - - trace::exiting("mln::accu::stat::histo1d<V>::operator result"); - return count_; - } - - template <typename V> - inline - bool histo1d<V>::is_valid() const - { - trace::entering("mln::accu::stat::histo1d<V>::is_valid"); - bool result = count_.is_valid(); - - trace::exiting("mln::accu::stat::histo1d<V>::is_valid"); - return result; - } - - template <typename V> - bool operator==(const histo1d<V>& histo1, const histo1d<V>& histo2) - { - trace::entering("mln::accu::stat::operator=="); - - bool result = true; - const image1d<unsigned>& res1 = histo1.to_result(); - const image1d<unsigned>& res2 = histo2.to_result(); - - mln_precondition(res1.is_valid()); - mln_precondition(res2.is_valid()); - - mln_piter(image1d<unsigned>) p1(res1.domain()); - mln_piter(image1d<unsigned>) p2(res2.domain()); - - for_all_2(p1, p2) - result &= (res1(p1) == res2(p2)); - - trace::exiting("mln::accu::stat::operator=="); - return result; - } - -#endif // ! MLN_INCLUDE_ONLY - - - } // end of namespace mln::accu::stat - - } // end of namespace mln::accu - -} // end of namespace mln - -#endif // ! MLN_ACCU_STAT_HISTO1D_HH diff --git a/scribo/sandbox/green/ko/mln/accu/stat/histo2d.hh b/scribo/sandbox/green/ko/mln/accu/stat/histo2d.hh deleted file mode 100644 index fbe9a42..0000000 --- a/scribo/sandbox/green/ko/mln/accu/stat/histo2d.hh +++ /dev/null @@ -1,346 +0,0 @@ -// Copyright (C) 2007 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2008 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2009 EPITA Research and Development Laboratory (LRDE) -// -// This file is part of Olena. -// -// Olena is free software: you can redistribute it and/or modify it under -// the terms of the GNU General Public License as published by the Free -// Software Foundation, version 2 of the License. -// -// Olena is distributed in the hope that it will be useful, -// but WITHOUT ANY WARRANTY; without even the implied warranty of -// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU -// General Public License for more details. -// -// You should have received a copy of the GNU General Public License -// along with Olena. If not, see <http://www.gnu.org/licenses/>. -// -// As a special exception, you may use this file as part of a free -// software project without restriction. Specifically, if other files -// instantiate templates or use macros or inline functions from this -// file, or you compile this file and link it with other files to produce -// an executable, this file does not by itself cause the resulting -// executable to be covered by the GNU General Public License. This -// exception does not however invalidate any other reasons why the -// executable file might be covered by the GNU General Public License. - -#ifndef MLN_ACCU_STAT_HISTO2D_HH -# define MLN_ACCU_STAT_HISTO2D_HH - -/// \file -/// -/// \brief Define a histogram as an accumulator which returns an image1d . -/// -/// This source implements the discrete histogram version. The number of beans -/// is infer from the number of greylevels. A typical rgb8 image has got -/// 256x3 bins. Working with a 8 bit quantification in rgb is very costly. -/// The following sample is a typical use of the histogram. -/// -/// #include <mln/value/rgb.hh> -/// #include <mln/core/image/image1d.hh> -/// #include <mln/core/image/image3d.hh> -/// #include <mln/io/ppm/load.hh> -/// #include <mln/accu/stat/histo3d_rgb.hh> -/// #include <mln/data/compute.hh> -/// -/// #define OLENA_LENA ""/usr/local/share/olena/images/lena.ppm" -/// -/// void test() -/// { -/// typedef mln::value::rgb<7> rgb7; -/// mln::image2d<rgb7> img_ref; -/// mln::image3d<unsigned> img_res; -/// -/// mln::io::ppm::load(img_ref, OLENA_LENA); -/// img_res=mln::data::compute(mln::accu::meta::stat::histo3d_rgb(),img_ref); -/// } - - -# include <iostream> - -# include <mln/accu/internal/base.hh> - -# include <mln/core/macros.hh> -# include <mln/core/image/image2d.hh> -# include <mln/core/alias/point2d.hh> -# include <mln/core/alias/box2d.hh> - -# include <mln/trait/value/comp.hh> - -# include <mln/arith/plus.hh> - -# include <mln/trace/entering.hh> -# include <mln/trace/exiting.hh> - -# include <mln/value/ops.hh> - -namespace mln -{ - - namespace accu - { - - namespace stat - { - - // Forward declaration - template <typename V> - struct histo2d; - - } // end of namespace mln::accu::stat - - namespace meta - { - - namespace stat - { - - struct histo2d : public Meta_Accumulator<histo2d> - { - template <typename V> - struct with - { - typedef accu::stat::histo2d<V> ret; - }; - }; - - } // end of namespace mln::accu::meta::stat - - } // end of namespace mln::accu::meta - - } // end of namespace mln::accu - - - namespace trait - { - - template <typename V> - struct accumulator_< mln::accu::stat::histo2d<V> > - { - typedef accumulator::has_untake::no has_untake; - typedef accumulator::has_set_value::no has_set_value; - typedef accumulator::has_stop::no has_stop; - typedef accumulator::when_pix::use_v when_pix; - }; - - template <typename V> - struct set_precise_binary_<op::eq, - accu::stat::histo2d<V>, - accu::stat::histo2d<V> > - { - typedef bool ret; - }; - - } // end of namespace mln::trait - - namespace accu - { - - namespace stat - { - - /// \brief Define an histogram which returns an image3d . - /// - /// Param V defines the space in which we count the values. - /// For instance, this histogram works image2d<rgb<2>> or - /// image2d<rgb<7>>. The histogram count the occurrence of each value. - /// The number of bins depends of the grayscale values, for 8 bits there - /// is 256x3 bins. Note that over - /// quantification works too. - /// - /// \ingroup modaccuvalues - - template <typename V> - struct histo2d : - public mln::accu::internal::base<image2d<unsigned>, histo2d<V> > - { - typedef V argument; - typedef image2d<unsigned> result; - typedef result q_result; - - /// Constructors - /// \{ - /// \brief Initialize the size of the resulting image1d. - /// - /// Initialize the size the resulting image from the theorical dynamic - /// of the greylevel values (Use V to manage it). - histo2d(); - /// \} - - - /// Manipulators. - /// \{ - /// \brief Initialize the histogram with zero value. - /// - /// This method must be called just before starting the use of the - /// histogram. If it's not, resulting values won't converge to the - /// density. - void init(); - - - /// \brief Update the histogram with the RGB pixel t. - /// \param[in] t a greylevel pixel of type V. - /// - /// The end user shouldn't call this method. In place of it, he can - /// go through the data compute interface. - void take(const argument& t); - - - /// \brief Update the histogram with an other histogram. - /// \param[in] other the other histogram. - void take(const histo2d<V>& other); - /// \} - - /// Accessors. - /// \{ - /// \brief Return the histogram as an image1d. - /// - /// This is the machinery to communicate with data compute interface. - /// The end user should'nt use it. - result to_result() const; - operator result () const; - /// \} - - /// \brief Check whethever this accumulator is able to return a result. - /// - /// Depends if the resulting image1d is valid. We can assume it is quite - /// always the case. - bool is_valid() const; - - protected: - result count_; - }; - - /// \brief Check wethever an histogram is equal to an other one. - /// \param[in] histo1 the first histogram to compare with. - /// \param[in] histo2 the second histogram. - /// - /// The operator compare all the bins from the two histogram. - - template <typename V> - bool operator==(const histo2d<V>& histo1, - const histo2d<V>& histo2); - -#ifndef MLN_INCLUDE_ONLY - - template <typename V> - inline - histo2d<V>::histo2d() - { - trace::entering("mln::accu::stat::histo2d::histo2d"); - typedef mln_trait_value_comp(V,0) comp0; - typedef mln_trait_value_comp(V,1) comp1; - - // comp keep a trace of the dimension of the theorical image. - // mln_min(comp) --> 0 - // mln_max(comp) --> 2^(n-1) [127 for n=7][255 for n=8] ... - - count_.init_(box2d(point2d(mln_min(comp0), - mln_min(comp1)), - point2d(mln_max(comp0), - mln_max(comp1)))); - - trace::exiting("mln::accu::stat::histo2d::histo2d"); - } - - template <typename V> - inline - void histo2d<V>::init() - { - trace::entering("mln::accu::stat::histo2d::init"); - - data::fill(count_, 0); - trace::exiting("mln::accu::stat::histo2d::init"); - } - - template <typename V> - inline - void histo2d<V>::take(const argument& t) - { - trace::entering("mln::accu::stat::histo2d::take"); - - // Just convert a greyscale value (int_u8 like) to a position for an - // iterator on the resulting image. - // Take care to the constructor : Point(slice, row, column) - ++count_(point2d(t.red(), t.green())); - - trace::exiting("mln::accu::stat::histo2d::take"); - } - - - template <typename V> - inline - void histo2d<V>::take(const histo2d<V>& other) - { - trace::entering("mln::accu::stat::histo2d::take"); - - count_ += other.count_; - - trace::exiting("mln::accu::stat::histo2d::take"); - } - - template <typename V> - inline - typename histo2d<V>::result histo2d<V>::to_result() const - { - trace::entering("mln::accu::stat::histo2d::to_result"); - - trace::exiting("mln::accu::stat::histo2d::to_result"); - return count_; - } - - template <typename V> - inline - histo2d<V>::operator result() const - { - trace::entering("mln::accu::stat::histo2d::operator result"); - - trace::exiting("mln::accu::stat::histo2d::operator result"); - return count_; - } - - template <typename V> - inline - bool histo2d<V>::is_valid() const - { - trace::entering("mln::accu::stat::histo2d::is_valid"); - bool result = count_.is_valid(); - - trace::exiting("mln::accu::stat::histo2d::is_valid"); - return result; - } - - template <typename V> - bool operator==(const histo2d<V>& histo1, - const histo2d<V>& histo2) - { - trace::entering("mln::accu::stat::operator=="); - - bool result = true; - const image2d<unsigned>& res1 = histo1.to_result(); - const image2d<unsigned>& res2 = histo2.to_result(); - - mln_precondition(res1.is_valid()); - mln_precondition(res2.is_valid()); - - mln_piter(image2d<unsigned>) p1(res1.domain()); - mln_piter(image2d<unsigned>) p2(res2.domain()); - - for_all_2(p1, p2) - result &= (res1(p1) == res2(p2)); - - trace::exiting("mln::accu::stat::operator=="); - return result; - } - -#endif // ! MLN_INCLUDE_ONLY - - - } // end of namespace mln::accu::stat - - } // end of namespace mln::accu - -} // end of namespace mln - -#endif // ! MLN_ACCU_STAT_HISTO2D_HH diff --git a/scribo/sandbox/green/ko/mln/accu/stat/histo3d_hsl.hh b/scribo/sandbox/green/ko/mln/accu/stat/histo3d_hsl.hh deleted file mode 100644 index c84aaa4..0000000 --- a/scribo/sandbox/green/ko/mln/accu/stat/histo3d_hsl.hh +++ /dev/null @@ -1,380 +0,0 @@ -// Copyright (C) 2007 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2008 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2009 EPITA Research and Development Laboratory (LRDE) -// -// This file is part of Olena. -// -// Olena is free software: you can redistribute it and/or modify it under -// the terms of the GNU General Public License as published by the Free -// Software Foundation, version 2 of the License. -// -// Olena is distributed in the hope that it will be useful, -// but WITHOUT ANY WARRANTY; without even the implied warranty of -// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU -// General Public License for more details. -// -// You should have received a copy of the GNU General Public License -// along with Olena. If not, see <http://www.gnu.org/licenses/>. -// -// As a special exception, you may use this file as part of a free -// software project without restriction. Specifically, if other files -// instantiate templates or use macros or inline functions from this -// file, or you compile this file and link it with other files to produce -// an executable, this file does not by itself cause the resulting -// executable to be covered by the GNU General Public License. This -// exception does not however invalidate any other reasons why the -// executable file might be covered by the GNU General Public License. - -#ifndef MLN_ACCU_STAT_HISTO3D_HSL_HH -#define MLN_ACCU_STAT_HISTO3D_HSL_HH - -/// \file -/// -/// \brief Define a histogram as an accumulator which returns an image1d . -/// -/// This source implements the discrete histogram version. The number of beans -/// is infer from the number of greylevels. A typical int_u8 image has got -/// 256 bins. An int_u16 image has got 65535 bins. -/// The following sample is a typical use of the histogram. -/// -/// #include <mln/value/int_u8.hh> -/// #include <mln/core/image/image1d.hh> -/// #include <mln/core/image/image2d.hh> -/// #include <mln/io/pgm/load.hh> -/// #include <mln/accu/stat/histo1d.hh> -/// #include <mln/data/compute.hh> -/// #include <mln/io/plot/save_histo_sh.hh> -/// -/// #define OLENA_LENA "/usr/local/share/olena/images/lena.pgm" -/// -/// void test() -/// { -/// typedef mln::value::int_u8 int_u8; -/// mln::image2d<int_u8> img_ref; -/// mln::image1d<unsigned> img_res; -/// -/// mln::io::pgm::load(img_ref, OLENA_LENA); -/// img_res = mln::data::compute(mln::accu::stat::histo1d<int_u8>(), img_ref); -/// } - - -#include <iostream> - -#include <mln/accu/internal/base.hh> - -#include <mln/core/macros.hh> -#include <mln/core/image/image3d.hh> -#include <mln/core/alias/point3d.hh> -#include <mln/core/alias/box3d.hh> - -#include <mln/value/int_u.hh> -#include <mln/trait/value/comp.hh> - -#include <mln/arith/plus.hh> - -#include <mln/trace/entering.hh> -#include <mln/trace/exiting.hh> - -#include <mln/value/ops.hh> - -// make hue cyclic -#include <mln/fun/p2p/fold.hh> -#include <mln/core/image/dmorph/transformed_image.hh> - -namespace mln -{ - - namespace accu - { - - namespace stat - { - - // Forward declaration - template <unsigned q, typename V> - struct histo3d_hsl; - - } // end of namespace mln::accu::stat - - } // end of namespace mln::accu - - - namespace trait - { - - template <unsigned q, typename V> - struct accumulator_< mln::accu::stat::histo3d_hsl<q,V> > - { - typedef accumulator::has_untake::no has_untake; - typedef accumulator::has_set_value::no has_set_value; - typedef accumulator::has_stop::no has_stop; - typedef accumulator::when_pix::use_v when_pix; - }; - - template <unsigned q, typename V> - struct set_precise_binary_<op::eq, - accu::stat::histo3d_hsl<q,V>, - accu::stat::histo3d_hsl<q,V> > - { - typedef bool ret; - }; - - } // end of namespace mln::trait - - namespace accu - { - - namespace stat - { - - /// \brief Define an histogram which returns an image1d . - /// - /// Param V defines the space in which we count the values. - /// For instance, this histogram works image2d<int_u8> or - /// image1d<int_u16>. The histogram count the occurrence of each value. - /// The number of bins depends of the greyscale values, for 8 bits there - /// is 256 bins, for 16 bits there is 65536 bins. Note that over - /// quantification works too. - /// - /// \ingroup modaccuvalues - - /// q is the number of bins per axe because quantification info are died. - /// we assume that V is a kind of hsl_<float,float,float> - - template <unsigned q, typename V> - struct histo3d_hsl : - public mln::accu::internal::base<image3d<unsigned>, histo3d_hsl<q,V> > - { - typedef V argument; - typedef image3d<unsigned> result; - typedef result q_result; - - /// Constructors - /// \{ - /// \brief Initialize the size of the resulting image1d. - /// - /// Initialize the size the resulting image from the theorical dynamic - /// of the greylevel values (Use V to manage it). - histo3d_hsl(); - /// \} - - - /// Manipulators. - /// \{ - /// \brief Initialize the histogram with zero value. - /// - /// This method must be called just before starting the use of the - /// histogram. If it's not, resulting values won't converge to the - /// density. - void init(); - - - /// \brief Update the histogram with the RGB pixel t. - /// \param[in] t a greylevel pixel of type V. - /// - /// The end user shouldn't call this method. In place of it, he can - /// go through the data compute interface. - void take(const argument& t); - - - /// \brief Update the histogram with an other histogram. - /// \param[in] other the other histogram. - void take(const histo3d_hsl<q,V>& other); - /// \} - - /// Accessors. - /// \{ - /// \brief Return the histogram as an image1d. - /// - /// This is the machinery to communicate with data compute interface. - /// The end user should'nt use it. - result to_result() const; - operator result () const; - /// \} - - /// \brief Check whethever this accumulator is able to return a result. - /// - /// Depends if the resulting image1d is valid. We can assume it is quite - /// always the case. - bool is_valid() const; - - protected: - const float min_hue; - const float max_hue; - float step_hue; - const float min_lum; - const float max_lum; - float step_lum; - const float min_sat; - const float max_sat; - float step_sat; - result count_; - }; - - /// \brief Check wethever an histogram is equal to an other one. - /// \param[in] histo1 the first histogram to compare with. - /// \param[in] histo2 the second histogram. - /// - /// The operator compare all the bins from the two histogram. - - template <unsigned q, typename V> - bool operator==(const histo3d_hsl<q,V>& histo1, - const histo3d_hsl<q,V>& histo2); - -#ifndef MLN_INCLUDE_ONLY - - template <unsigned q, typename V> - inline - histo3d_hsl<q,V>::histo3d_hsl() : min_hue(0.0), max_hue(360.0), - min_lum(0.0), max_lum(1.0), - min_sat(0.0), max_sat(1.0) - { - trace::entering("mln::accu::stat::histo3d_hsl<q,V>::histo3d_hsl"); - - // As there is no info about preceding color space - // we ask the end user to specify the quantification he's looking for. - - count_.init_(box3d(point3d(mln_min(value::int_u<q>), - mln_min(value::int_u<q>), - mln_min(value::int_u<q>)), - point3d(mln_max(value::int_u<q>), - mln_max(value::int_u<q>), - mln_max(value::int_u<q>)))); - - // Make the hue domain cyclic - fun::p2p::fold<point3d,1,0,0> fold_(count_.domain()); - transform_domain(count_, fold_); - - step_hue = (max_hue - min_hue)/q; - step_lum = (max_lum - min_lum)/q; - step_sat = (max_sat - min_sat)/q; - - trace::exiting("mln::accu::stat::histo3d_hsl<q,V>::histo3d_hsl"); - } - - template <unsigned q, typename V> - inline - void histo3d_hsl<q,V>::init() - { - trace::entering("mln::accu::stat::histo3d_hsl<q,V>::init"); - - data::fill(count_, 0); - trace::exiting("mln::accu::stat::histo3d_hsl<q,V>::init"); - } - - template <unsigned q, typename V> - inline - void histo3d_hsl<q,V>::take(const argument& t) - { - trace::entering("mln::accu::stat::histo3d_hsl<q,V>::take"); - - // Just convert a greyscale value (int_u8 like) to a position for an - // iterator on the resulting image. - //++count_(point3d(t.red(), t.green(), t.blue())); - - - // Technical way to access i° component without kwnowing the name - // mln::trait::value_<argument>::get_comp_0(t); - - // is def::coord1d the type of x, y, z ?? - unsigned x = (t.hue() - min_hue)/step_hue; - unsigned y = (t.lum() - min_lum)/step_lum; - unsigned z = (t.sat() - min_sat)/step_sat; - /* - - std::cout << "H : " << t.hue() << std::endl; - std::cout << "L : " << t.lum() << std::endl; - std::cout << "S : " << t.sat() << std::endl; - - std::cout << "step_hue : " << step_hue << std::endl; - std::cout << "step_lum : " << step_lum << std::endl; - std::cout << "step_sat : " << step_sat << std::endl; - - std::cout << "X : " << x << std::endl; - std::cout << "Y : " << y << std::endl; - std::cout << "Z : " << z << std::endl; - */ - - // faire attention avec les histoires de points et leurs coordonnées - ++count_(point3d(z, x, y)); - //++count_(point3d(t.hue(), t.sat(), t.lum())); - - trace::exiting("mln::accu::stat::histo3d_hsl<q,V>::take"); - } - - - template <unsigned q, typename V> - inline - void histo3d_hsl<q,V>::take(const histo3d_hsl<q,V>& other) - { - trace::entering("mln::accu::stat::histo3d_hsl<q,V>::take"); - - count_ += other.count_; - - trace::exiting("mln::accu::stat::histo3d_hsl<q,V>::take"); - } - - template <unsigned q, typename V> - inline - typename histo3d_hsl<q,V>::result histo3d_hsl<q,V>::to_result() const - { - trace::entering("mln::accu::stat::histo3d_hsl<q,V>::to_result"); - - trace::exiting("mln::accu::stat::histo3d_hsl<q,V>::to_result"); - return count_; - } - - template <unsigned q, typename V> - inline - histo3d_hsl<q,V>::operator result() const - { - trace::entering("mln::accu::stat::histo3d_rgb<q,V>::operator result"); - - trace::exiting("mln::accu::stat::histo3d_rgb<q,V>::operator result"); - return count_; - } - - template <unsigned q, typename V> - inline - bool histo3d_hsl<q,V>::is_valid() const - { - trace::entering("mln::accu::stat::histo3d_hsl<q,V>::is_valid"); - bool result = count_.is_valid(); - - trace::exiting("mln::accu::stat::histo3d_hsl<q,V>::is_valid"); - return result; - } - - template <unsigned q, typename V> - bool operator==(const histo3d_hsl<q,V>& histo1, - const histo3d_hsl<q,V>& histo2) - { - trace::entering("mln::accu::stat::operator=="); - - bool result = true; - const image3d<unsigned>& res1 = histo1.to_result(); - const image3d<unsigned>& res2 = histo2.to_result(); - - mln_precondition(res1.is_valid()); - mln_precondition(res2.is_valid()); - - mln_piter(image3d<unsigned>) p1(res1.domain()); - mln_piter(image3d<unsigned>) p2(res2.domain()); - - for_all_2(p1, p2) - result &= (res1(p1) == res2(p2)); - - trace::exiting("mln::accu::stat::operator=="); - return result; - } - -#endif // ! MLN_INCLUDE_ONLY - - - } // end of namespace mln::accu::stat - - } // end of namespace mln::accu - -} // end of namespace mln - -#endif // ! MLN_ACCU_STAT_HISTO3D_RGB_HH diff --git a/scribo/sandbox/green/ko/mln/accu/stat/histo3d_rgb.hh b/scribo/sandbox/green/ko/mln/accu/stat/histo3d_rgb.hh deleted file mode 100644 index 48c49da..0000000 --- a/scribo/sandbox/green/ko/mln/accu/stat/histo3d_rgb.hh +++ /dev/null @@ -1,349 +0,0 @@ -// Copyright (C) 2007 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2008 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2009 EPITA Research and Development Laboratory (LRDE) -// -// This file is part of Olena. -// -// Olena is free software: you can redistribute it and/or modify it under -// the terms of the GNU General Public License as published by the Free -// Software Foundation, version 2 of the License. -// -// Olena is distributed in the hope that it will be useful, -// but WITHOUT ANY WARRANTY; without even the implied warranty of -// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU -// General Public License for more details. -// -// You should have received a copy of the GNU General Public License -// along with Olena. If not, see <http://www.gnu.org/licenses/>. -// -// As a special exception, you may use this file as part of a free -// software project without restriction. Specifically, if other files -// instantiate templates or use macros or inline functions from this -// file, or you compile this file and link it with other files to produce -// an executable, this file does not by itself cause the resulting -// executable to be covered by the GNU General Public License. This -// exception does not however invalidate any other reasons why the -// executable file might be covered by the GNU General Public License. - -#ifndef MLN_ACCU_STAT_HISTO3D_RGB_HH -#define MLN_ACCU_STAT_HISTO3D_RGB_HH - -/// \file -/// -/// \brief Define a histogram as an accumulator which returns an image1d . -/// -/// This source implements the discrete histogram version. The number of beans -/// is infer from the number of greylevels. A typical rgb8 image has got -/// 256x3 bins. Working with a 8 bit quantification in rgb is very costly. -/// The following sample is a typical use of the histogram. -/// -/// #include <mln/value/rgb.hh> -/// #include <mln/core/image/image1d.hh> -/// #include <mln/core/image/image3d.hh> -/// #include <mln/io/ppm/load.hh> -/// #include <mln/accu/stat/histo3d_rgb.hh> -/// #include <mln/data/compute.hh> -/// -/// #define OLENA_LENA ""/usr/local/share/olena/images/lena.ppm" -/// -/// void test() -/// { -/// typedef mln::value::rgb<7> rgb7; -/// mln::image2d<rgb7> img_ref; -/// mln::image3d<unsigned> img_res; -/// -/// mln::io::ppm::load(img_ref, OLENA_LENA); -/// img_res=mln::data::compute(mln::accu::meta::stat::histo3d_rgb(),img_ref); -/// } - - -#include <iostream> - -#include <mln/accu/internal/base.hh> - -#include <mln/core/macros.hh> -#include <mln/core/image/image3d.hh> -#include <mln/core/alias/point3d.hh> -#include <mln/core/alias/box3d.hh> - -#include <mln/trait/value/comp.hh> - -#include <mln/arith/plus.hh> - -#include <mln/trace/entering.hh> -#include <mln/trace/exiting.hh> - -#include <mln/value/ops.hh> - -namespace mln -{ - - namespace accu - { - - namespace stat - { - - // Forward declaration - template <typename V> - struct histo3d_rgb; - - } // end of namespace mln::accu::stat - - namespace meta - { - - namespace stat - { - - struct histo3d_rgb : public Meta_Accumulator<histo3d_rgb> - { - template <typename V> - struct with - { - typedef accu::stat::histo3d_rgb<V> ret; - }; - }; - - } // end of namespace mln::accu::meta::stat - - } // end of namespace mln::accu::meta - - } // end of namespace mln::accu - - - namespace trait - { - - template <typename V> - struct accumulator_< mln::accu::stat::histo3d_rgb<V> > - { - typedef accumulator::has_untake::no has_untake; - typedef accumulator::has_set_value::no has_set_value; - typedef accumulator::has_stop::no has_stop; - typedef accumulator::when_pix::use_v when_pix; - }; - - template <typename V> - struct set_precise_binary_<op::eq, - accu::stat::histo3d_rgb<V>, - accu::stat::histo3d_rgb<V> > - { - typedef bool ret; - }; - - } // end of namespace mln::trait - - namespace accu - { - - namespace stat - { - - /// \brief Define an histogram which returns an image3d . - /// - /// Param V defines the space in which we count the values. - /// For instance, this histogram works image2d<rgb<2>> or - /// image2d<rgb<7>>. The histogram count the occurrence of each value. - /// The number of bins depends of the grayscale values, for 8 bits there - /// is 256x3 bins. Note that over - /// quantification works too. - /// - /// \ingroup modaccuvalues - - template <typename V> - struct histo3d_rgb : - public mln::accu::internal::base<image3d<unsigned>, histo3d_rgb<V> > - { - typedef V argument; - typedef image3d<unsigned> result; - typedef result q_result; - - /// Constructors - /// \{ - /// \brief Initialize the size of the resulting image1d. - /// - /// Initialize the size the resulting image from the theorical dynamic - /// of the greylevel values (Use V to manage it). - histo3d_rgb(); - /// \} - - - /// Manipulators. - /// \{ - /// \brief Initialize the histogram with zero value. - /// - /// This method must be called just before starting the use of the - /// histogram. If it's not, resulting values won't converge to the - /// density. - void init(); - - - /// \brief Update the histogram with the RGB pixel t. - /// \param[in] t a greylevel pixel of type V. - /// - /// The end user shouldn't call this method. In place of it, he can - /// go through the data compute interface. - void take(const argument& t); - - - /// \brief Update the histogram with an other histogram. - /// \param[in] other the other histogram. - void take(const histo3d_rgb<V>& other); - /// \} - - /// Accessors. - /// \{ - /// \brief Return the histogram as an image1d. - /// - /// This is the machinery to communicate with data compute interface. - /// The end user should'nt use it. - result to_result() const; - operator result () const; - /// \} - - /// \brief Check whethever this accumulator is able to return a result. - /// - /// Depends if the resulting image1d is valid. We can assume it is quite - /// always the case. - bool is_valid() const; - - protected: - result count_; - }; - - /// \brief Check wethever an histogram is equal to an other one. - /// \param[in] histo1 the first histogram to compare with. - /// \param[in] histo2 the second histogram. - /// - /// The operator compare all the bins from the two histogram. - - template <typename V> - bool operator==(const histo3d_rgb<V>& histo1, - const histo3d_rgb<V>& histo2); - -#ifndef MLN_INCLUDE_ONLY - - template <typename V> - inline - histo3d_rgb<V>::histo3d_rgb() - { - trace::entering("mln::accu::stat::histo3d_rgb<V>::histo3d_rgb"); - typedef mln_trait_value_comp(V,0) comp0; - typedef mln_trait_value_comp(V,1) comp1; - typedef mln_trait_value_comp(V,2) comp2; - - // comp keep a trace of the dimension of the theorical image. - // mln_min(comp) --> 0 - // mln_max(comp) --> 2^(n-1) [127 for n=7][255 for n=8] ... - - count_.init_(box3d(point3d(mln_min(comp0), - mln_min(comp1), - mln_min(comp2)), - point3d(mln_max(comp0), - mln_max(comp1), - mln_max(comp2)))); - - trace::exiting("mln::accu::stat::histo3d_rgb<V>::histo3d_rgb"); - } - - template <typename V> - inline - void histo3d_rgb<V>::init() - { - trace::entering("mln::accu::stat::histo3d_rgb<V>::init"); - - data::fill(count_, 0); - trace::exiting("mln::accu::stat::histo3d_rgb<V>::init"); - } - - template <typename V> - inline - void histo3d_rgb<V>::take(const argument& t) - { - trace::entering("mln::accu::stat::histo3d_rgb<V>::take"); - - // Just convert a greyscale value (int_u8 like) to a position for an - // iterator on the resulting image. - // Take care to the constructor : Point(slice, row, column) - ++count_(point3d(t.blue(), t.red(), t.green())); - - trace::exiting("mln::accu::stat::histo3d_rgb<V>::take"); - } - - - template <typename V> - inline - void histo3d_rgb<V>::take(const histo3d_rgb<V>& other) - { - trace::entering("mln::accu::stat::histo3d_rgb<V>::take"); - - count_ += other.count_; - - trace::exiting("mln::accu::stat::histo3d_rgb<V>::take"); - } - - template <typename V> - inline - typename histo3d_rgb<V>::result histo3d_rgb<V>::to_result() const - { - trace::entering("mln::accu::stat::histo3d_rgb<V>::to_result"); - - trace::exiting("mln::accu::stat::histo3d_rgb<V>::to_result"); - return count_; - } - - template <typename V> - inline - histo3d_rgb<V>::operator result() const - { - trace::entering("mln::accu::stat::histo3d_rgb<V>::operator result"); - - trace::exiting("mln::accu::stat::histo3d_rgb<V>::operator result"); - return count_; - } - - template <typename V> - inline - bool histo3d_rgb<V>::is_valid() const - { - trace::entering("mln::accu::stat::histo3d_rgb<V>::is_valid"); - bool result = count_.is_valid(); - - trace::exiting("mln::accu::stat::histo3d_rgb<V>::is_valid"); - return result; - } - - template <typename V> - bool operator==(const histo3d_rgb<V>& histo1, - const histo3d_rgb<V>& histo2) - { - trace::entering("mln::accu::stat::operator=="); - - bool result = true; - const image3d<unsigned>& res1 = histo1.to_result(); - const image3d<unsigned>& res2 = histo2.to_result(); - - mln_precondition(res1.is_valid()); - mln_precondition(res2.is_valid()); - - mln_piter(image3d<unsigned>) p1(res1.domain()); - mln_piter(image3d<unsigned>) p2(res2.domain()); - - for_all_2(p1, p2) - result &= (res1(p1) == res2(p2)); - - trace::exiting("mln::accu::stat::operator=="); - return result; - } - -#endif // ! MLN_INCLUDE_ONLY - - - } // end of namespace mln::accu::stat - - } // end of namespace mln::accu - -} // end of namespace mln - -#endif // ! MLN_ACCU_STAT_HISTO3D_RGB_HH diff --git a/scribo/sandbox/green/ok/mln/accu/histo/histo1d.hh b/scribo/sandbox/green/ok/mln/accu/histo/histo1d.hh deleted file mode 100644 index 139cf39..0000000 --- a/scribo/sandbox/green/ok/mln/accu/histo/histo1d.hh +++ /dev/null @@ -1,334 +0,0 @@ -// Copyright (C) 2007,2008,2009,2010 EPITA Research and Development -// Laboratory (LRDE) -// -// This file is part of Olena. -// -// Olena is free software: you can redistribute it and/or modify it under -// the terms of the GNU General Public License as published by the Free -// Software Foundation, version 2 of the License. -// -// Olena is distributed in the hope that it will be useful, -// but WITHOUT ANY WARRANTY; without even the implied warranty of -// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU -// General Public License for more details. -// -// You should have received a copy of the GNU General Public License -// along with Olena. If not, see <http://www.gnu.org/licenses/>. -// -// As a special exception, you may use this file as part of a free -// software project without restriction. Specifically, if other files -// instantiate templates or use macros or inline functions from this -// file, or you compile this file and link it with other files to produce -// an executable, this file does not by itself cause the resulting -// executable to be covered by the GNU General Public License. This -// exception does not however invalidate any other reasons why the -// executable file might be covered by the GNU General Public License. - -#ifndef MLN_ACCU_HISTO_HISTO1D_HH -#define MLN_ACCU_HISTO_HISTO1D_HH - -/// \file -/// -/// \brief Define a histogram as accumulator which returns an image1d. -/// -/// This source implements the discrete histogram version. It was -/// created for images which the values are derived from integer -/// type. The number of beans is directly infered from the cardinality -/// of the image value. So the int_u8 image has got 256 bins, the -/// int_u<14> image has got 16384 bins. But, this code doesn't work -/// for that quantification because of the coord limitation (signed -/// short, as it is defined in mln/core/def/coord.hh). -/// -/// The following sample is a typical use of the histogram. -/// -/// #include <mln/accu/histo/histo1d.hh> -/// #include <mln/data/compute.hh> -/// #include <mln/core/image/image1d.hh> -/// #include <mln/core/image/image2d.hh> -/// #include <mln/img_path.hh> -/// #include <mln/io/pgm/load.hh> -/// #include <mln/value/int_u8.hh> -/// -/// int main() -/// { -/// typedef mln::value::int_u8 t_int_u8; -/// mln::image2d<t_int_u8> img; -/// mln::image1d<unsigned> histo; -/// -/// mln::io::pgm::load(img, OLENA_IMG_PATH"/lena.pgm"); -/// histo = mln::data::compute(mln::accu::meta::histo::histo1d(), img); -/// -/// return 0; -/// } - - -#include <iostream> - -#include <mln/accu/internal/base.hh> - -#include <mln/core/macros.hh> -#include <mln/core/image/image1d.hh> -#include <mln/core/concept/meta_accumulator.hh> - -#include <mln/trait/value/comp.hh> - -#include <mln/arith/plus.hh> - -#include <mln/trace/entering.hh> -#include <mln/trace/exiting.hh> - -#include <mln/value/ops.hh> - -namespace mln -{ - - namespace accu - { - - namespace histo - { - - // Forward declaration - template <typename V> - struct histo1d; - - } // end of namespace mln::accu::histo - - - namespace meta - { - - namespace histo - { - - struct histo1d : public Meta_Accumulator<histo1d> - { - template <typename V> - struct with - { - typedef accu::histo::histo1d<V> ret; - }; - }; - - } // end of namespace mln::accu::meta::histo - - } // end of namespace mln::accu::meta - - } // end of namespace mln::accu - - namespace trait - { - - template <typename V> - struct accumulator_< mln::accu::histo::histo1d<V> > - { - typedef accumulator::has_untake::no has_untake; - typedef accumulator::has_set_value::no has_set_value; - typedef accumulator::has_stop::no has_stop; - typedef accumulator::when_pix::use_v when_pix; - }; - - template <typename V> - struct set_precise_binary_<op::eq, - accu::histo::histo1d<V>, - accu::histo::histo1d<V> > - { - typedef bool ret; - }; - - } // end of namespace mln::trait - - namespace accu - { - - namespace histo - { - - /// \brief Define an histogram which returns an image1d . - /// - /// Param V defines the space in which we count the values. - /// For instance, this histogram works with image2d<int_u8> or with - /// image1d<int_u<14> >. The histogram count the occurrence of each value. - /// The number of bins depends of the graylevel values, for 8 bits there - /// is 256 bins, for 14 bits there is 16384 bins. Note that over - /// quantification works too (up to 14 bits). - /// - /// \ingroup modaccuvalues - - template <typename V> - struct histo1d : - public mln::accu::internal::base< image1d<unsigned>,histo1d<V> > - { - typedef V argument; - typedef image1d<unsigned> result; - typedef result q_result; - - /// Constructors - /// \{ - /// \brief Initialize the size of the resulting image1d. - /// - /// Initialize the size the resulting image from the theorical dynamic - /// of the graylevel values (Use V to manage it). - histo1d(); - /// \} - - - /// Manipulators. - /// \{ - /// \brief Initialize the histogram with zero value. - /// - /// This method must be called just before starting the use of the - /// histogram. If it's not, resulting values won't converge to the - /// density. - void init(); - - - /// \brief Update the histogram with the graylevel of the pixel t. - /// \param[in] t a graylevel pixel of type V. - /// - /// The end user shouldn't call this method. In place of it, he can - /// go through the data compute interface. - void take(const argument& t); - - - /// \brief Update the histogram with an other histogram. - /// \param[in] other the other histogram. - /// - /// The end user shouldn't call this method. This is part of - /// data compute interface mechanism. - - void take(const histo1d<V>& other); - /// \} - - /// Accessors. - /// \{ - /// \brief Return the histogram as an image1d. - /// - /// This is the machinery to communicate with data compute interface. - /// The end user should'nt use it. - result to_result() const; - operator result () const; - /// \} - - /// \brief Check whethever this accumulator is able to return a result. - /// - /// Depends if the resulting image1d is valid. We can assume it is quite - /// always the case. - bool is_valid() const; - - protected: - result count_; - }; - - /// \brief Check wethever an histogram is equal to an other one. - /// \param[in] histo1 the first histogram to compare with. - /// \param[in] histo2 the second histogram. - /// - /// The operator compare all the bins from the two histograms. - - template <typename V> - bool operator==(const histo1d<V>& histo1, const histo1d<V>& histo2); - -#ifndef MLN_INCLUDE_ONLY - - template <typename V> - inline - histo1d<V>::histo1d() - { - trace::entering("mln::accu::histo::histo1d::cstor"); - typedef mln_trait_value_comp(V,0) comp; - typedef point<grid::tick, V> v_point1d; - typedef box<v_point1d> v_box1d; - - // comp keep a trace of the dimension of the theorical image. - // mln_min(comp) --> 0 - // mln_max(comp) --> 2^(n-1) [127 for n=7][255 for n=8] ... - - count_.init_(box1d(point1d(mln_min(comp)), - point1d(mln_max(comp)))); - - // std::cout << "min : " << mln_min(comp) << std::endl; - // std::cout << "max : " << mln_max(comp) << std::endl; - - trace::exiting("mln::accu::histo::histo1d::cstor"); - } - - template <typename V> - inline - void histo1d<V>::init() - { - data::fill(count_, 0); - } - - template <typename V> - inline - void histo1d<V>::take(const argument& t) - { - // Just convert a graylevel value (int_u8 like) to a position for an - // iterator on the resulting image. - ++count_(point1d(t)); - } - - - template <typename V> - inline - void histo1d<V>::take(const histo1d<V>& other) - { - count_ += other.count_; - } - - template <typename V> - inline - typename histo1d<V>::result histo1d<V>::to_result() const - { - return count_; - } - - template <typename V> - inline - histo1d<V>::operator result() const - { - return count_; - } - - template <typename V> - inline - bool histo1d<V>::is_valid() const - { - bool result = count_.is_valid(); - - return result; - } - - template <typename V> - bool operator==(const histo1d<V>& histo1, const histo1d<V>& histo2) - { - trace::entering("mln::accu::histo::histo1d::operator=="); - - bool result = true; - const image1d<unsigned>& res1 = histo1.to_result(); - const image1d<unsigned>& res2 = histo2.to_result(); - - mln_precondition(res1.is_valid()); - mln_precondition(res2.is_valid()); - - mln_piter(image1d<unsigned>) p1(res1.domain()); - mln_piter(image1d<unsigned>) p2(res2.domain()); - - for_all_2(p1, p2) - result &= (res1(p1) == res2(p2)); - - trace::exiting("mln::accu::histo::histo1d::operator=="); - return result; - } - -#endif // ! MLN_INCLUDE_ONLY - - - } // end of namespace mln::accu::histo - - } // end of namespace mln::accu - -} // end of namespace mln - -#endif // ! MLN_ACCU_HISTO_HISTO1D_HH diff --git a/scribo/sandbox/green/ok/mln/accu/histo/histo2d.hh b/scribo/sandbox/green/ok/mln/accu/histo/histo2d.hh deleted file mode 100644 index fbe9a42..0000000 --- a/scribo/sandbox/green/ok/mln/accu/histo/histo2d.hh +++ /dev/null @@ -1,346 +0,0 @@ -// Copyright (C) 2007 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2008 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2009 EPITA Research and Development Laboratory (LRDE) -// -// This file is part of Olena. -// -// Olena is free software: you can redistribute it and/or modify it under -// the terms of the GNU General Public License as published by the Free -// Software Foundation, version 2 of the License. -// -// Olena is distributed in the hope that it will be useful, -// but WITHOUT ANY WARRANTY; without even the implied warranty of -// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU -// General Public License for more details. -// -// You should have received a copy of the GNU General Public License -// along with Olena. If not, see <http://www.gnu.org/licenses/>. -// -// As a special exception, you may use this file as part of a free -// software project without restriction. Specifically, if other files -// instantiate templates or use macros or inline functions from this -// file, or you compile this file and link it with other files to produce -// an executable, this file does not by itself cause the resulting -// executable to be covered by the GNU General Public License. This -// exception does not however invalidate any other reasons why the -// executable file might be covered by the GNU General Public License. - -#ifndef MLN_ACCU_STAT_HISTO2D_HH -# define MLN_ACCU_STAT_HISTO2D_HH - -/// \file -/// -/// \brief Define a histogram as an accumulator which returns an image1d . -/// -/// This source implements the discrete histogram version. The number of beans -/// is infer from the number of greylevels. A typical rgb8 image has got -/// 256x3 bins. Working with a 8 bit quantification in rgb is very costly. -/// The following sample is a typical use of the histogram. -/// -/// #include <mln/value/rgb.hh> -/// #include <mln/core/image/image1d.hh> -/// #include <mln/core/image/image3d.hh> -/// #include <mln/io/ppm/load.hh> -/// #include <mln/accu/stat/histo3d_rgb.hh> -/// #include <mln/data/compute.hh> -/// -/// #define OLENA_LENA ""/usr/local/share/olena/images/lena.ppm" -/// -/// void test() -/// { -/// typedef mln::value::rgb<7> rgb7; -/// mln::image2d<rgb7> img_ref; -/// mln::image3d<unsigned> img_res; -/// -/// mln::io::ppm::load(img_ref, OLENA_LENA); -/// img_res=mln::data::compute(mln::accu::meta::stat::histo3d_rgb(),img_ref); -/// } - - -# include <iostream> - -# include <mln/accu/internal/base.hh> - -# include <mln/core/macros.hh> -# include <mln/core/image/image2d.hh> -# include <mln/core/alias/point2d.hh> -# include <mln/core/alias/box2d.hh> - -# include <mln/trait/value/comp.hh> - -# include <mln/arith/plus.hh> - -# include <mln/trace/entering.hh> -# include <mln/trace/exiting.hh> - -# include <mln/value/ops.hh> - -namespace mln -{ - - namespace accu - { - - namespace stat - { - - // Forward declaration - template <typename V> - struct histo2d; - - } // end of namespace mln::accu::stat - - namespace meta - { - - namespace stat - { - - struct histo2d : public Meta_Accumulator<histo2d> - { - template <typename V> - struct with - { - typedef accu::stat::histo2d<V> ret; - }; - }; - - } // end of namespace mln::accu::meta::stat - - } // end of namespace mln::accu::meta - - } // end of namespace mln::accu - - - namespace trait - { - - template <typename V> - struct accumulator_< mln::accu::stat::histo2d<V> > - { - typedef accumulator::has_untake::no has_untake; - typedef accumulator::has_set_value::no has_set_value; - typedef accumulator::has_stop::no has_stop; - typedef accumulator::when_pix::use_v when_pix; - }; - - template <typename V> - struct set_precise_binary_<op::eq, - accu::stat::histo2d<V>, - accu::stat::histo2d<V> > - { - typedef bool ret; - }; - - } // end of namespace mln::trait - - namespace accu - { - - namespace stat - { - - /// \brief Define an histogram which returns an image3d . - /// - /// Param V defines the space in which we count the values. - /// For instance, this histogram works image2d<rgb<2>> or - /// image2d<rgb<7>>. The histogram count the occurrence of each value. - /// The number of bins depends of the grayscale values, for 8 bits there - /// is 256x3 bins. Note that over - /// quantification works too. - /// - /// \ingroup modaccuvalues - - template <typename V> - struct histo2d : - public mln::accu::internal::base<image2d<unsigned>, histo2d<V> > - { - typedef V argument; - typedef image2d<unsigned> result; - typedef result q_result; - - /// Constructors - /// \{ - /// \brief Initialize the size of the resulting image1d. - /// - /// Initialize the size the resulting image from the theorical dynamic - /// of the greylevel values (Use V to manage it). - histo2d(); - /// \} - - - /// Manipulators. - /// \{ - /// \brief Initialize the histogram with zero value. - /// - /// This method must be called just before starting the use of the - /// histogram. If it's not, resulting values won't converge to the - /// density. - void init(); - - - /// \brief Update the histogram with the RGB pixel t. - /// \param[in] t a greylevel pixel of type V. - /// - /// The end user shouldn't call this method. In place of it, he can - /// go through the data compute interface. - void take(const argument& t); - - - /// \brief Update the histogram with an other histogram. - /// \param[in] other the other histogram. - void take(const histo2d<V>& other); - /// \} - - /// Accessors. - /// \{ - /// \brief Return the histogram as an image1d. - /// - /// This is the machinery to communicate with data compute interface. - /// The end user should'nt use it. - result to_result() const; - operator result () const; - /// \} - - /// \brief Check whethever this accumulator is able to return a result. - /// - /// Depends if the resulting image1d is valid. We can assume it is quite - /// always the case. - bool is_valid() const; - - protected: - result count_; - }; - - /// \brief Check wethever an histogram is equal to an other one. - /// \param[in] histo1 the first histogram to compare with. - /// \param[in] histo2 the second histogram. - /// - /// The operator compare all the bins from the two histogram. - - template <typename V> - bool operator==(const histo2d<V>& histo1, - const histo2d<V>& histo2); - -#ifndef MLN_INCLUDE_ONLY - - template <typename V> - inline - histo2d<V>::histo2d() - { - trace::entering("mln::accu::stat::histo2d::histo2d"); - typedef mln_trait_value_comp(V,0) comp0; - typedef mln_trait_value_comp(V,1) comp1; - - // comp keep a trace of the dimension of the theorical image. - // mln_min(comp) --> 0 - // mln_max(comp) --> 2^(n-1) [127 for n=7][255 for n=8] ... - - count_.init_(box2d(point2d(mln_min(comp0), - mln_min(comp1)), - point2d(mln_max(comp0), - mln_max(comp1)))); - - trace::exiting("mln::accu::stat::histo2d::histo2d"); - } - - template <typename V> - inline - void histo2d<V>::init() - { - trace::entering("mln::accu::stat::histo2d::init"); - - data::fill(count_, 0); - trace::exiting("mln::accu::stat::histo2d::init"); - } - - template <typename V> - inline - void histo2d<V>::take(const argument& t) - { - trace::entering("mln::accu::stat::histo2d::take"); - - // Just convert a greyscale value (int_u8 like) to a position for an - // iterator on the resulting image. - // Take care to the constructor : Point(slice, row, column) - ++count_(point2d(t.red(), t.green())); - - trace::exiting("mln::accu::stat::histo2d::take"); - } - - - template <typename V> - inline - void histo2d<V>::take(const histo2d<V>& other) - { - trace::entering("mln::accu::stat::histo2d::take"); - - count_ += other.count_; - - trace::exiting("mln::accu::stat::histo2d::take"); - } - - template <typename V> - inline - typename histo2d<V>::result histo2d<V>::to_result() const - { - trace::entering("mln::accu::stat::histo2d::to_result"); - - trace::exiting("mln::accu::stat::histo2d::to_result"); - return count_; - } - - template <typename V> - inline - histo2d<V>::operator result() const - { - trace::entering("mln::accu::stat::histo2d::operator result"); - - trace::exiting("mln::accu::stat::histo2d::operator result"); - return count_; - } - - template <typename V> - inline - bool histo2d<V>::is_valid() const - { - trace::entering("mln::accu::stat::histo2d::is_valid"); - bool result = count_.is_valid(); - - trace::exiting("mln::accu::stat::histo2d::is_valid"); - return result; - } - - template <typename V> - bool operator==(const histo2d<V>& histo1, - const histo2d<V>& histo2) - { - trace::entering("mln::accu::stat::operator=="); - - bool result = true; - const image2d<unsigned>& res1 = histo1.to_result(); - const image2d<unsigned>& res2 = histo2.to_result(); - - mln_precondition(res1.is_valid()); - mln_precondition(res2.is_valid()); - - mln_piter(image2d<unsigned>) p1(res1.domain()); - mln_piter(image2d<unsigned>) p2(res2.domain()); - - for_all_2(p1, p2) - result &= (res1(p1) == res2(p2)); - - trace::exiting("mln::accu::stat::operator=="); - return result; - } - -#endif // ! MLN_INCLUDE_ONLY - - - } // end of namespace mln::accu::stat - - } // end of namespace mln::accu - -} // end of namespace mln - -#endif // ! MLN_ACCU_STAT_HISTO2D_HH diff --git a/scribo/sandbox/green/ok/mln/accu/histo/histo3d.hh b/scribo/sandbox/green/ok/mln/accu/histo/histo3d.hh deleted file mode 100644 index 48c49da..0000000 --- a/scribo/sandbox/green/ok/mln/accu/histo/histo3d.hh +++ /dev/null @@ -1,349 +0,0 @@ -// Copyright (C) 2007 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2008 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2009 EPITA Research and Development Laboratory (LRDE) -// -// This file is part of Olena. -// -// Olena is free software: you can redistribute it and/or modify it under -// the terms of the GNU General Public License as published by the Free -// Software Foundation, version 2 of the License. -// -// Olena is distributed in the hope that it will be useful, -// but WITHOUT ANY WARRANTY; without even the implied warranty of -// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU -// General Public License for more details. -// -// You should have received a copy of the GNU General Public License -// along with Olena. If not, see <http://www.gnu.org/licenses/>. -// -// As a special exception, you may use this file as part of a free -// software project without restriction. Specifically, if other files -// instantiate templates or use macros or inline functions from this -// file, or you compile this file and link it with other files to produce -// an executable, this file does not by itself cause the resulting -// executable to be covered by the GNU General Public License. This -// exception does not however invalidate any other reasons why the -// executable file might be covered by the GNU General Public License. - -#ifndef MLN_ACCU_STAT_HISTO3D_RGB_HH -#define MLN_ACCU_STAT_HISTO3D_RGB_HH - -/// \file -/// -/// \brief Define a histogram as an accumulator which returns an image1d . -/// -/// This source implements the discrete histogram version. The number of beans -/// is infer from the number of greylevels. A typical rgb8 image has got -/// 256x3 bins. Working with a 8 bit quantification in rgb is very costly. -/// The following sample is a typical use of the histogram. -/// -/// #include <mln/value/rgb.hh> -/// #include <mln/core/image/image1d.hh> -/// #include <mln/core/image/image3d.hh> -/// #include <mln/io/ppm/load.hh> -/// #include <mln/accu/stat/histo3d_rgb.hh> -/// #include <mln/data/compute.hh> -/// -/// #define OLENA_LENA ""/usr/local/share/olena/images/lena.ppm" -/// -/// void test() -/// { -/// typedef mln::value::rgb<7> rgb7; -/// mln::image2d<rgb7> img_ref; -/// mln::image3d<unsigned> img_res; -/// -/// mln::io::ppm::load(img_ref, OLENA_LENA); -/// img_res=mln::data::compute(mln::accu::meta::stat::histo3d_rgb(),img_ref); -/// } - - -#include <iostream> - -#include <mln/accu/internal/base.hh> - -#include <mln/core/macros.hh> -#include <mln/core/image/image3d.hh> -#include <mln/core/alias/point3d.hh> -#include <mln/core/alias/box3d.hh> - -#include <mln/trait/value/comp.hh> - -#include <mln/arith/plus.hh> - -#include <mln/trace/entering.hh> -#include <mln/trace/exiting.hh> - -#include <mln/value/ops.hh> - -namespace mln -{ - - namespace accu - { - - namespace stat - { - - // Forward declaration - template <typename V> - struct histo3d_rgb; - - } // end of namespace mln::accu::stat - - namespace meta - { - - namespace stat - { - - struct histo3d_rgb : public Meta_Accumulator<histo3d_rgb> - { - template <typename V> - struct with - { - typedef accu::stat::histo3d_rgb<V> ret; - }; - }; - - } // end of namespace mln::accu::meta::stat - - } // end of namespace mln::accu::meta - - } // end of namespace mln::accu - - - namespace trait - { - - template <typename V> - struct accumulator_< mln::accu::stat::histo3d_rgb<V> > - { - typedef accumulator::has_untake::no has_untake; - typedef accumulator::has_set_value::no has_set_value; - typedef accumulator::has_stop::no has_stop; - typedef accumulator::when_pix::use_v when_pix; - }; - - template <typename V> - struct set_precise_binary_<op::eq, - accu::stat::histo3d_rgb<V>, - accu::stat::histo3d_rgb<V> > - { - typedef bool ret; - }; - - } // end of namespace mln::trait - - namespace accu - { - - namespace stat - { - - /// \brief Define an histogram which returns an image3d . - /// - /// Param V defines the space in which we count the values. - /// For instance, this histogram works image2d<rgb<2>> or - /// image2d<rgb<7>>. The histogram count the occurrence of each value. - /// The number of bins depends of the grayscale values, for 8 bits there - /// is 256x3 bins. Note that over - /// quantification works too. - /// - /// \ingroup modaccuvalues - - template <typename V> - struct histo3d_rgb : - public mln::accu::internal::base<image3d<unsigned>, histo3d_rgb<V> > - { - typedef V argument; - typedef image3d<unsigned> result; - typedef result q_result; - - /// Constructors - /// \{ - /// \brief Initialize the size of the resulting image1d. - /// - /// Initialize the size the resulting image from the theorical dynamic - /// of the greylevel values (Use V to manage it). - histo3d_rgb(); - /// \} - - - /// Manipulators. - /// \{ - /// \brief Initialize the histogram with zero value. - /// - /// This method must be called just before starting the use of the - /// histogram. If it's not, resulting values won't converge to the - /// density. - void init(); - - - /// \brief Update the histogram with the RGB pixel t. - /// \param[in] t a greylevel pixel of type V. - /// - /// The end user shouldn't call this method. In place of it, he can - /// go through the data compute interface. - void take(const argument& t); - - - /// \brief Update the histogram with an other histogram. - /// \param[in] other the other histogram. - void take(const histo3d_rgb<V>& other); - /// \} - - /// Accessors. - /// \{ - /// \brief Return the histogram as an image1d. - /// - /// This is the machinery to communicate with data compute interface. - /// The end user should'nt use it. - result to_result() const; - operator result () const; - /// \} - - /// \brief Check whethever this accumulator is able to return a result. - /// - /// Depends if the resulting image1d is valid. We can assume it is quite - /// always the case. - bool is_valid() const; - - protected: - result count_; - }; - - /// \brief Check wethever an histogram is equal to an other one. - /// \param[in] histo1 the first histogram to compare with. - /// \param[in] histo2 the second histogram. - /// - /// The operator compare all the bins from the two histogram. - - template <typename V> - bool operator==(const histo3d_rgb<V>& histo1, - const histo3d_rgb<V>& histo2); - -#ifndef MLN_INCLUDE_ONLY - - template <typename V> - inline - histo3d_rgb<V>::histo3d_rgb() - { - trace::entering("mln::accu::stat::histo3d_rgb<V>::histo3d_rgb"); - typedef mln_trait_value_comp(V,0) comp0; - typedef mln_trait_value_comp(V,1) comp1; - typedef mln_trait_value_comp(V,2) comp2; - - // comp keep a trace of the dimension of the theorical image. - // mln_min(comp) --> 0 - // mln_max(comp) --> 2^(n-1) [127 for n=7][255 for n=8] ... - - count_.init_(box3d(point3d(mln_min(comp0), - mln_min(comp1), - mln_min(comp2)), - point3d(mln_max(comp0), - mln_max(comp1), - mln_max(comp2)))); - - trace::exiting("mln::accu::stat::histo3d_rgb<V>::histo3d_rgb"); - } - - template <typename V> - inline - void histo3d_rgb<V>::init() - { - trace::entering("mln::accu::stat::histo3d_rgb<V>::init"); - - data::fill(count_, 0); - trace::exiting("mln::accu::stat::histo3d_rgb<V>::init"); - } - - template <typename V> - inline - void histo3d_rgb<V>::take(const argument& t) - { - trace::entering("mln::accu::stat::histo3d_rgb<V>::take"); - - // Just convert a greyscale value (int_u8 like) to a position for an - // iterator on the resulting image. - // Take care to the constructor : Point(slice, row, column) - ++count_(point3d(t.blue(), t.red(), t.green())); - - trace::exiting("mln::accu::stat::histo3d_rgb<V>::take"); - } - - - template <typename V> - inline - void histo3d_rgb<V>::take(const histo3d_rgb<V>& other) - { - trace::entering("mln::accu::stat::histo3d_rgb<V>::take"); - - count_ += other.count_; - - trace::exiting("mln::accu::stat::histo3d_rgb<V>::take"); - } - - template <typename V> - inline - typename histo3d_rgb<V>::result histo3d_rgb<V>::to_result() const - { - trace::entering("mln::accu::stat::histo3d_rgb<V>::to_result"); - - trace::exiting("mln::accu::stat::histo3d_rgb<V>::to_result"); - return count_; - } - - template <typename V> - inline - histo3d_rgb<V>::operator result() const - { - trace::entering("mln::accu::stat::histo3d_rgb<V>::operator result"); - - trace::exiting("mln::accu::stat::histo3d_rgb<V>::operator result"); - return count_; - } - - template <typename V> - inline - bool histo3d_rgb<V>::is_valid() const - { - trace::entering("mln::accu::stat::histo3d_rgb<V>::is_valid"); - bool result = count_.is_valid(); - - trace::exiting("mln::accu::stat::histo3d_rgb<V>::is_valid"); - return result; - } - - template <typename V> - bool operator==(const histo3d_rgb<V>& histo1, - const histo3d_rgb<V>& histo2) - { - trace::entering("mln::accu::stat::operator=="); - - bool result = true; - const image3d<unsigned>& res1 = histo1.to_result(); - const image3d<unsigned>& res2 = histo2.to_result(); - - mln_precondition(res1.is_valid()); - mln_precondition(res2.is_valid()); - - mln_piter(image3d<unsigned>) p1(res1.domain()); - mln_piter(image3d<unsigned>) p2(res2.domain()); - - for_all_2(p1, p2) - result &= (res1(p1) == res2(p2)); - - trace::exiting("mln::accu::stat::operator=="); - return result; - } - -#endif // ! MLN_INCLUDE_ONLY - - - } // end of namespace mln::accu::stat - - } // end of namespace mln::accu - -} // end of namespace mln - -#endif // ! MLN_ACCU_STAT_HISTO3D_RGB_HH diff --git a/scribo/sandbox/green/ok/mln/img_path.hh b/scribo/sandbox/green/ok/mln/img_path.hh deleted file mode 100644 index d205e1f..0000000 --- a/scribo/sandbox/green/ok/mln/img_path.hh +++ /dev/null @@ -1,239 +0,0 @@ -// Copyright (C) 2007 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2008 EPITA Research and Development Laboratory (LRDE) -// Copyright (C) 2009 EPITA Research and Development Laboratory (LRDE) -// -// This file is part of Olena. -// -// Olena is free software: you can redistribute it and/or modify it under -// the terms of the GNU General Public License as published by the Free -// Software Foundation, version 2 of the License. -// -// Olena is distributed in the hope that it will be useful, -// but WITHOUT ANY WARRANTY; without even the implied warranty of -// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU -// General Public License for more details. -// -// You should have received a copy of the GNU General Public License -// along with Olena. If not, see <http://www.gnu.org/licenses/>. -// -// As a special exception, you may use this file as part of a free -// software project without restriction. Specifically, if other files -// instantiate templates or use macros or inline functions from this -// file, or you compile this file and link it with other files to produce -// an executable, this file does not by itself cause the resulting -// executable to be covered by the GNU General Public License. This -// exception does not however invalidate any other reasons why the -// executable file might be covered by the GNU General Public License. - -#ifndef MLN_IMG_PATH_HH -# define MLN_IMG_PATH_HH - -# define IMG_PATH "/home/green/git/img" -# define RET_PATH "/home/green/git/result" - -# define INIM_IMG_PATH IMG_PATH"/inim" -# define INIM_BG_IMG_PATH INIM_IMG_PATH"/bg" -# define INIM_FG_IMG_PATH INIM_IMG_PATH"/fg" -# define INIM_IN_IMG_PATH INIM_IMG_PATH"/in" - -# define OLENA_IMG_PATH IMG_PATH"/olena" - -# define ICDAR_IMG_PATH IMG_PATH"/icdar" -# define ICDAR_100P_IMG_PATH ICDAR_IMG_PATH"/100p" -# define ICDAR_100P_PPM_IMG_PATH ICDAR_100P_IMG_PATH"/ppm" -# define ICDAR_100P_PGM_IMG_PATH ICDAR_100P_IMG_PATH"/pgm" -# define ICDAR_100P_PBM_IMG_PATH ICDAR_100P_IMG_PATH"/pbm" -# define ICDAR_100P_THICK_IMG_PATH ICDAR_100P_IMG_PATH"/gradient_thick" -# define ICDAR_100P_THIN_IMG_PATH ICDAR_100P_IMG_PATH"/gradient_thin" - -# define ICDAR_50P_IMG_PATH ICDAR_IMG_PATH"/50p" -# define ICDAR_50P_PPM_IMG_PATH ICDAR_50P_IMG_PATH"/ppm" -# define ICDAR_50P_PGM_IMG_PATH ICDAR_50P_IMG_PATH"/pgm" -# define ICDAR_50P_PBM_IMG_PATH ICDAR_50P_IMG_PATH"/pbm" - -# define ICDAR_20P_IMG_PATH ICDAR_IMG_PATH"/20p" -# define ICDAR_20P_TEXT_ONLY_IMG_PATH ICDAR_20P_IMG_PATH"/text-only" -# define ICDAR_20P_TEXT_COLOR_IMG_PATH ICDAR_20P_IMG_PATH"/text-color" -# define ICDAR_20P_TEXT_PHOTO_IMG_PATH ICDAR_20P_IMG_PATH"/text-photo" -# define ICDAR_20P_GMP30_IMG_PATH ICDAR_20P_IMG_PATH"/gimp-pal-30" -# define ICDAR_20P_MGK30_IMG_PATH ICDAR_20P_IMG_PATH"/magick-pal-30" -# define ICDAR_20P_GMP20_IMG_PATH ICDAR_20P_IMG_PATH"/gimp-pal-20" -# define ICDAR_20P_MGK20_IMG_PATH ICDAR_20P_IMG_PATH"/magick-pal-20" -# define ICDAR_20P_GMP10_IMG_PATH ICDAR_20P_IMG_PATH"/gimp-pal-10" -# define ICDAR_20P_MGK10_IMG_PATH ICDAR_20P_IMG_PATH"/magick-pal-10" -# define ICDAR_20P_INPUT_IMG_PATH ICDAR_20P_IMG_PATH"/ppm" -# define ICDAR_20P_CROP_IMG_PATH ICDAR_20P_IMG_PATH"/crop" -# define ICDAR_20P_PGM_IMG_PATH ICDAR_20P_IMG_PATH"/pgm" -# define ICDAR_20P_PPM_IMG_PATH ICDAR_20P_IMG_PATH"/ppm" -# define ICDAR_20P_PBM_IMG_PATH ICDAR_20P_IMG_PATH"/pbm" - -# define AFP_IMG_PATH IMG_PATH"/afp" -# define AFP_GMP30_IMG_PATH AFP_IMG_PATH"/gimp-pal-30" -# define AFP_GMP20_IMG_PATH AFP_IMG_PATH"/gimp-pal-20" -# define AFP_GMP10_IMG_PATH AFP_IMG_PATH"/gimp-pal-10" -# define AFP_MGK30_IMG_PATH AFP_IMG_PATH"/magick-pal-30" -# define AFP_MGK20_IMG_PATH AFP_IMG_PATH"/magick-pal-20" -# define AFP_MGK10_IMG_PATH AFP_IMG_PATH"/magick-pal-10" -# define AFP_INPUT_IMG_PATH AFP_IMG_PATH"/ppm" -# define AFP_PPM_IMG_PATH AFP_IMG_PATH"/ppm" -# define AFP_JPG_IMG_PATH AFP_IMG_PATH"/jpg" - -# define ANNOTATING_1_IMG_PATH IMG_PATH"/annotating-1" -# define ANNOTATING_1_BILL_IMG_PATH ANNOTATING_1_IMG_PATH"/bill" -# define ANNOTATING_1_FAX_IMG_PATH ANNOTATING_1_IMG_PATH"/fax" -# define ANNOTATING_1_HANDWRITTEN_IMG_PATH ANNOTATING_1_IMG_PATH"/handwritten" -# define ANNOTATING_1_LOGO_IMG_PATH ANNOTATING_1_IMG_PATH"/logo" -# define ANNOTATING_1_MAP_IMG_PATH ANNOTATING_1_IMG_PATH"/map" -# define ANNOTATING_1_SCREENSHOT_IMG_PATH ANNOTATING_1_IMG_PATH"/screenshot" -# define ANNOTATING_1_SLIDE_IMG_PATH ANNOTATING_1_IMG_PATH"/slide" -# define ANNOTATING_1_TYPED_IMG_PATH ANNOTATING_1_IMG_PATH"/typed" -# define ANNOTATING_1_PHOTO_IMG_PATH ANNOTATING_1_IMG_PATH"/photo" - -# define ANNOTATING_2_IMG_PATH IMG_PATH"/annotating-2" -# define ANNOTATING_2_BILL_IMG_PATH ANNOTATING_2_IMG_PATH"/bill" -# define ANNOTATING_2_FAX_IMG_PATH ANNOTATING_2_IMG_PATH"/fax" -# define ANNOTATING_2_HANDWRITTEN_IMG_PATH ANNOTATING_2_IMG_PATH"/handwritten" -# define ANNOTATING_2_LOGO_IMG_PATH ANNOTATING_2_IMG_PATH"/logo" -# define ANNOTATING_2_MAP_IMG_PATH ANNOTATING_2_IMG_PATH"/map" -# define ANNOTATING_2_SCREENSHOT_IMG_PATH ANNOTATING_2_IMG_PATH"/screenshot" -# define ANNOTATING_2_SLIDE_IMG_PATH ANNOTATING_2_IMG_PATH"/slide" -# define ANNOTATING_2_TYPED_IMG_PATH ANNOTATING_2_IMG_PATH"/typed" -# define ANNOTATING_2_PHOTO_IMG_PATH ANNOTATING_2_IMG_PATH"/photo" - -// result directories -# define ANNOTATING_RET_PATH RET_PATH"/annotating" - -# define ANNOTATING_ICDAR_RET_PATH ANNOTATING_RET_PATH"/icdar" - -# define ANNOTATING_ICDAR_INPUT_RET_PATH ANNOTATING_ICDAR_RET_PATH"/input" -# define ANNOTATING_ICDAR_H_INPUT_RET_PATH ANNOTATING_ICDAR_INPUT_RET_PATH"/h" -# define ANNOTATING_ICDAR_S_INPUT_RET_PATH ANNOTATING_ICDAR_INPUT_RET_PATH"/s" -# define ANNOTATING_ICDAR_V_INPUT_RET_PATH ANNOTATING_ICDAR_INPUT_RET_PATH"/v" -# define ANNOTATING_ICDAR_R_INPUT_RET_PATH ANNOTATING_ICDAR_INPUT_RET_PATH"/r" -# define ANNOTATING_ICDAR_G_INPUT_RET_PATH ANNOTATING_ICDAR_INPUT_RET_PATH"/g" -# define ANNOTATING_ICDAR_B_INPUT_RET_PATH ANNOTATING_ICDAR_INPUT_RET_PATH"/b" - -# define ANNOTATING_ICDAR_GMP30_RET_PATH ANNOTATING_ICDAR_RET_PATH"/gimp-pal-30" -# define ANNOTATING_ICDAR_H_GMP30_RET_PATH ANNOTATING_ICDAR_GMP30_RET_PATH"/h" -# define ANNOTATING_ICDAR_S_GMP30_RET_PATH ANNOTATING_ICDAR_GMP30_RET_PATH"/s" -# define ANNOTATING_ICDAR_V_GMP30_RET_PATH ANNOTATING_ICDAR_GMP30_RET_PATH"/v" -# define ANNOTATING_ICDAR_R_GMP30_RET_PATH ANNOTATING_ICDAR_GMP30_RET_PATH"/r" -# define ANNOTATING_ICDAR_G_GMP30_RET_PATH ANNOTATING_ICDAR_GMP30_RET_PATH"/g" -# define ANNOTATING_ICDAR_B_GMP30_RET_PATH ANNOTATING_ICDAR_GMP30_RET_PATH"/b" - -# define ANNOTATING_ICDAR_GMP20_RET_PATH ANNOTATING_ICDAR_RET_PATH"/gimp-pal-20" -# define ANNOTATING_ICDAR_H_GMP20_RET_PATH ANNOTATING_ICDAR_GMP20_RET_PATH"/h" -# define ANNOTATING_ICDAR_S_GMP20_RET_PATH ANNOTATING_ICDAR_GMP20_RET_PATH"/s" -# define ANNOTATING_ICDAR_V_GMP20_RET_PATH ANNOTATING_ICDAR_GMP20_RET_PATH"/v" -# define ANNOTATING_ICDAR_R_GMP20_RET_PATH ANNOTATING_ICDAR_GMP20_RET_PATH"/r" -# define ANNOTATING_ICDAR_G_GMP20_RET_PATH ANNOTATING_ICDAR_GMP20_RET_PATH"/g" -# define ANNOTATING_ICDAR_B_GMP20_RET_PATH ANNOTATING_ICDAR_GMP20_RET_PATH"/b" - -# define ANNOTATING_ICDAR_GMP10_RET_PATH ANNOTATING_ICDAR_RET_PATH"/gimp-pal-10" -# define ANNOTATING_ICDAR_H_GMP10_RET_PATH ANNOTATING_ICDAR_GMP10_RET_PATH"/h" -# define ANNOTATING_ICDAR_S_GMP10_RET_PATH ANNOTATING_ICDAR_GMP10_RET_PATH"/s" -# define ANNOTATING_ICDAR_V_GMP10_RET_PATH ANNOTATING_ICDAR_GMP10_RET_PATH"/v" -# define ANNOTATING_ICDAR_R_GMP10_RET_PATH ANNOTATING_ICDAR_GMP10_RET_PATH"/r" -# define ANNOTATING_ICDAR_G_GMP10_RET_PATH ANNOTATING_ICDAR_GMP10_RET_PATH"/g" -# define ANNOTATING_ICDAR_B_GMP10_RET_PATH ANNOTATING_ICDAR_GMP10_RET_PATH"/b" - -# define ANNOTATING_ICDAR_MGK30_RET_PATH ANNOTATING_ICDAR_RET_PATH"/magick-pal-30" -# define ANNOTATING_ICDAR_H_MGK30_RET_PATH ANNOTATING_ICDAR_MGK30_RET_PATH"/h" -# define ANNOTATING_ICDAR_S_MGK30_RET_PATH ANNOTATING_ICDAR_MGK30_RET_PATH"/s" -# define ANNOTATING_ICDAR_V_MGK30_RET_PATH ANNOTATING_ICDAR_MGK30_RET_PATH"/v" -# define ANNOTATING_ICDAR_R_MGK30_RET_PATH ANNOTATING_ICDAR_MGK30_RET_PATH"/r" -# define ANNOTATING_ICDAR_G_MGK30_RET_PATH ANNOTATING_ICDAR_MGK30_RET_PATH"/g" -# define ANNOTATING_ICDAR_B_MGK30_RET_PATH ANNOTATING_ICDAR_MGK30_RET_PATH"/b" - -# define ANNOTATING_ICDAR_MGK20_RET_PATH ANNOTATING_ICDAR_RET_PATH"/magick-pal-20" -# define ANNOTATING_ICDAR_H_MGK20_RET_PATH ANNOTATING_ICDAR_MGK20_RET_PATH"/h" -# define ANNOTATING_ICDAR_S_MGK20_RET_PATH ANNOTATING_ICDAR_MGK20_RET_PATH"/s" -# define ANNOTATING_ICDAR_V_MGK20_RET_PATH ANNOTATING_ICDAR_MGK20_RET_PATH"/v" -# define ANNOTATING_ICDAR_R_MGK20_RET_PATH ANNOTATING_ICDAR_MGK20_RET_PATH"/r" -# define ANNOTATING_ICDAR_G_MGK20_RET_PATH ANNOTATING_ICDAR_MGK20_RET_PATH"/g" -# define ANNOTATING_ICDAR_B_MGK20_RET_PATH ANNOTATING_ICDAR_MGK20_RET_PATH"/b" - -# define ANNOTATING_ICDAR_MGK10_RET_PATH ANNOTATING_ICDAR_RET_PATH"/magick-pal-10" -# define ANNOTATING_ICDAR_H_MGK10_RET_PATH ANNOTATING_ICDAR_MGK10_RET_PATH"/h" -# define ANNOTATING_ICDAR_S_MGK10_RET_PATH ANNOTATING_ICDAR_MGK10_RET_PATH"/s" -# define ANNOTATING_ICDAR_V_MGK10_RET_PATH ANNOTATING_ICDAR_MGK10_RET_PATH"/v" -# define ANNOTATING_ICDAR_R_MGK10_RET_PATH ANNOTATING_ICDAR_MGK10_RET_PATH"/r" -# define ANNOTATING_ICDAR_G_MGK10_RET_PATH ANNOTATING_ICDAR_MGK10_RET_PATH"/g" -# define ANNOTATING_ICDAR_B_MGK10_RET_PATH ANNOTATING_ICDAR_MGK10_RET_PATH"/b" - - - - -# define ANNOTATING_AFP_RET_PATH ANNOTATING_RET_PATH"/afp" - -# define ANNOTATING_AFP_INPUT_RET_PATH ANNOTATING_AFP_RET_PATH"/input" -# define ANNOTATING_AFP_H_INPUT_RET_PATH ANNOTATING_AFP_INPUT_RET_PATH"/h" -# define ANNOTATING_AFP_S_INPUT_RET_PATH ANNOTATING_AFP_INPUT_RET_PATH"/s" -# define ANNOTATING_AFP_V_INPUT_RET_PATH ANNOTATING_AFP_INPUT_RET_PATH"/v" -# define ANNOTATING_AFP_R_INPUT_RET_PATH ANNOTATING_AFP_INPUT_RET_PATH"/r" -# define ANNOTATING_AFP_G_INPUT_RET_PATH ANNOTATING_AFP_INPUT_RET_PATH"/g" -# define ANNOTATING_AFP_B_INPUT_RET_PATH ANNOTATING_AFP_INPUT_RET_PATH"/b" - -# define ANNOTATING_AFP_GMP30_RET_PATH ANNOTATING_AFP_RET_PATH"/gimp-pal-30" -# define ANNOTATING_AFP_H_GMP30_RET_PATH ANNOTATING_AFP_GMP30_RET_PATH"/h" -# define ANNOTATING_AFP_S_GMP30_RET_PATH ANNOTATING_AFP_GMP30_RET_PATH"/s" -# define ANNOTATING_AFP_V_GMP30_RET_PATH ANNOTATING_AFP_GMP30_RET_PATH"/v" -# define ANNOTATING_AFP_R_GMP30_RET_PATH ANNOTATING_AFP_GMP30_RET_PATH"/r" -# define ANNOTATING_AFP_G_GMP30_RET_PATH ANNOTATING_AFP_GMP30_RET_PATH"/g" -# define ANNOTATING_AFP_B_GMP30_RET_PATH ANNOTATING_AFP_GMP30_RET_PATH"/b" - -# define ANNOTATING_AFP_GMP20_RET_PATH ANNOTATING_AFP_RET_PATH"/gimp-pal-20" -# define ANNOTATING_AFP_H_GMP20_RET_PATH ANNOTATING_AFP_GMP20_RET_PATH"/h" -# define ANNOTATING_AFP_S_GMP20_RET_PATH ANNOTATING_AFP_GMP20_RET_PATH"/s" -# define ANNOTATING_AFP_V_GMP20_RET_PATH ANNOTATING_AFP_GMP20_RET_PATH"/v" -# define ANNOTATING_AFP_R_GMP20_RET_PATH ANNOTATING_AFP_GMP20_RET_PATH"/r" -# define ANNOTATING_AFP_G_GMP20_RET_PATH ANNOTATING_AFP_GMP20_RET_PATH"/g" -# define ANNOTATING_AFP_B_GMP20_RET_PATH ANNOTATING_AFP_GMP20_RET_PATH"/b" - -# define ANNOTATING_AFP_GMP10_RET_PATH ANNOTATING_AFP_RET_PATH"/gimp-pal-10" -# define ANNOTATING_AFP_H_GMP10_RET_PATH ANNOTATING_AFP_GMP10_RET_PATH"/h" -# define ANNOTATING_AFP_S_GMP10_RET_PATH ANNOTATING_AFP_GMP10_RET_PATH"/s" -# define ANNOTATING_AFP_V_GMP10_RET_PATH ANNOTATING_AFP_GMP10_RET_PATH"/v" -# define ANNOTATING_AFP_R_GMP10_RET_PATH ANNOTATING_AFP_GMP10_RET_PATH"/r" -# define ANNOTATING_AFP_G_GMP10_RET_PATH ANNOTATING_AFP_GMP10_RET_PATH"/g" -# define ANNOTATING_AFP_B_GMP10_RET_PATH ANNOTATING_AFP_GMP10_RET_PATH"/b" - -# define ANNOTATING_AFP_MGK30_RET_PATH ANNOTATING_AFP_RET_PATH"/magick-pal-30" -# define ANNOTATING_AFP_H_MGK30_RET_PATH ANNOTATING_AFP_MGK30_RET_PATH"/h" -# define ANNOTATING_AFP_S_MGK30_RET_PATH ANNOTATING_AFP_MGK30_RET_PATH"/s" -# define ANNOTATING_AFP_V_MGK30_RET_PATH ANNOTATING_AFP_MGK30_RET_PATH"/v" -# define ANNOTATING_AFP_R_MGK30_RET_PATH ANNOTATING_AFP_MGK30_RET_PATH"/r" -# define ANNOTATING_AFP_G_MGK30_RET_PATH ANNOTATING_AFP_MGK30_RET_PATH"/g" -# define ANNOTATING_AFP_B_MGK30_RET_PATH ANNOTATING_AFP_MGK30_RET_PATH"/b" - -# define ANNOTATING_AFP_MGK20_RET_PATH ANNOTATING_AFP_RET_PATH"/magick-pal-20" -# define ANNOTATING_AFP_H_MGK20_RET_PATH ANNOTATING_AFP_MGK20_RET_PATH"/h" -# define ANNOTATING_AFP_S_MGK20_RET_PATH ANNOTATING_AFP_MGK20_RET_PATH"/s" -# define ANNOTATING_AFP_V_MGK20_RET_PATH ANNOTATING_AFP_MGK20_RET_PATH"/v" -# define ANNOTATING_AFP_R_MGK20_RET_PATH ANNOTATING_AFP_MGK20_RET_PATH"/r" -# define ANNOTATING_AFP_G_MGK20_RET_PATH ANNOTATING_AFP_MGK20_RET_PATH"/g" -# define ANNOTATING_AFP_B_MGK20_RET_PATH ANNOTATING_AFP_MGK20_RET_PATH"/b" - -# define ANNOTATING_AFP_MGK10_RET_PATH ANNOTATING_AFP_RET_PATH"/magick-pal-10" -# define ANNOTATING_AFP_H_MGK10_RET_PATH ANNOTATING_AFP_MGK10_RET_PATH"/h" -# define ANNOTATING_AFP_S_MGK10_RET_PATH ANNOTATING_AFP_MGK10_RET_PATH"/s" -# define ANNOTATING_AFP_V_MGK10_RET_PATH ANNOTATING_AFP_MGK10_RET_PATH"/v" -# define ANNOTATING_AFP_R_MGK10_RET_PATH ANNOTATING_AFP_MGK10_RET_PATH"/r" -# define ANNOTATING_AFP_G_MGK10_RET_PATH ANNOTATING_AFP_MGK10_RET_PATH"/g" -# define ANNOTATING_AFP_B_MGK10_RET_PATH ANNOTATING_AFP_MGK10_RET_PATH"/b" - - -# define ANNOTATING_BILL_RET_PATH ANNOTATING_RET_PATH"/bill" -# define ANNOTATING_FAX_RET_PATH ANNOTATING_RET_PATH"/fax" -# define ANNOTATING_HANDWRITTEN_RET_PATH ANNOTATING_RET_PATH"/handwritten" -# define ANNOTATING_LOGO_RET_PATH ANNOTATING_RET_PATH"/logo" -# define ANNOTATING_MAP_RET_PATH ANNOTATING_RET_PATH"/map" -# define ANNOTATING_SCREENSHOT_RET_PATH ANNOTATING_RET_PATH"/screenshot" -# define ANNOTATING_SLIDE_RET_PATH ANNOTATING_RET_PATH"/slide" -# define ANNOTATING_TYPED_RET_PATH ANNOTATING_RET_PATH"/typed" -# define ANNOTATING_PHOTO_RET_PATH ANNOTATING_RET_PATH"/photo" - -# define ANNOTATING_ICDAR_ACHROMATISM_RET_PATH ANNOTATING_ICDAR_RET_PATH"/achromatism" - - -#endif // ! MLN_IMG_PATH_HH diff --git a/scribo/sandbox/green/ok/test/accu/histo/gaussian.sh b/scribo/sandbox/green/ok/test/accu/histo/gaussian.sh deleted file mode 100755 index 4d2164a..0000000 --- a/scribo/sandbox/green/ok/test/accu/histo/gaussian.sh +++ /dev/null @@ -1,12 +0,0 @@ -#!/bin/sh - -############ -# gaussian # -############ - -gnuplot <<EOF -set terminal x11 persist 1 -square(x)=x*x -gaussian(x,mean,sigma)=exp(-0.5*square((x-mean)/sigma))/(sigma*sqrt(2*pi)) -plot [-20:20] gaussian(x,0,6) -EOF diff --git a/scribo/sandbox/green/ok/test/accu/histo/histo1d b/scribo/sandbox/green/ok/test/accu/histo/histo1d deleted file mode 100755 index b277232943e4d2dba3f588f8a5de24cd17e73c04..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 808312 zcmdqK31C#!6+b+IK%<Q&R#a5fp`Zp-7R8oLjmoH0&<I9xi6JDxq=qCW6T}6@23n?L zD0Qj0gScR875BJDKtQDy6>U`1sHhW@YN}D9Q2BnpbI*OtWF`T$-}nE2=;Y1a&VJ81 z_rCkyTosydQc6ln!2atI=ow%s^Sacu5xDj#+f|xI1cHIIKvrN-;E+IX)Ua*D9Q46Q 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--- a/scribo/sandbox/green/ok/test/accu/histo/histo1d.cc +++ /dev/null @@ -1,726 +0,0 @@ -/// TEST HISTO1D - -#include <mln/accu/histo/histo1d.hh> -#include <mln/data/compute.hh> -#include <mln/core/image/image1d.hh> -#include <mln/core/image/image2d.hh> -#include <mln/img_path.hh> -#include <mln/io/pgm/load.hh> -#include <mln/value/int_u8.hh> - -int main() -{ - typedef mln::value::int_u8 t_int_u8; - mln::image2d<t_int_u8> img; - mln::image1d<unsigned> histo; - - mln::io::pgm::load(img, OLENA_IMG_PATH"/lena.pgm"); - histo = mln::data::compute(mln::accu::meta::histo::histo1d(), img); - - return 0; -} - -// #include <mln/img_path.hh> - -// #include <mln/io/plot/save_histo_sh.hh> -// #include <mln/accu/stat/histo1d.hh> -// #include <mln/fun/v2v/int_u16_to_int_u14.hh> - -// #include <mln/io/pgm/load.hh> -// #include <mln/io/pgm/save.hh> -// #include <mln/io/ppm/save.hh> -// #include <mln/io/plot/save.hh> - -// #include <mln/data/compute.hh> -// #include <mln/data/transform.hh> -// #include <mln/data/fill.hh> - -// #include <mln/value/int_u8.hh> -// #include <mln/value/int_u16.hh> -// #include <mln/value/int_u.hh> -// #include <mln/value/label_8.hh> -// #include <mln/value/rgb8.hh> - -// #include <mln/core/alias/neighb1d.hh> -// #include <mln/core/alias/box1d.hh> -// #include <mln/core/alias/point1d.hh> - -// #include <mln/core/routine/initialize.hh> -// #include <mln/core/contract.hh> -// #include <mln/core/grids.hh> - -// #include <mln/accu/math/sum.hh> -// #include <mln/accu/math/count.hh> -// #include <mln/accu/stat/mean.hh> -// #include <mln/accu/stat/variance.hh> - -// #include <mln/morpho/watershed/flooding.hh> -// #include <mln/morpho/elementary/dilation.hh> -// #include <mln/morpho/elementary/closing.hh> - -// #include <mln/linear/convolve.hh> -// #include <mln/linear/gaussian.hh> -// #include <mln/labeling/regional_maxima.hh> -// #include <mln/labeling/colorize.hh> -// #include <mln/labeling/mean_values.hh> - -// #include <mln/make/w_window1d.hh> - -// #include <mln/math/sqr.hh> -// #include <mln/math/pi.hh> -// #include <mln/math/abs.hh> - -// #include <mln/core/image/dmorph/image_if.hh> -// #include <mln/pw/value.hh> - -// //------------------------------------------------------------------------------ -// // TEST IN 8 BITS -// //------------------------------------------------------------------------------ - - -// void test_8bits_operator_equal() -// { -// using namespace mln::accu::stat; - -// typedef mln::value::int_u8 int_u8; -// mln::accu::stat::histo1d<int_u8> histo1; -// mln::accu::stat::histo1d<int_u8> histo2; -// int_u8 val = 3; - -// histo1.init(); -// histo2.init(); - -// mln_assertion(histo1 == histo2); - -// histo1.take(val); - -// mln_assertion(histo1 != histo2); - -// histo2.take(val); - -// mln_assertion(histo1 == histo2); - -// std::cout << "(08 bits) histo == histo : ok" << std::endl; -// } - -// void test_8bits_instantiation_without_argument() -// { -// typedef mln::value::int_u8 int_u8; -// const mln::accu::stat::histo1d<int_u8> histo; -// const mln::image1d<unsigned>& res = histo.to_result(); -// const mln::point1d& min = mln::point1d(mln_min(int_u8)); -// const mln::point1d& max = mln::point1d(mln_max(int_u8)); -// const mln::box1d& ref = mln::box1d(min, max); - -// mln_assertion(ref == res.domain()); -// mln_assertion(res.is_valid()); - -// std::cout << "(08 bits) histo<T> histo : ok" << std::endl; -// } - - -// void test_8bits_initialization() -// { -// typedef mln::value::int_u8 int_u8; -// mln::accu::stat::histo1d<int_u8> histo; -// mln::image1d<unsigned> img_res = histo.to_result(); -// mln::image1d<unsigned> img_ref; - -// mln::initialize(img_ref, img_res); -// mln::data::fill(img_ref, 0); -// histo.init(); - -// unsigned res = mln::data::compute(mln::accu::math::sum<int_u8>(), img_res); -// unsigned ref = mln::data::compute(mln::accu::math::sum<int_u8>(), img_ref); - -// mln_assertion(ref == res); - -// std::cout << "(08 bits) histo.init() : ok" << std::endl; -// } - - -// void test_8bits_take_argument() -// { -// typedef mln::value::int_u8 int_u8; -// mln::accu::stat::histo1d<int_u8> histo1; -// mln::accu::stat::histo1d<int_u8> histo2; -// int_u8 val = 3; - -// histo1.init(); -// histo2.init(); -// histo1.take(val); - -// const mln::image1d<unsigned> img1 = histo1.to_result(); -// const mln::image1d<unsigned> img2 = histo2.to_result(); - -// const unsigned res = mln::data::compute(mln::accu::math::sum<int_u8>(), img1); -// const unsigned ref = mln::data::compute(mln::accu::math::sum<int_u8>(), img2); - -// mln_assertion(ref == res-1); -// mln_assertion(1 == img1(mln::point1d(val))); - -// std::cout << "(08 bits) histo.take(argument) : ok" << std::endl; -// } - - -// void test_8bits_take_other() -// { -// typedef mln::value::int_u8 int_u8; -// mln::accu::stat::histo1d<int_u8> histo1; -// mln::accu::stat::histo1d<int_u8> histo2; -// mln::accu::stat::histo1d<int_u8> histo3; -// int_u8 val = 3; - -// histo1.init(); -// histo2.init(); -// histo3.init(); - -// histo1.take(val); -// histo1.take(val); -// histo3.take(val); -// histo2.take(val); -// histo2.take(histo3); - -// mln_assertion(histo1 == histo2); - -// std::cout << "(08 bits) histo.take(other) : ok" << std::endl; -// } - -// double count_histo(mln::image1d<unsigned> img) -// { -// mln_precondition(img.is_valid()); - -// double result = 0.0; -// mln_piter_(mln::image1d<unsigned>) p(img.domain()); - -// for_all(p) -// result += img(p); - -// return result; -// } - -// double mean_histo(mln::image1d<unsigned> img) -// { -// mln_precondition(img.is_valid()); - -// double count = 0.0; -// double sum = 0.0; -// double result = 0.0; -// mln_piter_(mln::image1d<unsigned>) p(img.domain()); - -// for_all(p) -// { -// count += img(p); -// sum += p[0] * img(p); -// } - -// result = sum / count; - -// return result; -// } - - -// double var_histo(mln::image1d<unsigned> img) -// { -// mln_precondition(img.is_valid()); - -// double count = 0.0; -// double sum = 0.0; -// double sum2 = 0.0; -// double result = 0.0; -// mln_piter_(mln::image1d<unsigned>) p(img.domain()); - -// for_all(p) -// { -// count += img(p); -// sum += p[0] * img(p); -// sum2 += p[0] * p[0] * img(p); -// } - -// result = sum2 / count - (sum / count) * (sum / count); - -// return result; -// } - -// double var_histo2(mln::image1d<unsigned> img) -// { -// mln_precondition(img.is_valid()); - -// double count = count_histo(img); -// double mean = mean_histo(img); -// double result = 0.0; -// mln_piter_(mln::image1d<unsigned>) p(img.domain()); - -// for_all(p) -// { -// result += img(p) * (p[0] - mean) * (p[0] - mean); -// } - -// result /= count; - -// return result; -// } - -// void test_8bits_integration() -// { -// typedef mln::value::int_u8 int_u8; -// typedef mln::accu::math::count<double> count; -// typedef mln::accu::math::sum<double> sum; -// typedef mln::accu::stat::mean<double> mean; -// typedef mln::accu::stat::variance<double> variance; - -// mln::image2d<int_u8> img_ref; -// mln::image1d<unsigned> img_res; - -// mln::io::pgm::load(img_ref, OLENA_IMG_PATH"/lena.pgm"); - -// const double count_ref = mln::data::compute(count(), img_ref); -// const double mean_ref = mln::data::compute(mean(), img_ref); -// const double var_ref = mln::data::compute(variance(), img_ref); - -// img_res = mln::data::compute(mln::accu::meta::stat::histo1d(), img_ref); -// // img_res = mln::data::compute(mln::accu::stat::histo1d<int_u8>(), img_ref); - -// const double count_res = count_histo(img_res); -// const double mean_res = mean_histo(img_res); -// const double var_res = var_histo(img_res); - -// mln_assertion(count_ref == count_res); -// mln_assertion( mean_ref == mean_res ); -// mln_assertion(0.0001 > abs(var_ref - var_res)); - -// std::cout << "(08 bits) test integration : ok" << std::endl; -// } - -// double gaussian_distribution(double x, double mean, double sigma) -// { -// double num = exp(-0.5*mln::math::sqr((x - mean)/sigma)); -// double denom = sigma*mln::math::sqrt(2*mln::math::pi); -// double result = num/denom; - -// return result; -// } - -// /// To calibrate with gnuplot (see gaussian.sh) -// /// square(x) = x*x -// /// gaussian(x,mean,sigma)=exp(-0.5*square((x-mean)/sigma))/(sigma*sqrt(2*pi)) -// /// plot [-20:20] gaussian(x,0,6.0) - -// void gaussian_filter(double ws[], unsigned size, double sigma) -// { -// int h = size/2; - -// for (int i = -h; i <= h; ++i) -// { -// ws[i+h] = gaussian_distribution(i, 0.0, sigma); -// } - -// double sum = 0.0; - -// for (unsigned i = 0; i < size; ++i) -// sum += ws[i]; - -// for (unsigned i = 0; i < size; ++i) -// ws[i] /= sum; -// } - -// /// The aim of this function is to rebuild an label image2d from the segmenting -// /// image of the histogram (label) and the original image (input). -// /// label_image2d / for each grey tone, associate its label. - -// mln::image2d<mln::value::label_8> -// build_8bits(const mln::image2d<mln::value::int_u8>& input, -// const mln::image1d<mln::value::label_8>& label) -// { -// mln::trace::entering("build_8bits"); -// mln_precondition(label.is_valid()); -// mln_precondition(input.is_valid()); - -// mln::image2d<mln::value::label_8> output; - -// mln::initialize(output, input); - -// mln_piter_(mln::image2d<mln::value::int_u8>) pi(input.domain()); -// mln_piter_(mln::image2d<mln::value::label_8>) po(output.domain()); - -// for_all_2(pi, po) -// { -// mln::value::int_u8 val = input(pi); -// unsigned grp = label(mln::point1d(val)); - -// output(po) = grp; -// } - -// mln::trace::exiting("build_8bits"); -// return output; -// } - - -// void test_8bits_classifying() -// { -// typedef mln::value::int_u8 int_u8; -// typedef mln::value::label_8 label_8; -// typedef mln::value::rgb8 rgb8; -// typedef mln::accu::stat::mean<double> mean; - -// mln::image2d<int_u8> img_ref; -// mln::image2d<int_u8> img_out; -// mln::image2d<rgb8> img_rgb; -// mln::image1d<unsigned> img_res; -// mln::image1d<double> img_smooth; -// mln::image1d<label_8> labels; -// label_8 nlabels; - -// //----------------------------------------------------- -// // Loading the scribo image and computing its histogram -// //----------------------------------------------------- - -// std::cout << "(08 bits) LOADING HISTOGRAM" << std::endl; - -// // mln::io::pgm::load(img_ref, OLENA_IMG_PATH"/lena.pgm"); -// mln::io::pgm::load(img_ref, SCRIBO_IMG_PATH"/mp00082c_50p_8bits.pgm"); -// img_res = mln::data::compute(mln::accu::stat::histo1d<int_u8>(), img_ref); -// mln::io::plot::save_histo_sh(img_res, "histo0_8bits.sh"); - - -// //----------------------------------------------------- -// // Smoothing the histogram with a gaussian filter -// //----------------------------------------------------- - -// std::cout << "(08 bits) SMOOTHING HISTOGRAM" << std::endl; - -// double ws[41]; -// gaussian_filter(ws, 41, 6.0); -// img_smooth = mln::linear::convolve(img_res, mln::make::w_window1d(ws)); -// mln::io::plot::save_histo_sh(img_smooth, "histo1_8bits.sh"); - - -// //----------------------------------------------------- -// // Segmenting the histogram with the watershed method -// //----------------------------------------------------- - -// std::cout << "SEGMENTING HISTOGRAM" << std::endl; - -// /* -// labels = mln::labeling::regional_maxima(img_smooth, mln::c2(), nlabels); -// std::cout << "N labels : " << nlabels << std::endl; -// mln::io::plot::save_histo_sh(labels, "histo2_8bits.sh"); -// */ - - -// labels = mln::morpho::watershed::flooding(img_smooth, mln::c2(), nlabels); -// std::cout << "N labels : " << nlabels << std::endl; -// mln::io::plot::save_histo_sh(labels, "histo2_8bits.sh"); - - -// //----------------------------------------------------- -// // Rebuilding the image with the mean of each region -// //----------------------------------------------------- - -// std::cout << "(08 bits) BUILDING OUTPUT" << std::endl; - -// mln::image2d<label_8>img_label = build_8bits(img_ref, labels); - -// std::cout << "(08 bits) COLORING OUTPUT" << std::endl; - -// img_out = mln::labeling::mean_values(img_ref, img_label, nlabels); -// img_rgb = mln::labeling::colorize(rgb8(), img_label); - -// mln::io::pgm::save(img_out, "out_8bits.pgm"); -// mln::io::ppm::save(img_rgb, "color_8bits.pgm"); - -// //labels = mln::morpho::elementary::dilation(labels, mln::c2()); -// //mln::io::plot::save_histo_sh(labels, "histo3.sh"); -// //mln::io::plot::save(labels, "labelized.data"); -// } - -// //------------------------------------------------------------------------------ -// // TEST IN 15 BITS -// //------------------------------------------------------------------------------ - -// void test_14bits_operator_equal() -// { -// using namespace mln::accu::stat; - -// typedef mln::value::int_u<14> int_u14; -// mln::accu::stat::histo1d<int_u14> histo1; -// mln::accu::stat::histo1d<int_u14> histo2; -// int_u14 val = 3; - -// histo1.init(); -// histo2.init(); - -// mln_assertion(histo1 == histo2); - -// histo1.take(val); - -// /// FIXME mln_assertion(histo1 != histo2); doesn't work!! -// mln_assertion(!(histo1 == histo2)); - -// histo2.take(val); - -// mln_assertion(histo1 == histo2); - -// std::cout << "(14 bits) histo == histo : ok" << std::endl; -// } - -// void test_14bits_instantiation_without_argument() -// { -// typedef mln::value::int_u<14> int_u14; -// const mln::accu::stat::histo1d<int_u14> histo; -// const mln::image1d<unsigned>& res = histo.to_result(); -// const mln::point1d& min =mln::point1d(mln_min(int_u14)); -// const mln::point1d& max =mln::point1d(mln_max(int_u14)); -// const mln::box1d& ref = mln::box1d(min, max); - -// mln_assertion(ref == res.domain()); -// mln_assertion(res.is_valid()); - -// std::cout << "(14 bits) histo<T> histo : ok" << std::endl; -// } - - -// void test_14bits_initialization() -// { -// typedef mln::value::int_u<14> int_u14; -// mln::accu::stat::histo1d<int_u14> histo; -// mln::image1d<unsigned> img_res = histo.to_result(); -// mln::image1d<unsigned> img_ref; - -// mln::initialize(img_ref, img_res); -// mln::data::fill(img_ref, 0); -// histo.init(); - -// unsigned res = mln::data::compute(mln::accu::math::sum<int_u14>(), img_res); -// unsigned ref = mln::data::compute(mln::accu::math::sum<int_u14>(), img_ref); - -// mln_assertion(ref == res); - -// std::cout << "(14 bits) histo.init() : ok" << std::endl; -// } - - -// void test_14bits_take_argument() -// { -// typedef mln::value::int_u<14> int_u14; -// mln::accu::stat::histo1d<int_u14> histo1; -// mln::accu::stat::histo1d<int_u14> histo2; -// int_u14 val = 3; - -// histo1.init(); -// histo2.init(); -// histo1.take(val); - -// const mln::image1d<unsigned> img1 = histo1.to_result(); -// const mln::image1d<unsigned> img2 = histo2.to_result(); - -// const unsigned res = mln::data::compute(mln::accu::math::sum<int_u14>(),img1); -// const unsigned ref = mln::data::compute(mln::accu::math::sum<int_u14>(),img2); - -// mln_assertion(ref == res-1); -// mln_assertion(1 == img1(mln::point1d(val))); - -// std::cout << "(14 bits) histo.take(argument) : ok" << std::endl; -// } - - -// void test_14bits_take_other() -// { -// typedef mln::value::int_u<14> int_u14; -// mln::accu::stat::histo1d<int_u14> histo1; -// mln::accu::stat::histo1d<int_u14> histo2; -// mln::accu::stat::histo1d<int_u14> histo3; -// int_u14 val = 3; - -// histo1.init(); -// histo2.init(); -// histo3.init(); - -// histo1.take(val); -// histo1.take(val); -// histo3.take(val); -// histo2.take(val); -// histo2.take(histo3); - -// mln_assertion(histo1 == histo2); - -// std::cout << "(14 bits) histo.take(other) : ok" << std::endl; -// } - -// void test_14bits_integration() -// { -// typedef mln::value::int_u16 int_u16; -// typedef mln::value::int_u<14> int_u14; -// typedef mln::accu::math::count<double> count; -// typedef mln::accu::math::sum<double> sum; -// typedef mln::accu::stat::mean<double> mean; -// typedef mln::accu::stat::variance<double> variance; - -// mln::image2d<int_u16> img_fst; -// mln::image2d<int_u14> img_ref; -// mln::image1d<unsigned> img_res; - -// mln::io::pgm::load(img_fst, OLENA_IMG_PATH"/lena_16.pgm"); -// img_ref = mln::data::transform(img_fst, mln::fun::v2v::int_u16_to_int_u14()); - -// const double count_ref = mln::data::compute(count(), img_ref); -// const double mean_ref = mln::data::compute(mean(), img_ref); -// const double var_ref = mln::data::compute(variance(), img_ref); - -// img_res = mln::data::compute(mln::accu::stat::histo1d<int_u14>(), img_ref); - -// const double count_res = count_histo(img_res); -// const double mean_res = mean_histo(img_res); -// const double var_res = var_histo2(img_res); - -// //std::cout << "var_res : " << var_res << std::endl; -// //std::cout << "var_ref : " << var_ref << std::endl; - -// mln_assertion(count_ref == count_res); -// mln_assertion( mean_ref == mean_res ); -// mln_assertion(0.0001 > abs(var_ref - var_res)); - -// std::cout << "(14 bits) test integration : ok" << std::endl; -// } - -// /// The aim of this function is to rebuild an label image2d from the segmenting -// /// image of the histogram (label) and the original image (input). -// /// label_image2d / for each grey tone, associate its label. - -// mln::image2d<mln::value::label_8> -// build_14bits(const mln::image2d<mln::value::int_u<14> >& input, -// const mln::image1d<mln::value::label_8>& label) -// { -// mln::trace::entering("build_14bits"); -// mln_precondition(label.is_valid()); -// mln_precondition(input.is_valid()); - -// mln::image2d<mln::value::label_8> output; - -// mln::initialize(output, input); - -// mln_piter_(mln::image2d<mln::value::int_u<14> >) pi(input.domain()); -// mln_piter_(mln::image2d<mln::value::label_8>) po(output.domain()); - -// for_all_2(pi, po) -// { -// mln::value::int_u<14> val = input(pi); -// unsigned grp = label(mln::point1d(val)); - -// output(po) = grp; -// } - -// mln::trace::exiting("build_14bits"); -// return output; -// } - - -// void test_14bits_classifying() -// { -// typedef mln::value::int_u16 int_u16; -// typedef mln::value::int_u<14> int_u14; -// typedef mln::value::label_8 label_8; -// typedef mln::value::rgb8 rgb8; -// typedef mln::accu::stat::mean<double> mean; - -// mln::image2d<int_u16> img_fst; -// mln::image2d<int_u14> img_ref; -// mln::image2d<int_u14> img_out; -// mln::image2d<rgb8> img_rgb; -// mln::image1d<unsigned> img_res; -// mln::image1d<double> img_smooth; -// mln::image1d<label_8> labels; -// label_8 nlabels; - -// //----------------------------------------------------- -// // Loading the scribo image and computing its histogram -// //----------------------------------------------------- - -// std::cout << "(14 bits) LOADING HISTOGRAM" << std::endl; - -// //mln::io::pgm::load(img_fst, OLENA_IMG_PATH"/lena_16.pgm"); -// mln::io::pgm::load(img_fst, SCRIBO_IMG_PATH"/mp00082c_50p_16bits.pgm"); -// img_ref = mln::data::transform(img_fst, mln::fun::v2v::int_u16_to_int_u14()); -// img_res = mln::data::compute(mln::accu::stat::histo1d<int_u14>(), img_ref); -// mln::io::plot::save_histo_sh(img_res, "histo0_14bits.sh"); - - -// //----------------------------------------------------- -// // Smoothing the histogram with a gaussian filter -// //----------------------------------------------------- - -// std::cout << "(14 bits) SMOOTHING HISTOGRAM" << std::endl; - -// double ws[401]; -// gaussian_filter(ws, 401, 50.0); -// img_smooth = mln::linear::convolve(img_res, mln::make::w_window1d(ws)); -// mln::io::plot::save_histo_sh(img_smooth, "histo1_14bits.sh"); - - -// //----------------------------------------------------- -// // Segmenting the histogram with the watershed method -// //----------------------------------------------------- - -// std::cout << "(14 bits) SEGMENTING HISTOGRAM" << std::endl; - -// /* -// labels = mln::labeling::regional_maxima(img_smooth, mln::c2(), nlabels); -// std::cout << "N labels : " << nlabels << std::endl; -// mln::io::plot::save_histo_sh(labels, "histo2.sh"); -// */ - - -// labels = mln::morpho::watershed::flooding(img_smooth, mln::c2(), nlabels); -// std::cout << "N labels : " << nlabels << std::endl; -// mln::io::plot::save_histo_sh(labels, "histo2_14bits.sh"); - - -// //----------------------------------------------------- -// // Rebuilding the image with the mean of each region -// //----------------------------------------------------- - -// std::cout << "(14 bits) BUILDING OUTPUT" << std::endl; - -// mln::image2d<label_8>img_label = build_14bits(img_ref, labels); - -// std::cout << "(14 bits) COLORING OUTPUT" << std::endl; - -// img_out = mln::labeling::mean_values(img_ref, img_label, nlabels); -// img_rgb = mln::labeling::colorize(rgb8(), img_label); - -// mln::io::pgm::save(img_out, "out_14bits.pgm"); -// mln::io::ppm::save(img_rgb, "color_14bits.pgm"); - -// //labels = mln::morpho::elementary::dilation(labels, mln::c2()); -// //mln::io::plot::save_histo_sh(labels, "histo3.sh"); -// //mln::io::plot::save(labels, "labelized.data"); -// } - -// int main() -// { -// test_8bits_operator_equal(); -// /* -// test_8bits_instantiation_without_argument(); -// test_8bits_initialization(); -// test_8bits_take_argument(); -// test_8bits_take_other(); -// test_8bits_operator_equal(); -// */ -// //test_8bits_integration(); - -// //test_8bits_classifying(); - -// // PROBLEME AVEC LES COORDONNEES PAR DEFAUT QUI SONT EN SIGNED SHORT -// // SEE mln/core/def/coord.hh -// /* -// test_14bits_instantiation_without_argument(); -// test_14bits_initialization(); -// test_14bits_take_argument(); -// test_14bits_take_other(); -// test_14bits_operator_equal(); -// test_14bits_integration(); -// */ -// //test_14bits_classifying(); - -// return 0; -// } -- 1.5.6.5