* green/histo1d/Makefile.am : Remove old makefile.
* green/histo1d/gaussian.sh : Remove old tools.
* green/histo1d/histo1d.hh : Remove old library code.
* green/histo1d/histo1d.cc : Remove old unitary tests.
* green/histo1d/mp00082c_50p.pgm : Remove old image.
* green/histo1d/save_sh.hh : Remove old library code.
* green/histo1d : Remove old directory.
---
trunk/milena/sandbox/ChangeLog | 12 +
trunk/milena/sandbox/green/histo1d/Makefile.am | 50 ---
trunk/milena/sandbox/green/histo1d/gaussian.sh | 12 -
trunk/milena/sandbox/green/histo1d/histo1d.cc | 407 --------------------
trunk/milena/sandbox/green/histo1d/histo1d.hh | 282 --------------
.../milena/sandbox/green/histo1d/mp00082c_50p.pgm | Bin 3663665 -> 0 bytes
trunk/milena/sandbox/green/histo1d/save_sh.hh | 200 ----------
7 files changed, 12 insertions(+), 951 deletions(-)
delete mode 100644 trunk/milena/sandbox/green/histo1d/Makefile.am
delete mode 100755 trunk/milena/sandbox/green/histo1d/gaussian.sh
delete mode 100644 trunk/milena/sandbox/green/histo1d/histo1d.cc
delete mode 100644 trunk/milena/sandbox/green/histo1d/histo1d.hh
delete mode 100644 trunk/milena/sandbox/green/histo1d/mp00082c_50p.pgm
delete mode 100644 trunk/milena/sandbox/green/histo1d/save_sh.hh
diff --git a/trunk/milena/sandbox/ChangeLog b/trunk/milena/sandbox/ChangeLog
index 4e4dd3a..4555e7f 100644
--- a/trunk/milena/sandbox/ChangeLog
+++ b/trunk/milena/sandbox/ChangeLog
@@ -1,5 +1,17 @@
2009-09-07 Yann Jacquelet <jacquelet(a)lrde.epita.fr>
+ Delete old histo1d source location.
+
+ * green/histo1d/Makefile.am : Remove old makefile.
+ * green/histo1d/gaussian.sh : Remove old tools.
+ * green/histo1d/histo1d.hh : Remove old library code.
+ * green/histo1d/histo1d.cc : Remove old unitary tests.
+ * green/histo1d/mp00082c_50p.pgm : Remove old image.
+ * green/histo1d/save_sh.hh : Remove old library code.
+ * green/histo1d : Remove old directory.
+
+2009-09-07 Yann Jacquelet <jacquelet(a)lrde.epita.fr>
+
Do some refactoring for best future olena integration.
* green/mln : New dev directory.
diff --git a/trunk/milena/sandbox/green/histo1d/Makefile.am
b/trunk/milena/sandbox/green/histo1d/Makefile.am
deleted file mode 100644
index 1834984..0000000
--- a/trunk/milena/sandbox/green/histo1d/Makefile.am
+++ /dev/null
@@ -1,50 +0,0 @@
-#
-# Generic Makefile
-#
-
-BIN_PATTERN= trunk/build/milena
-SRC_PATTERN= trunk/milena
-
-INCLUDES= -I/home/green/svn/oln/trunk/milena
-CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES)
-ECHO= echo
-RM= rm
-MKDIR= mkdir
-CP= cp
-
-ifeq ($(findstring $(BIN_PATTERN),$(PWD)), $(BIN_PATTERN))
-BIN_DIR=
-SRC_DIR= $(subst $(BIN_PATTERN),$(SRC_PATTERN), $(PWD))/
-else
-BIN_DIR= $(subst $(SRC_PATTERN),$(BIN_PATTERN), $(PWD))/
-SRC_DIR=
-endif
-
-TARGET= $(BIN_DIR)$(notdir $(PWD))
-BIN_MAKE= $(BIN_DIR)Makefile
-SRC_MAKE= $(SRC_DIR)Makefile.am
-
-
-SRC_FILES= $(wildcard $(SRC_DIR)*.cc)
-OLD_FILES= $(addsuffix ~, $(SRC_FILES))
-OBJ_FILES= $(addprefix $(BIN_DIR), $(notdir $(SRC_FILES:%.cc=%.o)))
-
-
-all: $(BIN_DIR) $(TARGET)
- @$(ECHO) "Compilation terminée"
-
-$(BIN_DIR):
- $(MKDIR) $(BIN_DIR)
- $(CP) $(SRC_MAKE) $(BIN_MAKE)
-
-$(TARGET):$(OBJ_FILES)
- $(LINK.cc) $^ $(LOADLIBES) $(LDLIBS) -o $@
-
-$(BIN_DIR)%.o:$(SRC_DIR)%.cc
- $(COMPILE.cc) $(OUTPUT_OPTION) $<
-
-clean:
- -@$(RM) $(TARGET)
- -@$(RM) $(OBJ_FILES)
- -@$(RM) $(OLD_FILES)
-
diff --git a/trunk/milena/sandbox/green/histo1d/gaussian.sh
b/trunk/milena/sandbox/green/histo1d/gaussian.sh
deleted file mode 100755
index 4d2164a..0000000
--- a/trunk/milena/sandbox/green/histo1d/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/trunk/milena/sandbox/green/histo1d/histo1d.cc
b/trunk/milena/sandbox/green/histo1d/histo1d.cc
deleted file mode 100644
index 7ceba16..0000000
--- a/trunk/milena/sandbox/green/histo1d/histo1d.cc
+++ /dev/null
@@ -1,407 +0,0 @@
-/// TEST HISTO1D
-
-#include "save_sh.hh"
-#include "histo1d.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/fill.hh>
-
-#include <mln/value/int_u8.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/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>
-
-
-
-
-void test_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);
-
- /// FIXME mln_assertion(histo1 != histo2); doesn't work!!
- mln_assertion(!(histo1 == histo2));
-
- histo2.take(val);
-
- mln_assertion(histo1 == histo2);
-
- std::cout << "histo == histo : ok" << std::endl;
-}
-
-void test_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 << "histo<T> histo : ok" << std::endl;
-}
-
-
-void test_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 << "histo.init() : ok" << std::endl;
-}
-
-
-void test_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 << "histo.take(argument) : ok" << std::endl;
-}
-
-
-void test_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 << "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;
-}
-
-void test_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, "/usr/local/share/olena/images/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::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 << "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(const mln::image2d<mln::value::int_u8>& input,
- const mln::image1d<mln::value::label_8>& label)
-{
- mln::trace::entering("build");
- 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");
- return output;
-}
-
-
-void test_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 << "LOADING HISTOGRAM" << std::endl;
-
- // mln::io::pgm::load(img_ref, "/usr/local/share/olena/images/lena.pgm");
- mln::io::pgm::load(img_ref, "mp00082c_50p.pgm");
- img_res = mln::data::compute(mln::accu::stat::histo1d<int_u8>(), img_ref);
- mln::io::plot::save_sh(img_res, "histo0.sh");
-
-
- //-----------------------------------------------------
- // Smoothing the histogram with a gaussian filter
- //-----------------------------------------------------
-
- std::cout << "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_sh(img_smooth, "histo1.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_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_sh(labels, "histo2.sh");
-
-
- //-----------------------------------------------------
- // Rebuilding the image with the mean of each region
- //-----------------------------------------------------
-
- std::cout << "BUILDING OUTPUT" << std::endl;
-
- mln::image2d<label_8>img_label = build(img_ref, labels);
-
- std::cout << "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.pgm");
- mln::io::ppm::save(img_rgb, "color.pgm");
-
- //labels = mln::morpho::elementary::dilation(labels, mln::c2());
- //mln::io::plot::save_sh(labels, "histo3.sh");
- //mln::io::plot::save(labels, "labelized.data");
-}
-
-int main()
-{
- using namespace mln;
- using namespace std;
-
- /*
- test_instantiation_without_argument();
- test_initialization();
- test_take_argument();
- test_take_other();
- test_operator_equal();
- test_integration();
- */
-
- test_classifying();
-
- return 0;
-}
diff --git a/trunk/milena/sandbox/green/histo1d/histo1d.hh
b/trunk/milena/sandbox/green/histo1d/histo1d.hh
deleted file mode 100644
index 5b845c8..0000000
--- a/trunk/milena/sandbox/green/histo1d/histo1d.hh
+++ /dev/null
@@ -1,282 +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_HISTO1D_HH
-#define MLN_ACCU_HISTO1D_HH
-
-/// \file
-///
-/// \brief Define an histogram as an accumulator which returns an image1d .
-///
-/// This implementation is the very easiest. It's the discrete one. What about
-/// a continue version ? How finding the correct bin number ?? What about the
-/// subsampling process ?? Shall we estimate the density ?? In this case, which
-/// method shall we choose, kernel version or k-neareast-neighbours ??
-///
-
-#include <iostream>
-
-#include <mln/accu/internal/base.hh>
-
-#include <mln/core/macros.hh>
-#include <mln/core/image/image1d.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
-
- } // 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 image2d<gl8> or image1d<gl16>.
- /// The histogram count the occurrence of each value.
- ///
- /// \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.
- histo1d();
- /// \}
-
-
- /// Manipulators.
- /// \{
- /// \brief Initialize the histogram with zero value.
- void init();
-
-
- /// \brief Update the histogram with the RGB pixel t.
- /// \param[in] t a RGB pixel.
- void take(const argument& t);
-
-
- /// \brief Update the histogram with an other histogram.
- /// \param[in] other the other histogram.
- void take(const histo1d<V>& other);
- /// \}
-
- /// Accessors.
- /// \{
- /// \brief Return the histogram as an image1d.
- result to_result() const;
- operator result () const;
- /// \}
-
- /// \brief Check whethever this accumulator is able to return a result.
- /// Always in a safe state and then always return true;
- bool is_valid() const;
-
- protected:
- result count_;
- };
-
- /// \brief Check wethever an histogram is equal to an other one.
- /// The comparaison states that all the bins share the same value.
- /// \param[in] histo1 the first histogram to compare with.
- /// \param[in] histo2 the second histogram.
- 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;
-
- // 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))));
-
- 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 greyscale 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");
-
- trace::exiting("mln::accu::stat::histo1d<V>::is_valid");
- return true;
- }
-
- 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_HISTO1D_HH
diff --git a/trunk/milena/sandbox/green/histo1d/mp00082c_50p.pgm
b/trunk/milena/sandbox/green/histo1d/mp00082c_50p.pgm
deleted file mode 100644
index c737c152f2b75b5dcf7cf165054010266183f2dd..0000000000000000000000000000000000000000
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diff --git a/trunk/milena/sandbox/green/histo1d/save_sh.hh
b/trunk/milena/sandbox/green/histo1d/save_sh.hh
deleted file mode 100644
index 21321e3..0000000
--- a/trunk/milena/sandbox/green/histo1d/save_sh.hh
+++ /dev/null
@@ -1,200 +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_IO_PLOT_SAVE_SH_HH
-#define MLN_IO_PLOT_SAVE_SH_HH
-
-/// \file
-///
-/// \brief Define some function to export to gnuplots format as a script shell.
-///
-/// Theses routines help to visualize data.
-///
-
-#include <fstream>
-#include <string>
-
-#include <mln/core/macros.hh>
-#include <mln/core/image/image1d.hh>
-#include <mln/core/image/image2d.hh>
-#include <mln/core/image/image3d.hh>
-
-
-namespace mln
-{
-
- namespace io
- {
-
- namespace plot
- {
-
- /// \brief Save a image1d as a gnuplot script shell.
- /// \param[in] img the 1d image which contains the data to save.
- /// \param[in] filename the name of the unix script shell.
- template <typename I>
- void save_sh(const image1d<I>& img, const std::string& filename);
-
- /// \brief Save a image2d as a gnuplot script shell.
- /// \param[in] img the 2d image which contains the data to save.
- /// \param[in] filename the name of the unix script shell.
- template <typename I>
- void save_sh(const image2d<I>& img, const std::string& filename);
-
- /// \brief Save a image3d as a gnuplot script shell.
- /// \param[in] img the 3d image which contains the data to save.
- /// \param[in] filename the name of the unix script shell.
- template <typename I>
- void save_sh(const image3d<I>& img, const std::string& filename);
-
- } // end of namespace mln::accu::stat
-
- } // end of namespace mln::accu
-
-
- namespace io
- {
-
- namespace plot
- {
-
-#ifndef MLN_INCLUDE_ONLY
-
- template <typename I>
- inline
- void save_sh(const image1d<I>& img, const std::string& filename)
- {
- trace::entering("mln::io::plot::save_sh<1d>");
- mln_precondition(img.is_valid());
-
- std::ofstream out(filename.c_str());
- mln_piter(image1d<I>) p(img.domain());
-
- out << "#!/bin/sh" << std::endl;
- out << "##########################" << std::endl;
- out << "# Two columns = (x,data) #" << std::endl;
- out << "##########################" << std::endl;
- out << std::endl;
- out << "gnuplot <<EOF" <<
std::endl;
- out << "set terminal x11 persist 1" << std::endl;
- out << "plot '-' with points pointtype 20" << std::endl;
- //out << "plot '-' with points pointtype 0" <<
std::endl;
- //out << "plot '-' with histograms" << std::endl;
- //out << "plot '-' smooth unique" << std::endl;
-
- for_all(p)
- {
- // for (unsigned i = 0; i < mln_dim(I); ++i)
- out << p[0] << " ";
-
- out << img(p) << std::endl;
- }
- out << "e" << std::endl;
- out << "EOF" << std::endl;
-
- out.close();
- trace::exiting("mln::io::plot::save_sh<1d>");
- }
-
- template <typename I>
- inline
- void save_sh(const image2d<I>& img, const std::string& filename)
- {
- trace::entering("mln::io::plot::save_sh<2d>")
- mln_precondition(img.is_valid());
-
- std::ofstream out(filename.c_str());
- mln_piter(I) p(img.domain());
-
- out << "#!/bin/sh" << std::endl;
- out << "##############################" << std::endl;
- out << "# Three columns = (x,y,data) #" << std::endl;
- out << "##############################" << std::endl;
- out << std::endl;
- out << "gnuplot <<EOF" <<
std::endl;
- out << "set terminal x11 persist 1" << std::endl;
- out << "plot '-' with points palette pointtype 0" <<
std::endl;
-
- for_all(p)
- {
- for (unsigned i = 0; i < mln_dim(I); ++i)
- out << p << " ";
-
- out << img(p) << std::endl;
- }
-
- out << "e" << std::endl;
- out << "EOF" << std::endl;
-
- out.close();
- trace::exiting("mln::io::plot::save_sh<2d>");
- }
-
- template <typename I>
- inline
- void save_sh(const image3d<I>& img, const std::string& filename)
- {
- trace::entering("mln::io::plot::save_sh<3d>")
- mln_precondition(img.is_valid());
-
- std::ofstream out(filename.c_str());
- mln_piter(I) p(img.domain());
-
- out << "#!/bin/sh" << std::endl;
- out << "####################################" << std::endl;
- out << "# Columns = (red,green,blue,count) #" << std::endl;
- out << "####################################" << std::endl;
- out << std::endl;
- out << "gnuplot <<EOF" <<
std::endl;
- out << "set terminal x11 persist 1" << std::endl;
- out << "splot '-' with points palette pointtype 0" <<
std::endl;
-
- for_all(p)
- if (0 < img(p))
- {
- out << p.row() << " ";
- out << p.col() << " ";
- out << p.sli() << " ";
- out << img(p) << std::endl;
- }
- out << "e" << std::endl;
- out << "EOF" << std::endl;
-
- out.close();
- trace::exiting("mln::io::plot::save_sh<3d>");
- }
-
-#endif // ! MLN_INCLUDE_ONLY
-
-
- } // end of namespace mln::accu::stat
-
- } // end of namespace mln::accu
-
-} // end of namespace mln
-
-#endif // ! MLN_IO_PLOT_SAVE_SH_HH
--
1.5.6.5