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June 2010
- 9 participants
- 276 discussions
last-svn-commit-137-gdb55e63 Add the binarization tool submitted to H-DIBCO 2010.
by Guillaume Lazzara 04 Nov '10
by Guillaume Lazzara 04 Nov '10
04 Nov '10
* src/Makefile.am,
* src/contest/Makefile.am,
* src/contest/hdibco-2010/Makefile.am: New.
* src/contest/hdibco-2010/sauvola_ms_hdibco.cc: New. Source code
of the submitted program for H-DIBCO 2010.
---
scribo/ChangeLog | 11 ++
scribo/src/Makefile.am | 1 +
.../{tests/toolchain => src/contest}/Makefile.am | 2 +-
.../contest/hdibco-2010}/Makefile.am | 8 +-
.../hdibco-2010/sauvola_ms_hdibco.cc} | 100 +++++++------------
5 files changed, 56 insertions(+), 66 deletions(-)
copy scribo/{tests/toolchain => src/contest}/Makefile.am (98%)
copy scribo/{tests/toolchain => src/contest/hdibco-2010}/Makefile.am (87%)
copy scribo/src/{binarization/pgm_sauvola_ms.cc => contest/hdibco-2010/sauvola_ms_hdibco.cc} (53%)
diff --git a/scribo/ChangeLog b/scribo/ChangeLog
index f2eb3c3..3888981 100644
--- a/scribo/ChangeLog
+++ b/scribo/ChangeLog
@@ -1,5 +1,16 @@
2010-06-03 Guillaume Lazzara <z(a)lrde.epita.fr>
+ Add the binarization tool submitted to H-DIBCO 2010.
+
+ * src/Makefile.am,
+ * src/contest/Makefile.am,
+ * src/contest/hdibco-2010/Makefile.am: New.
+
+ * src/contest/hdibco-2010/sauvola_ms_hdibco.cc: New. Source code
+ of the submitted program for H-DIBCO 2010.
+
+2010-06-03 Guillaume Lazzara <z(a)lrde.epita.fr>
+
Update tools in scribo/src.
* src/Makefile.am: Add postprocessing subdir.
diff --git a/scribo/src/Makefile.am b/scribo/src/Makefile.am
index b3a7859..774740a 100644
--- a/scribo/src/Makefile.am
+++ b/scribo/src/Makefile.am
@@ -22,6 +22,7 @@ include $(top_srcdir)/scribo/scribo.mk
SUBDIRS = \
binarization \
+ contest \
debug \
primitive \
filter \
diff --git a/scribo/tests/toolchain/Makefile.am b/scribo/src/contest/Makefile.am
similarity index 98%
copy from scribo/tests/toolchain/Makefile.am
copy to scribo/src/contest/Makefile.am
index 826fb86..81f314b 100644
--- a/scribo/tests/toolchain/Makefile.am
+++ b/scribo/src/contest/Makefile.am
@@ -20,4 +20,4 @@
include $(top_srcdir)/scribo/tests/tests.mk
SUBDIRS = \
- nepomuk
\ No newline at end of file
+ hdibco-2010
\ No newline at end of file
diff --git a/scribo/tests/toolchain/Makefile.am b/scribo/src/contest/hdibco-2010/Makefile.am
similarity index 87%
copy from scribo/tests/toolchain/Makefile.am
copy to scribo/src/contest/hdibco-2010/Makefile.am
index 826fb86..44add64 100644
--- a/scribo/tests/toolchain/Makefile.am
+++ b/scribo/src/contest/hdibco-2010/Makefile.am
@@ -19,5 +19,9 @@
include $(top_srcdir)/scribo/tests/tests.mk
-SUBDIRS = \
- nepomuk
\ No newline at end of file
+check_PROGRAMS = sauvola_ms_hdibco
+
+sauvola_ms_hdibco_SOURCES = sauvola_ms_hdibco.cc
+
+
+TESTS = $(check_PROGRAMS)
diff --git a/scribo/src/binarization/pgm_sauvola_ms.cc b/scribo/src/contest/hdibco-2010/sauvola_ms_hdibco.cc
similarity index 53%
copy from scribo/src/binarization/pgm_sauvola_ms.cc
copy to scribo/src/contest/hdibco-2010/sauvola_ms_hdibco.cc
index 38ff2e6..68fdaac 100644
--- a/scribo/src/binarization/pgm_sauvola_ms.cc
+++ b/scribo/src/contest/hdibco-2010/sauvola_ms_hdibco.cc
@@ -1,5 +1,4 @@
-// Copyright (C) 2009, 2010 EPITA Research and Development Laboratory
-// (LRDE)
+// Copyright (C) 2010 EPITA Research and Development Laboratory (LRDE)
//
// This file is part of Olena.
//
@@ -24,86 +23,61 @@
// exception does not however invalidate any other reasons why the
// executable file might be covered by the GNU General Public License.
+#include <cctype>
#include <mln/core/image/image2d.hh>
#include <mln/value/int_u8.hh>
#include <mln/io/pgm/load.hh>
+#include <mln/io/ppm/load.hh>
#include <mln/io/pbm/save.hh>
#include <scribo/binarization/sauvola_ms.hh>
-#include <scribo/debug/usage.hh>
-
-bool check_args(int argc, char * argv[])
-{
- if (argc < 3 || argc > 6)
- return false;
-
- if (argc >= 5)
- {
- int s = atoi(argv[4]);
-
- if (s < 1 || s > 3)
- {
- std::cout << "s must be set to 2 or 3."
- << std::endl;
- return false;
- }
- }
-
- return true;
-}
-
-
-const char *args_desc[][2] =
-{
- { "input.pgm", "A graylevel image." },
- { "out.pbm", "A binary image." },
- { "w", "Window size at scale 1. (default: 101)" },
- { "s", "First subsampling ratio (default: 3)." },
- { "k", "Sauvola's formuale parameter (default: 0.34)" },
- {0, 0}
-};
-
-
-
+#include <scribo/postprocessing/fill_object_holes.hh>
+#include <scribo/preprocessing/denoise.hh>
int main(int argc, char *argv[])
{
using namespace mln;
using namespace scribo;
- if (!check_args(argc, argv))
- return scribo::debug::usage(argv,
- "Multi-Scale Binarization of a color image based on Sauvola's algorithm.",
- "input.pgm output.pbm <w> <s> <k>",
- args_desc);
- trace::entering("main");
+ if (argc != 3)
+ {
+ std::cout << "Usage: " << argv[0] << " <input.{pgm,ppm}> <output.pbm>" << std::endl;
+ std::cout << "--------------" << std::endl;
+ std::cout << "EPITA/LRDE - 2010" << std::endl;
+ return 1;
+ }
- // Window size
- unsigned w_1;
- if (argc >= 4)
- w_1 = atoi(argv[3]); // Scale 1
- else
- w_1 = 101u;
+ std::string ext = argv[1];
+ ext = ext.substr(ext.length() - 3, 3);
+ for (unsigned i = 0; i < ext.length(); ++i)
+ ext[i] = tolower(ext[i]);
- // First subsampling scale.
- unsigned s;
- if (argc >= 5)
- s = atoi(argv[4]);
- else
- s = 3u;
+ // Load
+ image2d<value::int_u8> input;
- double k;
- if (argc >= 6)
- k = atof(argv[5]);
- else
- k = 0.34f;
+ if (ext == "pgm")
+ io::pgm::load(input, argv[1]);
+ else if (ext == "ppm")
+ {
+ image2d<value::rgb8> input_color;
+ io::ppm::load(input_color, argv[1]);
- image2d<value::int_u8> input_1;
- io::pgm::load(input_1, argv[1]);
+ // Convert to Gray level image.
+ input = data::transform(input_color, mln::fun::v2v::rgb_to_int_u<8>());
+ }
+ else
+ {
+ std::cout << "Invalid input file format! Expecting PGM or PPM images." << std::endl;
+ return 1;
+ }
+ // Binarize
image2d<bool>
- output = scribo::binarization::sauvola_ms(input_1, w_1, s, k);
+ output = scribo::binarization::sauvola_ms(input, 101, 3, 0.4);
+
+ output = scribo::preprocessing::denoise_bg(output, c8(), 4);
+ output = scribo::postprocessing::fill_object_holes(output, 0.01f);
io::pbm::save(output, argv[2]);
}
--
1.5.6.5
2
1
#210: Check ImageMagick save() routine
---------------------+------------------------------------------------------
Reporter: freling | Owner: freling
Type: defect | Status: new
Priority: minor | Milestone: Olena 1.1
Component: Milena | Version: 1.0
Keywords: io |
---------------------+------------------------------------------------------
The save() routine located in mln/io/magick/save.hh has a weird behavior.
We have to do a strange affectation (IM_value = 256 - MLN_value) but we
don't really know why.
--
Ticket URL: <https://trac.lrde.org/olena/ticket/210>
Olena <http://olena.lrde.epita.fr>
Olena, a generic and efficient C++ image processing library.
1
2
* milena/img/BUG_lean_ascii.pgm.gz: Delete this file.
---
milena/img/BUG_lean_ascii.pgm.gz | Bin 75726 -> 0 bytes
1 files changed, 0 insertions(+), 0 deletions(-)
delete mode 100644 milena/img/BUG_lean_ascii.pgm.gz
diff --git a/milena/img/BUG_lean_ascii.pgm.gz b/milena/img/BUG_lean_ascii.pgm.gz
deleted file mode 100644
index 7ba3e9d1b02e3a41704448faf72a6c7afe2e8259..0000000000000000000000000000000000000000
GIT binary patch
literal 0
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--
1.5.6.5
1
0
30 Jun '10
* green/mln/display/display_histo.cc: Add new vizualisations.
* green/mln/display/project_histo.cc: Add new color projections.
---
milena/sandbox/ChangeLog | 7 +
milena/sandbox/green/mln/display/display_histo.hh | 75 ++++--
milena/sandbox/green/mln/display/project_histo.hh | 341 +++++++++++++--------
3 files changed, 279 insertions(+), 144 deletions(-)
diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog
index 861e635..7cab790 100644
--- a/milena/sandbox/ChangeLog
+++ b/milena/sandbox/ChangeLog
@@ -77,6 +77,13 @@
2010-02-10 Yann Jacquelet <jacquelet(a)lrde.epita.fr>
+ Fix bugs in the histogram visualization tools.
+
+ * green/mln/display/display_histo.cc: Add new vizualisations.
+ * green/mln/display/project_histo.cc: Add new color projections.
+
+2010-02-10 Yann Jacquelet <jacquelet(a)lrde.epita.fr>
+
Fix last details in the image processing chain.
* green/tools/annotating/histo/histo.cc: Manage new inputs/outputs.
diff --git a/milena/sandbox/green/mln/display/display_histo.hh b/milena/sandbox/green/mln/display/display_histo.hh
index 2ba0b61..ef47182 100644
--- a/milena/sandbox/green/mln/display/display_histo.hh
+++ b/milena/sandbox/green/mln/display/display_histo.hh
@@ -29,12 +29,14 @@
# define MLN_DISPLAY_DISPLAY_HISTO_HH
# include <mln/accu/math/sum.hh>
+# include <mln/algebra/vec.hh>
# include <mln/data/stretch.hh>
# include <mln/display/project_histo.hh>
# include <mln/fun/v2v/log.hh>
# include <mln/value/int_u8.hh>
# include <mln/value/rgb8.hh>
# include <mln/value/label_8.hh>
+# include <mln/util/array.hh>
/// \file
@@ -57,19 +59,28 @@ namespace mln
image2d<value::int_u8>
display_histo3d_unsigned(const image3d<unsigned>& histo);
- image2d<value::int_u8>
- display2_histo3d_unsigned(const image3d<unsigned>& histo);
+ template <unsigned n>
+ image2d< value::int_u<n> >
+ display2_histo3d_unsigned(const image3d<unsigned>& histo,
+ const value::int_u<n> ambiguous_color);
+ template <unsigned n>
image2d<value::label_8>
display2_histo3d_unsigned(const image3d<unsigned>& histo,
- const image3d<value::label_8>& label);
+ const image3d<value::label_8>& label,
+ const value::label_8 ambiguous_label);
- image2d<value::rgb8>
- display3_histo3d_unsigned(const image3d<unsigned>& histo);
+ template <unsigned n>
+ image2d< value::rgb<n> >
+ display3_histo3d_unsigned(const image3d<unsigned>& histo,
+ const value::rgb<n> ambiguous_color);
- image2d<value::rgb8>
- display3_histo3d_unsigned(const image3d<unsigned>& histo,
- const image3d<value::label_8>& label);
+ template <unsigned n>
+ image2d< value::rgb8 >
+ display3_histo3d_unsigned(const image3d<unsigned>& histo,
+ const image3d<value::label_8>& label,
+ const util::array< algebra::vec<3,float> >& pal,
+ const value::rgb8 ambiguous_color);
#ifndef MLN_INCLUDE_ONLY
@@ -87,7 +98,7 @@ namespace mln
/// \parameter[in] histo the histogram in 3d.
/// \result return a equivalent 2d image.
-
+ // FIXME : display_shape [in int_u8]
image2d<value::int_u8>
display_histo3d_unsigned(const image3d<unsigned>& histo)
{
@@ -102,40 +113,62 @@ namespace mln
return proj_int;
}
- image2d<value::int_u8>
- display2_histo3d_unsigned(const image3d<unsigned>& histo)
+ // FIXME : display_color [in int_un]
+ template <unsigned n>
+ image2d< value::int_u<n> >
+ display2_histo3d_unsigned(const image3d<unsigned>& histo,
+ const value::int_u<n> ambiguous_color)
{
- image2d<value::int_u8> proj = project2_histo<0>(histo);
+ image2d< value::int_u<n> > proj = project2_histo<n,0>(histo,
+ ambiguous_color);
return proj;
}
+ // FIXME : display_label [in label]
+ template <unsigned n>
image2d<value::label_8>
display2_histo3d_unsigned(const image3d<unsigned>& histo,
- const image3d<value::label_8>& label)
+ const image3d<value::label_8>& label,
+ const value::label_8 ambiguous_label)
{
- image2d<value::label_8> proj = project2_histo<0>(histo, label);
+ image2d<value::label_8> proj = project2_histo<n,0>(histo,
+ label,
+ ambiguous_label);
return proj;
}
- image2d<value::rgb8>
- display3_histo3d_unsigned(const image3d<unsigned>& histo)
+ // FIXME : display_color [in color]
+ template <unsigned n>
+ image2d< value::rgb<n> >
+ display3_histo3d_unsigned(const image3d<unsigned>& histo,
+ const value::rgb<n> ambiguous_color)
{
- image2d<value::rgb8> proj = project3_histo<0>(histo);
+ image2d< value::rgb<n> > proj = project3_histo<n,0>(histo,
+ ambiguous_color);
return proj;
}
- image2d<value::rgb8>
- display3_histo3d_unsigned(const image3d<unsigned>& histo,
- const image3d<value::label_8>& label)
+
+ // FIXME : display_label [in color]
+ template <unsigned n>
+ image2d< value::rgb8 >
+ display3_histo3d_unsigned(const image3d<unsigned>& histo,
+ const image3d<value::label_8>& label,
+ const util::array<algebra::vec<3,float> >& pal,
+ const value::rgb8 ambiguous_color)
{
- image2d<value::rgb8> proj = project3_histo<0>(histo, label);
+ image2d< value::rgb8 > proj = project3_histo<n,0>(histo,
+ label,
+ pal,
+ ambiguous_color);
return proj;
}
+
#endif // ! MLN_INCLUDE_ONLY
diff --git a/milena/sandbox/green/mln/display/project_histo.hh b/milena/sandbox/green/mln/display/project_histo.hh
index d842c70..30bcd6d 100644
--- a/milena/sandbox/green/mln/display/project_histo.hh
+++ b/milena/sandbox/green/mln/display/project_histo.hh
@@ -37,12 +37,16 @@
# include <mln/accu/image/take.hh>
# include <mln/accu/image/to_result.hh>
+# include <mln/algebra/vec.hh>
+
# include <mln/opt/at.hh>
# include <mln/value/int_u8.hh>
# include <mln/value/rgb8.hh>
# include <mln/value/label_8.hh>
+# include <mln/util/array.hh>
+
/// \file
///
/// \brief Allow the visualization of 3d histogram.
@@ -60,9 +64,30 @@ namespace mln
image2d<mln_result(A)>
project_histo(const image3d<V>& histo);
- template <typename A, unsigned direction, typename V>
+ template <typename A, unsigned n, unsigned direction, typename V>
image2d<mln_result(A)>
- project2_histo(const image3d<V>& histo);
+ project2_histo(const image3d<V>& histo,
+ const value::int_u<n>& ambiguous_color);
+
+ template <unsigned n, unsigned direction, typename V>
+ image2d<V>
+ project2_histo(const image3d<unsigned>& histo,
+ const image3d<V>& label);
+
+ template <unsigned n, unsigned direction>
+ image2d< value::rgb<n> >
+ project3_histo(const image3d<unsigned>& histo,
+ const value::rgb<n> ambiguous_color);
+
+ template <unsigned n, unsigned direction>
+ image2d< value::rgb8 >
+ project3_histo(const image3d<unsigned>& histo,
+ const image3d<value::label_8>& label,
+ const util::array<algebra::vec<3, float> >& pal,
+ const value::rgb8 ambiguous_color);
+ // FIXME ==> palette must be 1d-image not an array !!
+
+
# ifndef MLN_INCLUDE_ONLY
@@ -96,80 +121,96 @@ namespace mln
return accu::image::to_result(histo_accu);
}
- template <unsigned direction>
- image2d<value::int_u8>
- project2_histo(const image3d<unsigned>& histo)
+ // 0 ==> blue
+ // 1 ==> red
+ // 2 ==> green
+
+ // mln::opt::at(histo, blue, red, green)
+
+ template <unsigned n, unsigned direction>
+ image2d< value::int_u<n> >
+ project2_histo(const image3d<unsigned>& histo,
+ const value::int_u<n>& ambiguous_color)
{
- image2d<value::int_u8> result;
+ image2d< value::int_u<n> > result;
if (0 == direction) // blue
{
- image2d<value::int_u8> arg_max(histo.ncols(), histo.nslices());
+ image2d< value::int_u<n> > arg_max(histo.nrows(), histo.ncols());
- for (unsigned j = 0; j < histo.ncols(); ++j)
- for (unsigned i = 0; i < histo.nslices(); ++i)
+ for (def::coord green = 0; green < (signed)histo.ncols(); ++green)
+ for (def::coord red = 0; red < (signed)histo.nrows(); ++red)
{
- unsigned max = 0; // minimum as possible
- signed pos = -1;
+ unsigned max = 0; // minimum as possible
+ def::coord pos = -1;
- for (unsigned k = 0; k < histo.nrows(); ++k)
+ for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue)
{
- if (max <= opt::at(histo,i,j,k))
+ if (max < opt::at(histo,blue,red,green))
{
- max = opt::at(histo,i,j,k);
- pos = k;
+ max = opt::at(histo,blue,red,green);
+ pos = blue;
}
}
- opt::at(arg_max,i,j) = pos;
+ if (-1 == pos)
+ opt::at(arg_max,red,green) = ambiguous_color;
+ else
+ opt::at(arg_max,red,green) = pos;
}
result = arg_max;
}
else if (1 == direction) // red
{
- image2d<value::int_u8> arg_max(histo.nrows(), histo.nslices());
+ image2d< value::int_u<n> > arg_max(histo.ncols(), histo.nslices());
- for (unsigned j = 0; j < histo.nslices(); ++j)
- for (unsigned i = 0; i < histo.nrows(); ++i)
+ for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue)
+ for (def::coord green = 0; green < (signed)histo.ncols(); ++green)
{
unsigned max = 0; // minimum as possible
signed pos = -1;
- for (unsigned k = 0; k < histo.ncols(); ++k)
+ for (def::coord red = 0; red < (signed)histo.nrows(); ++red)
{
- if (max <= opt::at(histo,i,j,k))
+ if (max < opt::at(histo,blue,red,green))
{
- max = opt::at(histo,i,j,k);
- pos = k;
+ max = opt::at(histo,blue,red,green);
+ pos = red;
}
}
- opt::at(arg_max,i,j) = pos;
+ if (-1 == pos)
+ opt::at(arg_max,green,blue) = ambiguous_color;
+ else
+ opt::at(arg_max,green,blue) = pos;
}
result = arg_max;
}
else // 2 == direction // green
{
- image2d<value::int_u8> arg_max(histo.nrows(), histo.ncols());
+ image2d< value::int_u<n> > arg_max(histo.nrows(), histo.nslices());
- for (unsigned j = 0; j < histo.ncols(); ++j)
- for (unsigned i = 0; i < histo.nrows(); ++i)
+ for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue)
+ for (def::coord red = 0; red < (signed)histo.nrows(); ++red)
{
unsigned max = 0; // minimum as possible
signed pos = -1;
- for (unsigned k = 0; k < histo.nslices(); ++k)
+ for (def::coord green = 0; green < (signed)histo.ncols(); ++green)
{
- if (max <= opt::at(histo,i,j,k))
+ if (max < opt::at(histo,blue,red,green))
{
- max = opt::at(histo,i,j,k);
- pos = k;
+ max = opt::at(histo,blue,red,green);
+ pos = green;
}
}
- opt::at(arg_max,i,j) = pos;
+ if (-1 == pos)
+ opt::at(arg_max,red,blue) = ambiguous_color;
+ else
+ opt::at(arg_max,red,blue) = pos;
}
result = arg_max;
@@ -178,81 +219,91 @@ namespace mln
return result;
}
- template <unsigned direction>
+ template <unsigned n, unsigned direction>
image2d<value::label_8>
project2_histo(const image3d<unsigned>& histo,
- const image3d<value::label_8>& label)
+ const image3d<value::label_8>& label,
+ const value::label_8 ambiguous_label)
{
image2d<value::label_8> result;
if (0 == direction) // blue
{
- image2d<value::label_8> arg_max(histo.ncols(), histo.nslices());
+ image2d<value::label_8> arg_max(histo.nrows(), histo.ncols());
- for (unsigned j = 0; j < histo.ncols(); ++j)
- for (unsigned i = 0; i < histo.nslices(); ++i)
+ for (def::coord green = 0; green < (signed)histo.ncols(); ++green)
+ for (def::coord red = 0; red < (signed)histo.nrows(); ++red)
{
- unsigned max = 0; // minimum as possible
- signed pos = -1;
+ unsigned max = 0; // minimum as possible
+ def::coord pos = -1;
- for (unsigned k = 0; k < histo.nrows(); ++k)
+ for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue)
{
- if (max <= opt::at(histo,i,j,k))
+ if (max < opt::at(histo,blue,red,green))
{
- max = opt::at(histo,i,j,k);
- pos = k;
+ max = opt::at(histo,blue,red,green);
+ pos = blue;
}
}
- opt::at(arg_max,i,j) = opt::at(label,i,j,pos);
+ if (-1 == pos)
+ opt::at(arg_max,red,green) = ambiguous_label;
+ else
+ opt::at(arg_max,red,green) = opt::at(label, pos, red, green);
}
result = arg_max;
}
else if (1 == direction) // red
{
- image2d<value::label_8> arg_max(histo.nrows(), histo.nslices());
+ image2d<value::label_8> arg_max(histo.ncols(), histo.nslices());
- for (unsigned j = 0; j < histo.nslices(); ++j)
- for (unsigned i = 0; i < histo.nrows(); ++i)
+ for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue)
+ for (def::coord green = 0; green < (signed)histo.ncols(); ++green)
{
unsigned max = 0; // minimum as possible
signed pos = -1;
- for (unsigned k = 0; k < histo.ncols(); ++k)
+ for (def::coord red = 0; red < (signed)histo.nrows(); ++red)
{
- if (max <= opt::at(histo,i,j,k))
+ if (max < opt::at(histo,blue,red,green))
{
- max = opt::at(histo,i,j,k);
- pos = k;
+ max = opt::at(histo,blue,red,green);
+ pos = red;
}
}
- opt::at(arg_max,i,j) = opt::at(label,pos,i,j);
+ if (-1 == pos)
+ opt::at(arg_max,green,blue) = ambiguous_label;
+ else
+ opt::at(arg_max,green,blue) = opt::at(label, blue, pos, green);
}
result = arg_max;
}
else // 2 == direction // green
{
- image2d<value::label_8> arg_max(histo.nrows(), histo.ncols());
+ image2d<value::label_8> arg_max(histo.nrows(), histo.nslices());
- for (unsigned j = 0; j < histo.ncols(); ++j)
- for (unsigned i = 0; i < histo.nrows(); ++i)
+ for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue)
+ for (def::coord red = 0; red < (signed)histo.nrows(); ++red)
{
unsigned max = 0; // minimum as possible
signed pos = -1;
- for (unsigned k = 0; k < histo.nslices(); ++k)
+ for (def::coord green = 0; green < (signed)histo.ncols(); ++green)
{
- if (max <= opt::at(histo,i,j,k))
+ if (max < opt::at(histo,blue,red,green))
{
- max = opt::at(histo,i,j,k);
- pos = k;
+ max = opt::at(histo,blue,red,green);
+ pos = green;
}
}
- opt::at(arg_max,i,j) = opt::at(label,i,pos,j);
+ if (-1 == pos)
+ opt::at(arg_max,red,blue) = ambiguous_label;
+ else
+ opt::at(arg_max,red,blue) = opt::at(label, blue, red, pos);
}
result = arg_max;
@@ -262,83 +313,117 @@ namespace mln
}
+
+
// FIXME ... determine the color of each class.
- template <unsigned direction>
- image2d<value::rgb8>
- project3_histo(const image3d<unsigned>& histo,
- const image3d<value::label_8>& label)
+ // FIXME la palette est supposée en 8 bits
+ template <unsigned n, unsigned direction>
+ image2d< value::rgb8 >
+ project3_histo(const image3d<unsigned>& histo,
+ const image3d<value::label_8>& label,
+ const util::array<algebra::vec<3,float> >& pal,
+ const value::rgb8 ambiguous_color)
{
- image2d<value::rgb8> result;
+ image2d< value::rgb8 > result;
if (0 == direction) // blue
{
- image2d<value::rgb8> arg_max(histo.ncols(), histo.nslices());
+ image2d< value::rgb8 > arg_max(histo.nrows(), histo.ncols());
- for (unsigned j = 0; j < histo.ncols(); ++j)
- for (unsigned i = 0; i < histo.nslices(); ++i)
+ for (def::coord green = 0; green < (signed)histo.ncols(); ++green)
+ for (def::coord red = 0; red < (signed)histo.nrows(); ++red)
{
- unsigned max = 0; // minimum as possible
- signed pos = -1;
+ unsigned max = 0; // minimum as possible
+ def::coord pos = -1;
- for (unsigned k = 0; k < histo.nrows(); ++k)
+ for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue)
{
- if (max <= opt::at(histo,i,j,k))
+ if (max < opt::at(histo,blue,red,green))
{
- max = opt::at(histo,i,j,k);
- pos = k;
+ max = opt::at(histo,blue,red,green);
+ pos = blue;
}
}
- opt::at(arg_max,i,j) = value::rgb8(i,j,pos);
+ if (-1 == pos)
+ opt::at(arg_max,red,green) = ambiguous_color;
+ else
+ {
+ value::int_u8 r = pal[opt::at(label,pos,red,green)][0];
+ value::int_u8 g = pal[opt::at(label,pos,red,green)][1];
+ value::int_u8 b = pal[opt::at(label,pos,red,green)][2];
+ value::rgb8 color(r,g,b);
+
+ opt::at(arg_max,red,green) = color;
+ }
}
result = arg_max;
}
else if (1 == direction) // red
{
- image2d<value::rgb8> arg_max(histo.nrows(), histo.nslices());
+ image2d< value::rgb8 > arg_max(histo.ncols(), histo.nslices());
- for (unsigned j = 0; j < histo.nslices(); ++j)
- for (unsigned i = 0; i < histo.nrows(); ++i)
+ for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue)
+ for (def::coord green = 0; green < (signed)histo.ncols(); ++green)
{
unsigned max = 0; // minimum as possible
signed pos = -1;
- for (unsigned k = 0; k < histo.ncols(); ++k)
+ for (def::coord red = 0; red < (signed)histo.nrows(); ++red)
{
- if (max <= opt::at(histo,i,j,k))
+ if (max < opt::at(histo,blue,red,green))
{
- max = opt::at(histo,i,j,k);
- pos = k;
+ max = opt::at(histo,blue,red,green);
+ pos = red;
}
}
- opt::at(arg_max,i,j) = value::rgb8(pos,i,j);
+ if (-1 == pos)
+ opt::at(arg_max,green,blue) = ambiguous_color;
+ else
+ {
+ value::int_u8 r = pal[opt::at(label,blue,pos,green)][0];
+ value::int_u8 g = pal[opt::at(label,blue,pos,green)][1];
+ value::int_u8 b = pal[opt::at(label,blue,pos,green)][2];
+ value::rgb8 color(r,g,b);
+
+ opt::at(arg_max,green,blue) = color;
+ }
}
result = arg_max;
}
else // 2 == direction // green
{
- image2d<value::rgb8> arg_max(histo.nrows(), histo.ncols());
+ image2d< value::rgb8 > arg_max(histo.nrows(), histo.nslices());
- for (unsigned j = 0; j < histo.ncols(); ++j)
- for (unsigned i = 0; i < histo.nrows(); ++i)
+ for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue)
+ for (def::coord red = 0; red < (signed)histo.nrows(); ++red)
{
unsigned max = 0; // minimum as possible
signed pos = -1;
- for (unsigned k = 0; k < histo.nslices(); ++k)
+ for (def::coord green = 0; green < (signed)histo.ncols(); ++green)
{
- if (max <= opt::at(histo,i,j,k))
+ if (max < opt::at(histo,blue,red,green))
{
- max = opt::at(histo,i,j,k);
- pos = k;
+ max = opt::at(histo,blue,red,green);
+ pos = green;
}
}
- // FIXME ... how to fix the n of rgb
- opt::at(arg_max,i,j) = value::rgb8(i,pos,j);
+ if (-1 == pos)
+ opt::at(arg_max,red,blue) = ambiguous_color;
+ else
+ {
+ value::int_u8 r = pal[opt::at(label,blue,red,pos)][0];
+ value::int_u8 g = pal[opt::at(label,blue,red,pos)][1];
+ value::int_u8 b = pal[opt::at(label,blue,red,pos)][2];
+ value::rgb8 color(r,g,b);
+
+ opt::at(arg_max,red,blue) = color;
+ }
}
result = arg_max;
@@ -347,81 +432,91 @@ namespace mln
return result;
}
- template <unsigned direction>
- image2d<value::rgb8>
- project3_histo(const image3d<unsigned>& histo)
+
+ template <unsigned n, unsigned direction>
+ image2d< value::rgb<n> >
+ project3_histo(const image3d<unsigned>& histo,
+ const value::rgb<n> ambiguous_color)
{
- image2d<value::rgb8> result;
+ image2d< value::rgb<n> > result;
if (0 == direction) // blue
{
- image2d<value::rgb8> arg_max(histo.ncols(), histo.nslices());
+ image2d< value::rgb<n> > arg_max(histo.nrows(), histo.ncols());
- for (unsigned j = 0; j < histo.ncols(); ++j)
- for (unsigned i = 0; i < histo.nslices(); ++i)
+ for (def::coord green = 0; green < (signed)histo.ncols(); ++green)
+ for (def::coord red = 0; red < (signed)histo.nrows(); ++red)
{
- unsigned max = 0; // minimum as possible
- signed pos = -1;
+ unsigned max = 0; // minimum as possible
+ def::coord pos = -1;
- for (unsigned k = 0; k < histo.nrows(); ++k)
+ for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue)
{
- if (max <= opt::at(histo,i,j,k))
+ if (max < opt::at(histo,blue,red,green))
{
- max = opt::at(histo,i,j,k);
- pos = k;
+ max = opt::at(histo,blue,red,green);
+ pos = blue;
}
}
- opt::at(arg_max,i,j) = value::rgb8(i,j,pos);
+ if (-1 == pos)
+ opt::at(arg_max,red,green) = ambiguous_color;
+ else
+ opt::at(arg_max,red,green) = value::rgb<n>(red,green,pos);
}
result = arg_max;
}
else if (1 == direction) // red
{
- image2d<value::rgb8> arg_max(histo.nrows(), histo.nslices());
+ image2d< value::rgb<n> > arg_max(histo.ncols(), histo.nslices());
- for (unsigned j = 0; j < histo.nslices(); ++j)
- for (unsigned i = 0; i < histo.nrows(); ++i)
+ for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue)
+ for (def::coord green = 0; green < (signed)histo.ncols(); ++green)
{
unsigned max = 0; // minimum as possible
signed pos = -1;
- for (unsigned k = 0; k < histo.ncols(); ++k)
+ for (def::coord red = 0; red < (signed)histo.nrows(); ++red)
{
- if (max <= opt::at(histo,i,j,k))
+ if (max < opt::at(histo,blue,red,green))
{
- max = opt::at(histo,i,j,k);
- pos = k;
+ max = opt::at(histo,blue,red,green);
+ pos = red;
}
}
- opt::at(arg_max,i,j) = value::rgb8(pos,i,j);
+ if (-1 == pos)
+ opt::at(arg_max,green,blue) = ambiguous_color;
+ else
+ opt::at(arg_max,green,blue) = value::rgb<n>(pos,green,blue);;
}
result = arg_max;
}
else // 2 == direction // green
{
- image2d<value::rgb8> arg_max(histo.nrows(), histo.ncols());
+ image2d< value::rgb<n> > arg_max(histo.nrows(), histo.nslices());
- for (unsigned j = 0; j < histo.ncols(); ++j)
- for (unsigned i = 0; i < histo.nrows(); ++i)
+ for (def::coord blue = 0; blue < (signed)histo.nslices(); ++blue)
+ for (def::coord red = 0; red < (signed)histo.nrows(); ++red)
{
unsigned max = 0; // minimum as possible
signed pos = -1;
- for (unsigned k = 0; k < histo.nslices(); ++k)
+ for (def::coord green = 0; green < (signed)histo.ncols(); ++green)
{
- if (max <= opt::at(histo,i,j,k))
+ if (max < opt::at(histo,blue,red,green))
{
- max = opt::at(histo,i,j,k);
- pos = k;
+ max = opt::at(histo,blue,red,green);
+ pos = green;
}
}
- // FIXME ... how to fix the n of rgb
- opt::at(arg_max,i,j) = value::rgb8(i,pos,j);
+ if (-1 == pos)
+ opt::at(arg_max,red,blue) = ambiguous_color;
+ else
+ opt::at(arg_max,red,blue) = value::rgb<n>(red,pos,blue);
}
result = arg_max;
--
1.5.6.5
1
0
30 Jun '10
* green/tools/annotating/histo/histo.cc: Manage new inputs/outputs.
* green/tools/annotating/opening/opening.cc: Manage new inputs/outputs.
* green/tools/annotating/iz/Makefile.am: New Makefile.
* green/tools/annotating/iz/iz.cc: New file.
* green/tools/annotating/regmax/regmax.cc: Manage new inputs/outputs.
---
milena/sandbox/ChangeLog | 10 +
.../sandbox/green/tools/annotating/histo/histo.cc | 84 +++--
.../tools/annotating/{histo => iz}/Makefile.am | 0
milena/sandbox/green/tools/annotating/iz/iz.cc | 373 ++++++++++++++++++++
.../green/tools/annotating/opening/opening.cc | 76 +++--
.../green/tools/annotating/regmax/regmax.cc | 253 ++++++++++++--
6 files changed, 714 insertions(+), 82 deletions(-)
copy milena/sandbox/green/tools/annotating/{histo => iz}/Makefile.am (100%)
create mode 100644 milena/sandbox/green/tools/annotating/iz/iz.cc
diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog
index f56ea7a..861e635 100644
--- a/milena/sandbox/ChangeLog
+++ b/milena/sandbox/ChangeLog
@@ -75,6 +75,16 @@
* bin/pgm_to_pbm.cc,
* bin/ppm_negate.cc: New.
+2010-02-10 Yann Jacquelet <jacquelet(a)lrde.epita.fr>
+
+ Fix last details in the image processing chain.
+
+ * green/tools/annotating/histo/histo.cc: Manage new inputs/outputs.
+ * green/tools/annotating/opening/opening.cc: Manage new inputs/outputs.
+ * green/tools/annotating/iz/Makefile.am: New Makefile.
+ * green/tools/annotating/iz/iz.cc: New file.
+ * green/tools/annotating/regmax/regmax.cc: Manage new inputs/outputs.
+
2010-01-05 Yann Jacquelet <jacquelet(a)lrde.epita.fr>
Extend the histogram visualization tools for new projection concept.
diff --git a/milena/sandbox/green/tools/annotating/histo/histo.cc b/milena/sandbox/green/tools/annotating/histo/histo.cc
index ab0b8af..8037e1a 100644
--- a/milena/sandbox/green/tools/annotating/histo/histo.cc
+++ b/milena/sandbox/green/tools/annotating/histo/histo.cc
@@ -16,14 +16,14 @@
#include <mln/fun/v2v/rgb8_to_rgbn.hh>
-#include <mln/io/dump/save.hh>
#include <mln/io/pbm/load.hh>
-#include <mln/io/pbm/save.hh>
-#include <mln/io/pgm/load.hh>
-#include <mln/io/pgm/save.hh>
#include <mln/io/ppm/load.hh>
+#include <mln/io/dump/save.hh>
+#include <mln/io/pgm/save.hh>
#include <mln/io/ppm/save.hh>
+#include <mln/literal/colors.hh>
+
#include <mln/opt/at.hh>
#include <mln/pw/value.hh>
@@ -33,15 +33,19 @@
template <unsigned n>
-void mk_histo(const std::string& input,
- const std::string& output,
- const std::string& histo,
- const std::string& mask)
+void mk_histo(const std::string& input, // in
+ const std::string& quant, // in
+ const std::string& histo, // out
+ const std::string& proj1, // out
+ const std::string& proj2, // out
+ const std::string& mask) // [in]
{
typedef mln::value::int_u8 t_int_u8;
+ typedef mln::value::int_u<n> t_int_un;
typedef mln::value::rgb8 t_rgb8;
typedef mln::value::rgb<n> t_rgbn;
typedef mln::image2d<t_int_u8> t_image2d_int_u8;
+ typedef mln::image2d<t_int_un> t_image2d_int_un;
typedef mln::image2d<t_rgb8> t_image2d_rgb8;
typedef mln::image2d<t_rgbn> t_image2d_rgbn;
typedef mln::image2d<bool> t_image2d_bool;
@@ -54,7 +58,9 @@ void mk_histo(const std::string& input,
t_image2d_rgbn i1_input; // input rgbn
t_image2d_bool m0_input; // mask input
t_histo3d h1_input; // histo input
- t_image2d_int_u8 p1_histo; // histo proj
+ t_image2d_int_u8 p1_histo1;// histo proj1
+ t_image2d_rgbn p1_histo2;// histo proj2
+ t_rgbn red(mln::literal::red);
mln::io::ppm::load(i0_input, input.c_str());
i1_input = mln::data::transform(i0_input, t_rgb8_to_rgbn());
@@ -72,9 +78,13 @@ void mk_histo(const std::string& input,
// END OF IMAGE PROCESSING CHAIN
// BEGIN DUMPING
- p1_histo = mln::display::display_histo3d_unsigned(h1_input);
+ p1_histo1 = mln::display::display_histo3d_unsigned(h1_input);
+ p1_histo2 = mln::display::display3_histo3d_unsigned(h1_input, red);
+
+ mln::io::ppm::save(i1_input, quant.c_str());
mln::io::dump::save(h1_input, histo.c_str());
- mln::io::pgm::save(p1_histo, output.c_str());
+ mln::io::pgm::save(p1_histo1, proj1.c_str());
+ mln::io::ppm::save(p1_histo2, proj2.c_str());
// END DUMPING
}
@@ -82,35 +92,47 @@ void mk_histo(const std::string& input,
void usage()
{
std::cout << std::endl;
- std::cout << "histo input.ppm q out.ppm histo.dump [msk.pbm]" << std::endl;
- std::cout << "where" << std::endl;
- std::cout << "input.ppm is the 8 bits color ppm image" << std::endl;
- std::cout << "q is the degree of quanification {2,3,4,5,6,7,8}" << std::endl;
- std::cout << "out.pgm is the r/g projection of the histogram" << std::endl;
- std::cout << "out.dump is the quantified color histogram" << std::endl;
- std::cout << "msk.pbm is the mask which select the pixels" << std::endl;
+ std::cout << "histo input.ppm q quant.ppm histo.dump proj.pgm"
+ << " proj.ppm [msk.pbm]" << std::endl;
+ std::cout << std::endl;
+ std::cout << "where :" << std::endl;
+ std::cout << "* [ in] input.ppm is the 8 bits color ppm image" << std::endl;
+ std::cout << "* [ in] q is the degree of quantification"
+ << " {2,3,4,5,6,7,8}" << std::endl;
+ std::cout << "* [out] quant.ppm is the q bits quantified input"
+ << " image" << std::endl;
+ std::cout << "* [out] histo.dump is the quantified color"
+ << " histogram" << std::endl;
+ std::cout << "* [out] proj.pgm is the r/g projection of the"
+ << " histogram (summing along the blue axe)" << std::endl;
+ std::cout << "* [out] proj.ppm is the r/g projection of the"
+ << " histogram with maxima plot on" << std::endl;
+ std::cout << "* [ in] msk.pbm is the mask which selects the"
+ << " pixels" << std::endl;
std::cout << std::endl;
}
int main(int argc, char* args[])
{
- if (5 == argc || 6 == argc)
+ if (7 == argc || 8 == argc)
{
- const std::string input(args[1]);
- const char q = args[2][0];
- const std::string output(args[3]);
- const std::string histo(args[4]);
- const std::string mask(6 == argc? args[5] : "");
+ const std::string input(args[1]); // in
+ const char q = args[2][0]; // in
+ const std::string quant(args[3]); // out
+ const std::string histo(args[4]); // out
+ const std::string proj1(args[5]); // out
+ const std::string proj2(args[6]); // out
+ const std::string mask(8 == argc? args[7] : ""); // [in]
switch(q)
{
- case '2': mk_histo<2>(input, output, histo, mask); break;
- case '3': mk_histo<3>(input, output, histo, mask); break;
- case '4': mk_histo<4>(input, output, histo, mask); break;
- case '5': mk_histo<5>(input, output, histo, mask); break;
- case '6': mk_histo<6>(input, output, histo, mask); break;
- case '7': mk_histo<7>(input, output, histo, mask); break;
- case '8': mk_histo<8>(input, output, histo, mask); break;
+ case '2': mk_histo<2>(input, quant, histo, proj1, proj2, mask); break;
+ case '3': mk_histo<3>(input, quant, histo, proj1, proj2, mask); break;
+ case '4': mk_histo<4>(input, quant, histo, proj1, proj2, mask); break;
+ case '5': mk_histo<5>(input, quant, histo, proj1, proj2, mask); break;
+ case '6': mk_histo<6>(input, quant, histo, proj1, proj2, mask); break;
+ case '7': mk_histo<7>(input, quant, histo, proj1, proj2, mask); break;
+ case '8': mk_histo<8>(input, quant, histo, proj1, proj2, mask); break;
default: usage(); break;
}
}
diff --git a/milena/sandbox/green/tools/annotating/histo/Makefile.am b/milena/sandbox/green/tools/annotating/iz/Makefile.am
similarity index 100%
copy from milena/sandbox/green/tools/annotating/histo/Makefile.am
copy to milena/sandbox/green/tools/annotating/iz/Makefile.am
diff --git a/milena/sandbox/green/tools/annotating/iz/iz.cc b/milena/sandbox/green/tools/annotating/iz/iz.cc
new file mode 100644
index 0000000..07e5dd9
--- /dev/null
+++ b/milena/sandbox/green/tools/annotating/iz/iz.cc
@@ -0,0 +1,373 @@
+// TOOLS ==> influence zone transformation
+
+#include <iostream>
+#include <fstream>
+#include <boost/format.hpp>
+
+#include <mln/accu/stat/histo3d_rgb.hh>
+
+#include <mln/core/macros.hh>
+#include <mln/core/alias/neighb3d.hh>
+#include <mln/core/image/image2d.hh>
+#include <mln/core/image/image3d.hh>
+
+#include <mln/data/compute.hh>
+
+#include <mln/display/display_histo.hh>
+
+#include <mln/io/dump/load.hh>
+#include <mln/io/dump/save.hh>
+#include <mln/io/ppm/load.hh>
+#include <mln/io/ppm/save.hh>
+#include <mln/io/pgm/load.hh>
+#include <mln/io/pgm/save.hh>
+
+#include <mln/literal/colors.hh>
+
+#include <mln/labeling/compute.hh>
+#include <mln/labeling/mean_values.hh>
+
+#include <mln/transform/influence_zone_geodesic.hh>
+
+#include <mln/value/int_u8.hh>
+
+template <unsigned n>
+struct t_labeling_rgbn : mln::Function_v2v< t_labeling_rgbn<n> >
+{
+ typedef mln::value::rgb<n> t_rgbn;
+ typedef mln::value::label_8 t_lbl8;
+ typedef t_rgbn argument;
+ typedef t_lbl8 result;
+ typedef mln::image3d<t_lbl8> t_label;
+
+ const t_label& _label;
+
+ t_labeling_rgbn(const t_label& label) : _label(label) {}
+
+ result operator()(const argument& c) const
+ {
+ t_lbl8 tmp = mln::opt::at(_label, c.blue(), c.red(), c.green());
+
+ return tmp;
+ }
+};
+
+void compute_stats(const mln::image2d<mln::value::rgb8>& i_input_rgb8,
+ const mln::image2d<mln::value::label_8>& l_input_lbl8,
+ const mln::image3d<unsigned>& h_histo_rgbn,
+ const mln::image3d<mln::value::label_8>& l_histo_lbl8,
+ const mln::value::label_8& n_labels,
+ const std::string& log)
+{
+ typedef mln::algebra::vec<3,float> t_vec3f;
+ typedef mln::accu::math::sum<unsigned,unsigned> t_sum;
+ typedef mln::accu::stat::mean<t_vec3f,t_vec3f,t_vec3f> t_mean;
+ typedef mln::util::array<unsigned> t_count_array;
+ typedef mln::util::array<t_vec3f> t_mean_array;
+
+ mln::util::array<float> abs((unsigned)(n_labels)+1);
+ mln::util::array<float> rel((unsigned)(n_labels)+1);
+ unsigned nb = 0;
+
+ for (unsigned i = 0; i <= n_labels; ++i)
+ {
+ abs[i] = 0.0;
+ rel[i] = 0.0;
+ }
+
+ // COMPUTE THE SUM
+ t_count_array count = mln::labeling::compute(t_sum(),
+ h_histo_rgbn,
+ l_histo_lbl8,
+ n_labels);
+
+ // COMPUTE THE TOTAL
+ for (unsigned i = 0; i <= n_labels; ++i)
+ {
+ unsigned c = count[i];
+ nb += c;
+ }
+
+ // COMPUTE THE PERCENTAGES
+ for (unsigned i = 0; i <= n_labels; ++i)
+ if (0 < count[i])
+ {
+ abs[i] = ((float)count[i] / nb)*100.0;
+ rel[i] = ((float)count[i] / (nb - count[0]))*100.0;
+ }
+
+ // COMPUTE THE MEAN
+
+ t_mean_array mean = mln::labeling::compute(t_mean(),
+ i_input_rgb8,
+ l_input_lbl8,
+ n_labels);
+
+ // CORRECT 0 LABEL STATS
+ rel[0] = 0;
+ mean[0][0] = 255.0;
+ mean[0][1] = 255.0;
+ mean[0][2] = 0.0;
+
+ // PRINT STATS
+ std::ofstream log_stream(log.c_str());
+
+ for (unsigned i = 0; i <= n_labels; ++i)
+ {
+ const t_vec3f& mean_v = mean[i];
+
+ log_stream << boost::format("%2i|"
+ "r = %6.2f, g = %6.2f, b = %6.2f |"
+ "c = %7i, %%i = %5.2f, %%c = %5.2f")
+ % i
+ % mean_v[0]
+ % mean_v[1]
+ % mean_v[2]
+ % count[i]
+ % abs[i]
+ % rel[i]
+ << std::endl;
+ }
+
+ log_stream << std::endl << std::endl;
+ log_stream.flush();
+ log_stream.close();
+}
+
+bool expect(std::istream& stream, const std::string expected)
+{
+ bool result;
+ std::string got;
+
+ stream >> got;
+
+ result = (got == expected);
+
+ return result;
+}
+
+std::istream& operator>>(std::istream& stream,
+ mln::algebra::vec<3,float>& color)
+{
+ unsigned lbl;
+
+ stream >> lbl;
+ if (expect(stream, std::string("|")) &&
+ expect(stream, std::string("r")) &&
+ expect(stream, std::string("=")))
+ {
+ stream >> color[0];
+
+ if (expect(stream, std::string(",")) &&
+ expect(stream, std::string("g")) &&
+ expect(stream, std::string("=")))
+ {
+ stream >> color[1];
+
+ if (expect(stream, std::string(",")) &&
+ expect(stream, std::string("b")) &&
+ expect(stream, std::string("=")))
+ {
+ stream >> color[2];
+ }
+ }
+ }
+
+ return stream;
+}
+
+void load(mln::util::array< mln::algebra::vec<3,float> >& m2_label,
+ const char *colormap)
+{
+ typedef mln::algebra::vec<3,float> t_vec3f;
+ typedef mln::util::array<t_vec3f> t_mean_array;
+
+ std::ifstream stream(colormap);
+ std::string buffer;
+
+ getline(stream, buffer);
+
+ while (0 < buffer.size())
+ {
+ std::stringstream line(buffer);
+ t_vec3f mean_v;
+
+ line >> mean_v;
+
+ m2_label.append(mean_v);
+
+ getline(stream, buffer);
+ }
+
+ stream.close();
+}
+
+template<unsigned n>
+void mk_iz(const std::string& labeled, // in
+ const unsigned d, // in
+ const mln::neighb3d& nbh, // in
+ const std::string& input, // in
+ const std::string& quant, // in
+ const std::string& histo, // in
+ const std::string& colormap,// in
+ const std::string& iz, // out
+ const std::string& proj, // out
+ const std::string& mean, // out
+ const std::string& stats) // [out]
+{
+ typedef mln::value::int_u8 t_int_u8;
+ typedef mln::value::label_8 t_lbl8;
+ typedef mln::value::rgb8 t_rgb8;
+ typedef mln::value::rgb<n> t_rgbn;
+ typedef mln::algebra::vec<3,float> t_v3f;
+ typedef mln::image2d<t_int_u8> t_image2d_int_u8;
+ typedef mln::image2d<t_rgb8> t_image2d_rgb8;
+ typedef mln::image2d<t_rgbn> t_image2d_rgbn;
+ typedef mln::image2d<t_lbl8> t_image2d_lbl8;
+ typedef mln::image3d<unsigned> t_histo3d;
+ typedef mln::image3d<t_lbl8> t_image3d_lbl8;
+ typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun;
+ typedef mln::accu::stat::mean<t_v3f,t_v3f,t_v3f> t_mean;
+ typedef mln::util::array<t_v3f> t_mean_array;
+
+ // START OF IMAGE PROCESSING CHAIN
+ t_image2d_rgb8 i0_input; // input img
+ t_image2d_rgbn i1_input; // quant img
+ t_histo3d h1_input; // histo input
+ t_histo3d h2_input; // histo input
+ t_image2d_int_u8 p1_histo; // histo proj
+ t_image2d_rgb8 p3_histo; // histo proj
+ t_image3d_lbl8 l2_histo; // label histo
+ t_image3d_lbl8 l3_histo; // iz label hist
+ t_mean_array m2_label; // colormap
+ t_mean_array m3_label; // colormap
+ t_image2d_lbl8 l3_input; // label input
+ t_image2d_rgb8 i3_mean; // reconstructed
+
+ t_lbl8 n_lbl; // nb labels
+ t_rgb8 red(mln::literal::red);
+
+ mln::io::dump::load(l2_histo, labeled.c_str());
+ mln::io::ppm::load(i0_input, input.c_str());
+ mln::io::ppm::load(i1_input, quant.c_str());
+ mln::io::dump::load(h1_input, histo.c_str());
+ load(m2_label, colormap.c_str());
+
+ if (0 == d)
+ {
+ l3_histo = mln::transform::influence_zone_geodesic(l2_histo, nbh);
+ }
+ else
+ {
+ l3_histo = mln::transform::influence_zone_geodesic(l2_histo, nbh, d);
+ }
+ // END OF IMAGE PROCESSING CHAIN
+
+ // BEGIN DUMPING
+
+ n_lbl = (t_lbl8)(m2_label.size()-1);
+
+ l3_input = mln::data::transform(i1_input, t_labeling_rgbn<n>(l3_histo));
+ i3_mean = mln::labeling::mean_values(i0_input, l3_input, n_lbl);
+ m3_label = mln::labeling::compute(t_mean(), i0_input, l3_input, n_lbl);
+
+ // CORRECT 0 LABEL STATS
+ m3_label[0][0] = 255.0;
+ m3_label[0][1] = 255.0;
+ m3_label[0][2] = 0.0;
+
+ p3_histo = mln::display::display3_histo3d_unsigned<n>(h1_input,
+ l3_histo,
+ m3_label,
+ red);
+ mln::io::dump::save(l3_input, iz.c_str());
+ mln::io::ppm::save(p3_histo, proj.c_str());
+ mln::io::ppm::save(i3_mean, mean.c_str());
+
+ if (0 < stats.size())
+ compute_stats(i0_input, l3_input, h1_input, l3_histo, n_lbl, stats);
+
+ // END DUMPING
+}
+
+
+void usage()
+{
+ std::cout << std::endl;
+ std::cout << "iz labeled.dump d nbh input.ppm q quant.ppm"
+ << " histo.dump colormap.txt iz.dump proj.ppm"
+ << " mean.ppm [stats.txt]" << std::endl;
+ std::cout << std::endl;
+ std::cout << "where :" << std::endl;
+ std::cout << "* [ in] labeled.dump is the labeled 3d histogram" << std::endl;
+ std::cout << "* [ in] d is the depth for the zone influence"
+ << " transformation (0 means infinite)" << std::endl;
+ std::cout << "* [ in] nbh is the 3d neighbourhood {6,18,26}" << std::endl;
+ std::cout << "* [ in] input.ppm is the 8 bits color ppm image" << std::endl;
+ std::cout << "* [ in] q is the degree of quantification"
+ << " {2,3,4,5,6,7,8}" << std::endl;
+ std::cout << "* [ in] quant.ppm is the q bits quantified input"
+ << " image" << std::endl;
+ std::cout << "* [ in] histo.dump is the quantified color"
+ << " histogram" << std::endl;
+ std::cout << "* [ in] colormap.txt is the colormap for labels" << std::endl;
+ std::cout << "* [out] iz.dump is the iz labeled 3d histogram" << std::endl;
+ std::cout << "* [out] proj.ppm is the r/g projection of the"
+ << " histogram with maxima label plot on" << std::endl;
+ std::cout << "* [out] mean.ppm is the mean reconstructed image" << std::endl;
+ std::cout << "* [out] stats.txt is the statistical label report"<< std::endl;
+ std::cout << std::endl;
+}
+
+int main(int argc, char* args[])
+{
+ if (12 == argc || 13 == argc)
+ {
+ const std::string labeled(args[1]); // in
+ const unsigned d = atoi(args[2]); // in
+ const char nbh = args[3][0]; // in
+ const std::string input(args[4]); // in
+ const char q = args[5][0]; // in
+ const std::string quant(args[6]); // in
+ const std::string histo(args[7]); // in
+ const std::string colormap(args[8]); // in
+ const std::string iz(args[9]); // out
+ const std::string proj(args[10]); // out
+ const std::string mean(args[11]); // out
+ const std::string stats(13 == argc? args[12] : ""); // [out]
+
+
+ mln::neighb3d neighbourhood;
+
+ switch (nbh)
+ {
+ case '6': neighbourhood = mln::c6(); break;
+ case '1': neighbourhood = mln::c18(); break;
+ case '2': neighbourhood = mln::c26(); break;
+ default: usage(); return 0; // force usage and quit
+ }
+
+ switch (q)
+ {
+ case '2' : mk_iz<2>(labeled,d,neighbourhood,input,quant,
+ histo,colormap,iz,proj,mean,stats);break;
+ case '3' : mk_iz<3>(labeled,d,neighbourhood,input,quant,
+ histo,colormap,iz,proj,mean,stats);break;
+ case '4' : mk_iz<4>(labeled,d,neighbourhood,input,quant,
+ histo,colormap,iz,proj,mean,stats);break;
+ case '5' : mk_iz<5>(labeled,d,neighbourhood,input,quant,
+ histo,colormap,iz,proj,mean,stats);break;
+ case '6' : mk_iz<6>(labeled,d,neighbourhood,input,quant,
+ histo,colormap,iz,proj,mean,stats);break;
+ case '7' : mk_iz<7>(labeled,d,neighbourhood,input,quant,
+ histo,colormap,iz,proj,mean,stats);break;
+ case '8' : mk_iz<8>(labeled,d,neighbourhood,input,quant,
+ histo,colormap,iz,proj,mean,stats);break;
+ default: usage(); break;
+ }
+ }
+ else
+ usage();
+
+ return 0;
+}
diff --git a/milena/sandbox/green/tools/annotating/opening/opening.cc b/milena/sandbox/green/tools/annotating/opening/opening.cc
index 3e1dbf2..cdd37fb 100644
--- a/milena/sandbox/green/tools/annotating/opening/opening.cc
+++ b/milena/sandbox/green/tools/annotating/opening/opening.cc
@@ -15,36 +15,47 @@
#include <mln/io/dump/load.hh>
#include <mln/io/dump/save.hh>
-#include <mln/io/pgm/load.hh>
+#include <mln/io/ppm/save.hh>
#include <mln/io/pgm/save.hh>
+#include <mln/literal/colors.hh>
+
#include <mln/morpho/opening/volume.hh>
+#include <mln/value/rgb.hh>
#include <mln/value/int_u8.hh>
-void mk_opening(const std::string& input,
- const unsigned min_vol,
- const std::string& output,
- const std::string& opened)
+template <unsigned n>
+void mk_opening(const std::string& histo, // in
+ const unsigned min_vol, // in
+ const std::string& opened, // out
+ const std::string& proj1, // out
+ const std::string& proj2) // out
{
typedef mln::value::int_u8 t_int_u8;
+ typedef mln::value::rgb<n> t_rgbn;
typedef mln::image2d<t_int_u8> t_image2d_int_u8;
+ typedef mln::image2d<t_rgbn> t_image2d_rgbn;
typedef mln::image3d<unsigned> t_histo3d;
typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun;
// START OF IMAGE PROCESSING CHAIN
t_histo3d h1_input; // histo input
t_histo3d h2_input; // histo input
- t_image2d_int_u8 p1_histo; // histo proj
+ t_image2d_int_u8 p1_histo1;// histo proj1
+ t_image2d_rgbn p1_histo2;// histo proj2
+ t_rgbn red(mln::literal::red);
- mln::io::dump::load(h1_input, input.c_str());
+ mln::io::dump::load(h1_input, histo.c_str());
h2_input = mln::morpho::opening::volume(h1_input, mln::c6(), min_vol);
// END OF IMAGE PROCESSING CHAIN
// BEGIN DUMPING
- p1_histo = mln::display::display_histo3d_unsigned(h2_input);
+ p1_histo1 = mln::display::display_histo3d_unsigned(h2_input);
+ p1_histo2 = mln::display::display3_histo3d_unsigned(h2_input, red);
mln::io::dump::save(h2_input, opened.c_str());
- mln::io::pgm::save(p1_histo, output.c_str());
+ mln::io::pgm::save(p1_histo1, proj1.c_str());
+ mln::io::ppm::save(p1_histo2, proj2.c_str());
// END DUMPING
}
@@ -52,25 +63,46 @@ void mk_opening(const std::string& input,
void usage()
{
std::cout << std::endl;
- std::cout << "opening input.dump v out.dump out.ppm" << std::endl;
- std::cout << "where" << std::endl;
- std::cout << "input.dump is the 3d color input histo" << std::endl;
- std::cout << "v is the minimum size of each composant" << std::endl;
- std::cout << "out.pgm is the r/g proj of the opened histogram" << std::endl;
- std::cout << "out.dump is the opened histogram" << std::endl;
+ std::cout << "opening q histo.dump v opened.dump proj.pgm"
+ << " proj.ppm" << std::endl;
+ std::cout << std::endl;
+ std::cout << "where :" << std::endl;
+ std::cout << "* [ in] q is the degree of quantification"
+ << " {2,3,4,5,6,7,8}" << std::endl;
+ std::cout << "* [ in] histo.dump is the quantified color"
+ << " histogram" << std::endl;
+ std::cout << "* [ in] v is the minimum size (in pixels) of"
+ << " each composant" << std::endl;
+ std::cout << "* [out] opened.dump is the filtered histogram" << std::endl;
+ std::cout << "* [out] proj.pgm is the r/g projection of the"
+ << " histogram (summing along the blue axe)" << std::endl;
+ std::cout << "* [out] proj.ppm is the r/g projection of the"
+ << " histogram with maxima plot on" << std::endl;
std::cout << std::endl;
}
int main(int argc, char* args[])
{
- if (5 == argc)
+ if (7 == argc)
{
- const std::string input(args[1]);
- const unsigned min_vol = atoi(args[2]);
- const std::string output(args[3]);
- const std::string opened(args[4]);
-
- mk_opening(input, min_vol, output, opened);
+ const char q = args[1][0]; // in
+ const std::string histo(args[2]); // in
+ const unsigned min_vol = atoi(args[3]); // in
+ const std::string opened(args[4]); // out
+ const std::string proj1(args[5]); // out
+ const std::string proj2(args[6]); // out
+
+ switch(q)
+ {
+ case '2': mk_opening<2>(histo, min_vol, opened, proj1, proj2); break;
+ case '3': mk_opening<3>(histo, min_vol, opened, proj1, proj2); break;
+ case '4': mk_opening<4>(histo, min_vol, opened, proj1, proj2); break;
+ case '5': mk_opening<5>(histo, min_vol, opened, proj1, proj2); break;
+ case '6': mk_opening<6>(histo, min_vol, opened, proj1, proj2); break;
+ case '7': mk_opening<7>(histo, min_vol, opened, proj1, proj2); break;
+ case '8': mk_opening<8>(histo, min_vol, opened, proj1, proj2); break;
+ default: usage(); break;
+ }
}
else
usage();
diff --git a/milena/sandbox/green/tools/annotating/regmax/regmax.cc b/milena/sandbox/green/tools/annotating/regmax/regmax.cc
index 2079bc4..0ff4d2e 100644
--- a/milena/sandbox/green/tools/annotating/regmax/regmax.cc
+++ b/milena/sandbox/green/tools/annotating/regmax/regmax.cc
@@ -1,8 +1,13 @@
// TOOLS ==> regmax on histo
#include <iostream>
+#include <fstream>
+#include <boost/format.hpp>
#include <mln/accu/stat/histo3d_rgb.hh>
+#include <mln/accu/stat/mean.hh>
+
+#include <mln/algebra/vec.hh>
#include <mln/core/macros.hh>
#include <mln/core/alias/neighb3d.hh>
@@ -18,9 +23,14 @@
#include <mln/io/dump/save.hh>
#include <mln/io/pgm/load.hh>
#include <mln/io/pgm/save.hh>
+#include <mln/io/ppm/load.hh>
#include <mln/io/ppm/save.hh>
#include <mln/labeling/regional_maxima.hh>
+#include <mln/labeling/compute.hh>
+#include <mln/labeling/mean_values.hh>
+
+#include <mln/literal/colors.hh>
#include <mln/morpho/opening/volume.hh>
@@ -28,6 +38,8 @@
#include <mln/value/int_u8.hh>
#include <mln/value/rgb8.hh>
+#include <mln/util/array.hh>
+
template <unsigned n>
struct t_labeling_rgbn : mln::Function_v2v< t_labeling_rgbn<n> >
{
@@ -49,19 +61,134 @@ struct t_labeling_rgbn : mln::Function_v2v< t_labeling_rgbn<n> >
}
};
-void mk_regmax(const std::string& input,
- const std::string& quant,
- const std::string& histo,
- const std::string& label,
- const std::string& output)
+void compute_stats(const mln::image2d<mln::value::rgb8>& i_input_rgb8,
+ const mln::image2d<mln::value::label_8>& l_input_lbl8,
+ const mln::image3d<unsigned>& h_histo_rgbn,
+ const mln::image3d<mln::value::label_8>& l_histo_lbl8,
+ const mln::value::label_8& n_labels,
+ const std::string& log)
+{
+ typedef mln::algebra::vec<3,float> t_vec3f;
+ typedef mln::accu::math::sum<unsigned,unsigned> t_sum;
+ typedef mln::accu::stat::mean<t_vec3f,t_vec3f,t_vec3f> t_mean;
+ typedef mln::util::array<unsigned> t_count_array;
+ typedef mln::util::array<t_vec3f> t_mean_array;
+
+ mln::util::array<float> abs((unsigned)(n_labels)+1);
+ mln::util::array<float> rel((unsigned)(n_labels)+1);
+ unsigned nb = 0;
+
+ for (unsigned i = 0; i <= n_labels; ++i)
+ {
+ abs[i] = 0.0;
+ rel[i] = 0.0;
+ }
+
+ // COMPUTE THE SUM
+ t_count_array count = mln::labeling::compute(t_sum(),
+ h_histo_rgbn,
+ l_histo_lbl8,
+ n_labels);
+
+ // COMPUTE THE TOTAL
+ for (unsigned i = 0; i <= n_labels; ++i)
+ {
+ unsigned c = count[i];
+ nb += c;
+ }
+
+ // COMPUTE THE PERCENTAGES
+ for (unsigned i = 0; i <= n_labels; ++i)
+ if (0 < count[i])
+ {
+ abs[i] = ((float)count[i] / nb)*100.0;
+ rel[i] = ((float)count[i] / (nb - count[0]))*100.0;
+ }
+
+ // COMPUTE THE MEAN
+
+ t_mean_array mean = mln::labeling::compute(t_mean(),
+ i_input_rgb8,
+ l_input_lbl8,
+ n_labels);
+
+ // CORRECT 0 LABEL STATS
+ rel[0] = 0;
+ mean[0][0] = 255.0;
+ mean[0][1] = 255.0;
+ mean[0][2] = 0.0;
+
+ // PRINT STATS
+ std::ofstream log_stream(log.c_str());
+
+ for (unsigned i = 0; i <= n_labels; ++i)
+ {
+ const t_vec3f& mean_v = mean[i];
+
+ log_stream << boost::format("%2i|"
+ "r = %6.2f, g = %6.2f, b = %6.2f |"
+ "c = %7i, %%i = %5.2f, %%c = %5.2f")
+ % i
+ % mean_v[0]
+ % mean_v[1]
+ % mean_v[2]
+ % count[i]
+ % abs[i]
+ % rel[i]
+ << std::endl;
+ }
+
+ log_stream << std::endl << std::endl;
+ log_stream.flush();
+ log_stream.close();
+}
+
+void save(mln::util::array< mln::algebra::vec<3,float> >& m2_label,
+ const char *colormap)
+{
+ typedef mln::algebra::vec<3,float> t_vec3f;
+ typedef mln::util::array<t_vec3f> t_mean_array;
+
+ std::ofstream stream(colormap);
+
+ for (unsigned i = 0; i < m2_label.size(); ++i)
+ {
+ const t_vec3f& mean_v = m2_label[i];
+
+ stream << boost::format("%2i | r = %6.2f, g = %6.2f, b = %6.2f")
+ % i
+ % mean_v[0]
+ % mean_v[1]
+ % mean_v[2]
+ << std::endl;
+ }
+
+ stream.flush();
+ stream.close();
+}
+
+template <unsigned n>
+void mk_regmax(const std::string& input, // in
+ const std::string& quant, // in
+ const std::string& histo, // in
+ const std::string& opened, // in
+ const mln::neighb3d& nbh, // in
+ const std::string& labeled, // out
+ const std::string& proj, // out
+ const std::string& colormap,// out
+ const std::string& mean, // out
+ const std::string& stats) // [out]
{
typedef mln::value::label_8 t_lbl8;
typedef mln::value::rgb8 t_rgb8;
- typedef mln::value::rgbn t_rgbn;
+ typedef mln::value::rgb<n> t_rgbn;
typedef mln::value::int_u8 t_int_u8;
+ typedef mln::value::int_u<n> t_int_un;
typedef mln::algebra::vec<3,float> t_v3f;
typedef mln::image2d<t_int_u8> t_image2d_int_u8;
+ typedef mln::image2d<t_int_un> t_image2d_int_un;
typedef mln::image2d<t_rgb8> t_image2d_rgb8;
+ typedef mln::image2d<t_rgbn> t_image2d_rgbn;
typedef mln::image3d<t_lbl8> t_image3d_lbl8;
typedef mln::image2d<t_lbl8> t_image2d_lbl8;
typedef mln::image3d<unsigned> t_histo3d;
@@ -71,60 +198,128 @@ void mk_regmax(const std::string& input,
t_image2d_rgb8 i0_input; // input img
t_image2d_rgbn i1_input; // quant img
+ t_histo3d h1_input; // input histo
t_histo3d h2_input; // opened histo
-// t_image2d_int_u8 p2_label; // histo proj
- t_image2d_lbl8 p2_label; // histo proj
-// t_image2d_rgb8 p2_label; // histo proj
+ t_image2d_rgb8 p2_label; // histo proj
t_image3d_lbl8 l2_histo; // label histo
- t_mean_array m2_label; // palette
+ t_image2d_lbl8 l2_input; // label input
+ t_mean_array m2_label; // colormap
+ t_image2d_rgb8 i2_mean; // reconstructed
t_lbl8 n_lbl; // nb class
+ t_rgb8 red(mln::literal::red);
+
// BEGIN LOADING
mln::io::ppm::load(i0_input, input.c_str());
mln::io::ppm::load(i1_input, quant.c_str());
- mln::io::dump::load(h2_input, histo.c_str());
+ mln::io::dump::load(h1_input, histo.c_str());
+ mln::io::dump::load(h2_input, opened.c_str());
// END LOADING
// BEGIN IMAGE PROCESSING
- l2_histo = mln::labeling::regional_maxima(h2_input, mln::c6(), n_lbl);
+ l2_histo = mln::labeling::regional_maxima(h2_input, nbh, n_lbl);
// END IMAGE PROCESSING
// BEGIN SAVING
- mln::debug::println(h2_input);
mln::io::dump::save(l2_histo, labeled.c_str());
l2_input = mln::data::transform(i1_input, t_labeling_rgbn<n>(l2_histo));
- m2_label = mln::labeling::compute(t_mean(), i0_input, l2_input, n_labels);
- p2_label =mln::display::display3_histo3d_unsigned(h2_input,l2_histo,m2_label);
+ i2_mean = mln::labeling::mean_values(i0_input, l2_input, n_lbl);
+ m2_label = mln::labeling::compute(t_mean(), i0_input, l2_input, n_lbl);
+
+ // CORRECT 0 LABEL STATS
+ m2_label[0][0] = 255.0;
+ m2_label[0][1] = 255.0;
+ m2_label[0][2] = 0.0;
+
+ p2_label =mln::display::display3_histo3d_unsigned<n>(h1_input,
+ l2_histo,
+ m2_label,
+ red);
+
+ mln::io::ppm::save(p2_label, proj.c_str());
+ save(m2_label, colormap.c_str());
+ mln::io::ppm::save(i2_mean, mean.c_str());
+
+ if (0 < stats.size())
+ compute_stats(i0_input, l2_input, h1_input, l2_histo, n_lbl, stats);
-// mln::io::pgm::save(p2_label, output.c_str());
- mln::io::ppm::save(p2_label, output.c_str());
- std::cout << "Nb classes : " << n_lbl << std::endl;
// END SAVING
}
-
void usage()
{
std::cout << std::endl;
- std::cout << "regmax input.dump out.dump out.ppm" << std::endl;
- std::cout << "where" << std::endl;
- std::cout << "input.dump is opened histo" << std::endl;
- std::cout << "out.pgm is the r/g proj of the opened histogram" << std::endl;
- std::cout << "out.dump is the labeled histogram" << std::endl;
+ std::cout << "regmax input.ppm q quant.ppm histo.dump"
+ << " opened.dump nbh labeled.dump proj.ppm"
+ << " colormap.txt mean.ppm [stats.txt]" << std::endl;
+ std::cout << std::endl;
+ std::cout << "where :" << std::endl;
+ std::cout << "* [ in] input.ppm is the 8 bits color ppm image" << std::endl;
+ std::cout << "* [ in] q is the degree of quantification"
+ << " {2,3,4,5,6,7,8}" << std::endl;
+ std::cout << "* [ in] quant.ppm is the q bits quantified input"
+ << " image" << std::endl;
+ std::cout << "* [ in] histo.dump is the quantified color"
+ << " histogram" << std::endl;
+ std::cout << "* [ in] opened.dump is the filtered histogram" << std::endl;
+ std::cout << "* [ in] nbh is the 3d neighbourhood {6,18,26}" << std::endl;
+ std::cout << "* [out] labeled.dump is the labeled 3d histogram" << std::endl;
+ std::cout << "* [out] proj.ppm is the r/g projection of the"
+ << " histogram with maxima label plot on" << std::endl;
+ std::cout << "* [out] colormap.txt is the colormap for labels" << std::endl;
+ std::cout << "* [out] mean.ppm is the mean reconstructed image" << std::endl;
+ std::cout << "* [out] stats.txt is the statistical label report"<< std::endl;
std::cout << std::endl;
}
int main(int argc, char* args[])
{
- if (4 == argc)
+ if (11 == argc || 12 == argc)
{
- const std::string input(args[1]);
- const std::string output(args[2]);
- const std::string labeled(args[3]);
+ const std::string input(args[1]); // in
+ const char q = args[2][0]; // in
+ const std::string quant(args[3]); // in
+ const std::string histo(args[4]); // in
+ const std::string opened(args[5]); // in
+ const char nbh = args[6][0]; // in
+ const std::string labeled(args[7]); // out
+ const std::string proj(args[8]); // out
+ const std::string colormap(args[9]);// out
+ const std::string mean(args[10]); // out
+ const std::string stats(12 == argc? args[11] : ""); // [out]
+
+
+ mln::neighb3d neighbourhood;
+
+ switch (nbh)
+ {
+ case '6': neighbourhood = mln::c6(); break;
+ case '1': neighbourhood = mln::c18(); break;
+ case '2': neighbourhood = mln::c26(); break;
+ default: usage(); return 0; // force usage and quit
+ }
+
+ switch (q)
+ {
- mk_regmax(input, output, labeled);
+ case '2': mk_regmax<2>(input,quant,histo,opened,neighbourhood,
+ labeled,proj,colormap,mean,stats); break;
+ case '3': mk_regmax<3>(input,quant,histo,opened,neighbourhood,
+ labeled,proj,colormap,mean,stats); break;
+ case '4': mk_regmax<4>(input,quant,histo,opened,neighbourhood,
+ labeled,proj,colormap,mean,stats); break;
+ case '5': mk_regmax<5>(input,quant,histo,opened,neighbourhood,
+ labeled,proj,colormap,mean,stats); break;
+ case '6': mk_regmax<6>(input,quant,histo,opened,neighbourhood,
+ labeled,proj,colormap,mean,stats); break;
+ case '7': mk_regmax<7>(input,quant,histo,opened,neighbourhood,
+ labeled,proj,colormap,mean,stats); break;
+ case '8': mk_regmax<8>(input,quant,histo,opened,neighbourhood,
+ labeled,proj,colormap,mean,stats); break;
+ default: usage(); break;
+ }
}
else
usage();
--
1.5.6.5
1
0
last-svn-commit-210-g17304c0 Extend the histogram visualization tools for new projection concept.
by green 30 Jun '10
by green 30 Jun '10
30 Jun '10
* green/mln/display/project_histo.hh (project2_histo): New functions
that keep the max of the histogram or the class associate to it while
projecting along a direction.
* green/mln/display/project_histo.hh (project3_histo): New functions
that keep the color of the class associate to the histogram maximum
while projecting along a direction.
* green/mln/display/display_histo.hh: New interface functions for
project2_histo and project3_histo.
---
milena/sandbox/ChangeLog | 13 +
milena/sandbox/green/mln/display/display_histo.hh | 50 +++
milena/sandbox/green/mln/display/project_histo.hh | 344 +++++++++++++++++++++
3 files changed, 407 insertions(+), 0 deletions(-)
diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog
index de56c51..f56ea7a 100644
--- a/milena/sandbox/ChangeLog
+++ b/milena/sandbox/ChangeLog
@@ -77,6 +77,19 @@
2010-01-05 Yann Jacquelet <jacquelet(a)lrde.epita.fr>
+ Extend the histogram visualization tools for new projection concept.
+
+ * green/mln/display/project_histo.hh (project2_histo): New functions
+ that keep the max of the histogram or the class associate to it while
+ projecting along a direction.
+ * green/mln/display/project_histo.hh (project3_histo): New functions
+ that keep the color of the class associate to the histogram maximum
+ while projecting along a direction.
+ * green/mln/display/display_histo.hh: New interface functions for
+ project2_histo and project3_histo.
+
+2010-01-05 Yann Jacquelet <jacquelet(a)lrde.epita.fr>
+
Build translation table between number of pixels and percentage of
pixels in image for the scribo database.
diff --git a/milena/sandbox/green/mln/display/display_histo.hh b/milena/sandbox/green/mln/display/display_histo.hh
index 1fd5da4..2ba0b61 100644
--- a/milena/sandbox/green/mln/display/display_histo.hh
+++ b/milena/sandbox/green/mln/display/display_histo.hh
@@ -33,6 +33,8 @@
# include <mln/display/project_histo.hh>
# include <mln/fun/v2v/log.hh>
# include <mln/value/int_u8.hh>
+# include <mln/value/rgb8.hh>
+# include <mln/value/label_8.hh>
/// \file
@@ -55,6 +57,20 @@ namespace mln
image2d<value::int_u8>
display_histo3d_unsigned(const image3d<unsigned>& histo);
+ image2d<value::int_u8>
+ display2_histo3d_unsigned(const image3d<unsigned>& histo);
+
+ image2d<value::label_8>
+ display2_histo3d_unsigned(const image3d<unsigned>& histo,
+ const image3d<value::label_8>& label);
+
+ image2d<value::rgb8>
+ display3_histo3d_unsigned(const image3d<unsigned>& histo);
+
+ image2d<value::rgb8>
+ display3_histo3d_unsigned(const image3d<unsigned>& histo,
+ const image3d<value::label_8>& label);
+
#ifndef MLN_INCLUDE_ONLY
/// \brief Allow the visualization of a 3d histogram by projection.
@@ -86,6 +102,40 @@ namespace mln
return proj_int;
}
+ image2d<value::int_u8>
+ display2_histo3d_unsigned(const image3d<unsigned>& histo)
+ {
+ image2d<value::int_u8> proj = project2_histo<0>(histo);
+
+ return proj;
+ }
+
+ image2d<value::label_8>
+ display2_histo3d_unsigned(const image3d<unsigned>& histo,
+ const image3d<value::label_8>& label)
+ {
+ image2d<value::label_8> proj = project2_histo<0>(histo, label);
+
+ return proj;
+ }
+
+ image2d<value::rgb8>
+ display3_histo3d_unsigned(const image3d<unsigned>& histo)
+ {
+ image2d<value::rgb8> proj = project3_histo<0>(histo);
+
+ return proj;
+ }
+
+ image2d<value::rgb8>
+ display3_histo3d_unsigned(const image3d<unsigned>& histo,
+ const image3d<value::label_8>& label)
+ {
+ image2d<value::rgb8> proj = project3_histo<0>(histo, label);
+
+ return proj;
+ }
+
#endif // ! MLN_INCLUDE_ONLY
diff --git a/milena/sandbox/green/mln/display/project_histo.hh b/milena/sandbox/green/mln/display/project_histo.hh
index f0e6858..d842c70 100644
--- a/milena/sandbox/green/mln/display/project_histo.hh
+++ b/milena/sandbox/green/mln/display/project_histo.hh
@@ -37,6 +37,12 @@
# include <mln/accu/image/take.hh>
# include <mln/accu/image/to_result.hh>
+# include <mln/opt/at.hh>
+
+# include <mln/value/int_u8.hh>
+# include <mln/value/rgb8.hh>
+# include <mln/value/label_8.hh>
+
/// \file
///
/// \brief Allow the visualization of 3d histogram.
@@ -54,6 +60,10 @@ namespace mln
image2d<mln_result(A)>
project_histo(const image3d<V>& histo);
+ template <typename A, unsigned direction, typename V>
+ image2d<mln_result(A)>
+ project2_histo(const image3d<V>& histo);
+
# ifndef MLN_INCLUDE_ONLY
/// \brief Allow the visualization of 3d histogram.
@@ -86,6 +96,340 @@ namespace mln
return accu::image::to_result(histo_accu);
}
+ template <unsigned direction>
+ image2d<value::int_u8>
+ project2_histo(const image3d<unsigned>& histo)
+ {
+ image2d<value::int_u8> result;
+
+ if (0 == direction) // blue
+ {
+ image2d<value::int_u8> arg_max(histo.ncols(), histo.nslices());
+
+ for (unsigned j = 0; j < histo.ncols(); ++j)
+ for (unsigned i = 0; i < histo.nslices(); ++i)
+ {
+ unsigned max = 0; // minimum as possible
+ signed pos = -1;
+
+ for (unsigned k = 0; k < histo.nrows(); ++k)
+ {
+ if (max <= opt::at(histo,i,j,k))
+ {
+ max = opt::at(histo,i,j,k);
+ pos = k;
+ }
+ }
+
+ opt::at(arg_max,i,j) = pos;
+ }
+
+ result = arg_max;
+ }
+ else if (1 == direction) // red
+ {
+ image2d<value::int_u8> arg_max(histo.nrows(), histo.nslices());
+
+ for (unsigned j = 0; j < histo.nslices(); ++j)
+ for (unsigned i = 0; i < histo.nrows(); ++i)
+ {
+ unsigned max = 0; // minimum as possible
+ signed pos = -1;
+
+ for (unsigned k = 0; k < histo.ncols(); ++k)
+ {
+ if (max <= opt::at(histo,i,j,k))
+ {
+ max = opt::at(histo,i,j,k);
+ pos = k;
+ }
+ }
+
+ opt::at(arg_max,i,j) = pos;
+ }
+
+ result = arg_max;
+ }
+ else // 2 == direction // green
+ {
+ image2d<value::int_u8> arg_max(histo.nrows(), histo.ncols());
+
+ for (unsigned j = 0; j < histo.ncols(); ++j)
+ for (unsigned i = 0; i < histo.nrows(); ++i)
+ {
+ unsigned max = 0; // minimum as possible
+ signed pos = -1;
+
+ for (unsigned k = 0; k < histo.nslices(); ++k)
+ {
+ if (max <= opt::at(histo,i,j,k))
+ {
+ max = opt::at(histo,i,j,k);
+ pos = k;
+ }
+ }
+
+ opt::at(arg_max,i,j) = pos;
+ }
+
+ result = arg_max;
+ }
+
+ return result;
+ }
+
+ template <unsigned direction>
+ image2d<value::label_8>
+ project2_histo(const image3d<unsigned>& histo,
+ const image3d<value::label_8>& label)
+ {
+ image2d<value::label_8> result;
+
+ if (0 == direction) // blue
+ {
+ image2d<value::label_8> arg_max(histo.ncols(), histo.nslices());
+
+ for (unsigned j = 0; j < histo.ncols(); ++j)
+ for (unsigned i = 0; i < histo.nslices(); ++i)
+ {
+ unsigned max = 0; // minimum as possible
+ signed pos = -1;
+
+ for (unsigned k = 0; k < histo.nrows(); ++k)
+ {
+ if (max <= opt::at(histo,i,j,k))
+ {
+ max = opt::at(histo,i,j,k);
+ pos = k;
+ }
+ }
+
+ opt::at(arg_max,i,j) = opt::at(label,i,j,pos);
+ }
+
+ result = arg_max;
+ }
+ else if (1 == direction) // red
+ {
+ image2d<value::label_8> arg_max(histo.nrows(), histo.nslices());
+
+ for (unsigned j = 0; j < histo.nslices(); ++j)
+ for (unsigned i = 0; i < histo.nrows(); ++i)
+ {
+ unsigned max = 0; // minimum as possible
+ signed pos = -1;
+
+ for (unsigned k = 0; k < histo.ncols(); ++k)
+ {
+ if (max <= opt::at(histo,i,j,k))
+ {
+ max = opt::at(histo,i,j,k);
+ pos = k;
+ }
+ }
+
+ opt::at(arg_max,i,j) = opt::at(label,pos,i,j);
+ }
+
+ result = arg_max;
+ }
+ else // 2 == direction // green
+ {
+ image2d<value::label_8> arg_max(histo.nrows(), histo.ncols());
+
+ for (unsigned j = 0; j < histo.ncols(); ++j)
+ for (unsigned i = 0; i < histo.nrows(); ++i)
+ {
+ unsigned max = 0; // minimum as possible
+ signed pos = -1;
+
+ for (unsigned k = 0; k < histo.nslices(); ++k)
+ {
+ if (max <= opt::at(histo,i,j,k))
+ {
+ max = opt::at(histo,i,j,k);
+ pos = k;
+ }
+ }
+
+ opt::at(arg_max,i,j) = opt::at(label,i,pos,j);
+ }
+
+ result = arg_max;
+ }
+
+ return result;
+ }
+
+
+ // FIXME ... determine the color of each class.
+ template <unsigned direction>
+ image2d<value::rgb8>
+ project3_histo(const image3d<unsigned>& histo,
+ const image3d<value::label_8>& label)
+ {
+ image2d<value::rgb8> result;
+
+ if (0 == direction) // blue
+ {
+ image2d<value::rgb8> arg_max(histo.ncols(), histo.nslices());
+
+ for (unsigned j = 0; j < histo.ncols(); ++j)
+ for (unsigned i = 0; i < histo.nslices(); ++i)
+ {
+ unsigned max = 0; // minimum as possible
+ signed pos = -1;
+
+ for (unsigned k = 0; k < histo.nrows(); ++k)
+ {
+ if (max <= opt::at(histo,i,j,k))
+ {
+ max = opt::at(histo,i,j,k);
+ pos = k;
+ }
+ }
+
+ opt::at(arg_max,i,j) = value::rgb8(i,j,pos);
+ }
+
+ result = arg_max;
+ }
+ else if (1 == direction) // red
+ {
+ image2d<value::rgb8> arg_max(histo.nrows(), histo.nslices());
+
+ for (unsigned j = 0; j < histo.nslices(); ++j)
+ for (unsigned i = 0; i < histo.nrows(); ++i)
+ {
+ unsigned max = 0; // minimum as possible
+ signed pos = -1;
+
+ for (unsigned k = 0; k < histo.ncols(); ++k)
+ {
+ if (max <= opt::at(histo,i,j,k))
+ {
+ max = opt::at(histo,i,j,k);
+ pos = k;
+ }
+ }
+
+ opt::at(arg_max,i,j) = value::rgb8(pos,i,j);
+ }
+
+ result = arg_max;
+ }
+ else // 2 == direction // green
+ {
+ image2d<value::rgb8> arg_max(histo.nrows(), histo.ncols());
+
+ for (unsigned j = 0; j < histo.ncols(); ++j)
+ for (unsigned i = 0; i < histo.nrows(); ++i)
+ {
+ unsigned max = 0; // minimum as possible
+ signed pos = -1;
+
+ for (unsigned k = 0; k < histo.nslices(); ++k)
+ {
+ if (max <= opt::at(histo,i,j,k))
+ {
+ max = opt::at(histo,i,j,k);
+ pos = k;
+ }
+ }
+
+ // FIXME ... how to fix the n of rgb
+ opt::at(arg_max,i,j) = value::rgb8(i,pos,j);
+ }
+
+ result = arg_max;
+ }
+
+ return result;
+ }
+
+ template <unsigned direction>
+ image2d<value::rgb8>
+ project3_histo(const image3d<unsigned>& histo)
+ {
+ image2d<value::rgb8> result;
+
+ if (0 == direction) // blue
+ {
+ image2d<value::rgb8> arg_max(histo.ncols(), histo.nslices());
+
+ for (unsigned j = 0; j < histo.ncols(); ++j)
+ for (unsigned i = 0; i < histo.nslices(); ++i)
+ {
+ unsigned max = 0; // minimum as possible
+ signed pos = -1;
+
+ for (unsigned k = 0; k < histo.nrows(); ++k)
+ {
+ if (max <= opt::at(histo,i,j,k))
+ {
+ max = opt::at(histo,i,j,k);
+ pos = k;
+ }
+ }
+
+ opt::at(arg_max,i,j) = value::rgb8(i,j,pos);
+ }
+
+ result = arg_max;
+ }
+ else if (1 == direction) // red
+ {
+ image2d<value::rgb8> arg_max(histo.nrows(), histo.nslices());
+
+ for (unsigned j = 0; j < histo.nslices(); ++j)
+ for (unsigned i = 0; i < histo.nrows(); ++i)
+ {
+ unsigned max = 0; // minimum as possible
+ signed pos = -1;
+
+ for (unsigned k = 0; k < histo.ncols(); ++k)
+ {
+ if (max <= opt::at(histo,i,j,k))
+ {
+ max = opt::at(histo,i,j,k);
+ pos = k;
+ }
+ }
+
+ opt::at(arg_max,i,j) = value::rgb8(pos,i,j);
+ }
+
+ result = arg_max;
+ }
+ else // 2 == direction // green
+ {
+ image2d<value::rgb8> arg_max(histo.nrows(), histo.ncols());
+
+ for (unsigned j = 0; j < histo.ncols(); ++j)
+ for (unsigned i = 0; i < histo.nrows(); ++i)
+ {
+ unsigned max = 0; // minimum as possible
+ signed pos = -1;
+
+ for (unsigned k = 0; k < histo.nslices(); ++k)
+ {
+ if (max <= opt::at(histo,i,j,k))
+ {
+ max = opt::at(histo,i,j,k);
+ pos = k;
+ }
+ }
+
+ // FIXME ... how to fix the n of rgb
+ opt::at(arg_max,i,j) = value::rgb8(i,pos,j);
+ }
+
+ result = arg_max;
+ }
+
+ return result;
+ }
+
# endif // ! MLN_INCLUDE_ONLY
--
1.5.6.5
1
0
last-svn-commit-209-g5179913 Build translation table between number of pixels and percentage of pixels in image for the scribo database.
by green 30 Jun '10
by green 30 Jun '10
30 Jun '10
* green/demo/labeling/regional_maxima/threshold.txt: New translation
table.
---
milena/sandbox/ChangeLog | 8 ++++++++
.../demo/labeling/regional_maxima/thresholds.txt | 15 +++++++++++++++
2 files changed, 23 insertions(+), 0 deletions(-)
diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog
index c8734e4..de56c51 100644
--- a/milena/sandbox/ChangeLog
+++ b/milena/sandbox/ChangeLog
@@ -77,6 +77,14 @@
2010-01-05 Yann Jacquelet <jacquelet(a)lrde.epita.fr>
+ Build translation table between number of pixels and percentage of
+ pixels in image for the scribo database.
+
+ * green/demo/labeling/regional_maxima/threshold.txt: New translation
+ table.
+
+2010-01-05 Yann Jacquelet <jacquelet(a)lrde.epita.fr>
+
Split the regional maxima binary in small atomic binaries.
* green/tools/annotating/histo: New directory.
diff --git a/milena/sandbox/green/demo/labeling/regional_maxima/thresholds.txt b/milena/sandbox/green/demo/labeling/regional_maxima/thresholds.txt
index ddf5ca7..58f3e6a 100644
--- a/milena/sandbox/green/demo/labeling/regional_maxima/thresholds.txt
+++ b/milena/sandbox/green/demo/labeling/regional_maxima/thresholds.txt
@@ -5,9 +5,24 @@ image = 1169 x 1567 = 1831823
-----------------------
0.05 % | 1000.00
1.00 % | 18318.23
+ 2.00 % | 36636.46
+ 3.00 % | 54954.69
+ 4.00 % | 73272.92
5.00 % | 91591.15
+ 6.00 % | 109909.38
+ 7.00 % | 128227.61
+ 8.00 % | 146545.84
+ 9.00 % | 164864.07
10.00 % | 183182.30
+ 11.00 % | 201500.53
+ 12.00 % | 219818.76
+ 13.00 % | 238136.99
+ 14.00 % | 256455.22
15.00 % | 274773.45
+ 16.00 % | 293091.68
+ 17.00 % | 311409.91
+ 18.00 % | 329728.14
+ 19.00 % | 348046.37
20.00 % | 366364.60
25.00 % | 457955.75
30.00 % | 549546.90
--
1.5.6.5
1
0
last-svn-commit-208-g7c558b5 Split the regional maxima binary in small atomic binaries.
by green 30 Jun '10
by green 30 Jun '10
30 Jun '10
* green/tools/annotating/histo: New directory.
* green/tools/annotating/histo/Makefile.am: New Makefile.
* green/tools/annotating/histo/histo.cc: New source file.
* green/tools/annotating/opening: New directory.
* green/tools/annotating/opening/Makefile.am: New Makefile.
* green/tools/annotating/opening/opening.cc: New source file.
* green/tools/annotating/regmax: New directory.
* green/tools/annotating/regmax/Makefile.am: New Makefile.
* green/tools/annotating/regmax/regmax.cc: New source file.
---
milena/sandbox/ChangeLog | 15 +++
.../annotating/histo}/Makefile.am | 9 +-
.../sandbox/green/tools/annotating/histo/histo.cc | 121 ++++++++++++++++++
.../annotating/opening}/Makefile.am | 9 +-
.../green/tools/annotating/opening/opening.cc | 79 ++++++++++++
.../annotating/regmax}/Makefile.am | 9 +-
.../green/tools/annotating/regmax/regmax.cc | 133 ++++++++++++++++++++
7 files changed, 360 insertions(+), 15 deletions(-)
copy milena/sandbox/green/{exp/annotating/nb_color => tools/annotating/histo}/Makefile.am (96%)
create mode 100644 milena/sandbox/green/tools/annotating/histo/histo.cc
copy milena/sandbox/green/{exp/annotating/nb_color => tools/annotating/opening}/Makefile.am (96%)
create mode 100644 milena/sandbox/green/tools/annotating/opening/opening.cc
copy milena/sandbox/green/{exp/annotating/nb_color => tools/annotating/regmax}/Makefile.am (96%)
create mode 100644 milena/sandbox/green/tools/annotating/regmax/regmax.cc
diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog
index 48cf813..c8734e4 100644
--- a/milena/sandbox/ChangeLog
+++ b/milena/sandbox/ChangeLog
@@ -75,6 +75,21 @@
* bin/pgm_to_pbm.cc,
* bin/ppm_negate.cc: New.
+2010-01-05 Yann Jacquelet <jacquelet(a)lrde.epita.fr>
+
+ Split the regional maxima binary in small atomic binaries.
+
+ * green/tools/annotating/histo: New directory.
+ * green/tools/annotating/histo/Makefile.am: New Makefile.
+ * green/tools/annotating/histo/histo.cc: New source file.
+ * green/tools/annotating/opening: New directory.
+ * green/tools/annotating/opening/Makefile.am: New Makefile.
+ * green/tools/annotating/opening/opening.cc: New source file.
+ * green/tools/annotating/regmax: New directory.
+ * green/tools/annotating/regmax/Makefile.am: New Makefile.
+ * green/tools/annotating/regmax/regmax.cc: New source file.
+
+
2009-12-23 Yann Jacquelet <jacquelet(a)lrde.epita.fr>
Write the opening volume thresholds for the scribo image mp00082c.ppm.
diff --git a/milena/sandbox/green/exp/annotating/nb_color/Makefile.am b/milena/sandbox/green/tools/annotating/histo/Makefile.am
similarity index 96%
copy from milena/sandbox/green/exp/annotating/nb_color/Makefile.am
copy to milena/sandbox/green/tools/annotating/histo/Makefile.am
index 8e204c6..8cd7511 100644
--- a/milena/sandbox/green/exp/annotating/nb_color/Makefile.am
+++ b/milena/sandbox/green/tools/annotating/histo/Makefile.am
@@ -6,7 +6,6 @@
# TOOLS #
#########
-LOADLIBES= -lboost_filesystem
INCLUDES= -I$(HOME)/svn/oln/trunk/milena/sandbox/green
#CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES)
#CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES)
@@ -16,17 +15,17 @@ RM= rm
MKDIR= mkdir -p
CP= cp
-SOURCE_PATTERN= green/exp
-BUILD__PATTERN= green/build/exp
+SOURCE_PATTERN= green/tools
+BUILD__PATTERN= green/build/tools
ifeq ($(findstring $(BUILD__PATTERN),$(PWD)), $(BUILD__PATTERN))
# Case where make is done from build directory.
SOURCE_DIR= $(subst $(BUILD__PATTERN),$(SOURCE_PATTERN),$(PWD))
-BUILD__DIR= $(PWD)/
+BUILD__DIR= $(PWD)
else
# Case where make is done from source directory.
-SOURCE_DIR= $(PWD)/
+SOURCE_DIR= $(PWD)
BUILD__DIR= $(subst $(SOURCE_PATTERN),$(BUILD__PATTERN),$(PWD))
endif
diff --git a/milena/sandbox/green/tools/annotating/histo/histo.cc b/milena/sandbox/green/tools/annotating/histo/histo.cc
new file mode 100644
index 0000000..ab0b8af
--- /dev/null
+++ b/milena/sandbox/green/tools/annotating/histo/histo.cc
@@ -0,0 +1,121 @@
+// TOOLS ==> Color histogram
+
+#include <iostream>
+
+#include <mln/accu/stat/histo3d_rgb.hh>
+
+#include <mln/core/macros.hh>
+#include <mln/core/image/image2d.hh>
+#include <mln/core/image/image3d.hh>
+#include <mln/core/image/dmorph/image_if.hh>
+
+#include <mln/data/compute.hh>
+#include <mln/data/transform.hh>
+
+#include <mln/display/display_histo.hh>
+
+#include <mln/fun/v2v/rgb8_to_rgbn.hh>
+
+#include <mln/io/dump/save.hh>
+#include <mln/io/pbm/load.hh>
+#include <mln/io/pbm/save.hh>
+#include <mln/io/pgm/load.hh>
+#include <mln/io/pgm/save.hh>
+#include <mln/io/ppm/load.hh>
+#include <mln/io/ppm/save.hh>
+
+#include <mln/opt/at.hh>
+
+#include <mln/pw/value.hh>
+
+#include <mln/value/rgb8.hh>
+#include <mln/value/rgb.hh>
+
+
+template <unsigned n>
+void mk_histo(const std::string& input,
+ const std::string& output,
+ const std::string& histo,
+ const std::string& mask)
+{
+ typedef mln::value::int_u8 t_int_u8;
+ typedef mln::value::rgb8 t_rgb8;
+ typedef mln::value::rgb<n> t_rgbn;
+ typedef mln::image2d<t_int_u8> t_image2d_int_u8;
+ typedef mln::image2d<t_rgb8> t_image2d_rgb8;
+ typedef mln::image2d<t_rgbn> t_image2d_rgbn;
+ typedef mln::image2d<bool> t_image2d_bool;
+ typedef mln::image3d<unsigned> t_histo3d;
+ typedef mln::fun::v2v::rgb8_to_rgbn<n> t_rgb8_to_rgbn;
+ typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun;
+
+ // START OF IMAGE PROCESSING CHAIN
+ t_image2d_rgb8 i0_input; // input rgb8
+ t_image2d_rgbn i1_input; // input rgbn
+ t_image2d_bool m0_input; // mask input
+ t_histo3d h1_input; // histo input
+ t_image2d_int_u8 p1_histo; // histo proj
+
+ mln::io::ppm::load(i0_input, input.c_str());
+ i1_input = mln::data::transform(i0_input, t_rgb8_to_rgbn());
+
+ if (0 < mask.size())
+ {
+ mln::io::pbm::load(m0_input, mask.c_str());
+ h1_input = mln::data::compute(t_histo3d_fun(),
+ (i1_input | mln::pw::value(m0_input)).rw());
+ }
+ else
+ {
+ h1_input = mln::data::compute(t_histo3d_fun(), i1_input);
+ }
+ // END OF IMAGE PROCESSING CHAIN
+
+ // BEGIN DUMPING
+ p1_histo = mln::display::display_histo3d_unsigned(h1_input);
+ mln::io::dump::save(h1_input, histo.c_str());
+ mln::io::pgm::save(p1_histo, output.c_str());
+ // END DUMPING
+}
+
+
+void usage()
+{
+ std::cout << std::endl;
+ std::cout << "histo input.ppm q out.ppm histo.dump [msk.pbm]" << std::endl;
+ std::cout << "where" << std::endl;
+ std::cout << "input.ppm is the 8 bits color ppm image" << std::endl;
+ std::cout << "q is the degree of quanification {2,3,4,5,6,7,8}" << std::endl;
+ std::cout << "out.pgm is the r/g projection of the histogram" << std::endl;
+ std::cout << "out.dump is the quantified color histogram" << std::endl;
+ std::cout << "msk.pbm is the mask which select the pixels" << std::endl;
+ std::cout << std::endl;
+}
+
+int main(int argc, char* args[])
+{
+ if (5 == argc || 6 == argc)
+ {
+ const std::string input(args[1]);
+ const char q = args[2][0];
+ const std::string output(args[3]);
+ const std::string histo(args[4]);
+ const std::string mask(6 == argc? args[5] : "");
+
+ switch(q)
+ {
+ case '2': mk_histo<2>(input, output, histo, mask); break;
+ case '3': mk_histo<3>(input, output, histo, mask); break;
+ case '4': mk_histo<4>(input, output, histo, mask); break;
+ case '5': mk_histo<5>(input, output, histo, mask); break;
+ case '6': mk_histo<6>(input, output, histo, mask); break;
+ case '7': mk_histo<7>(input, output, histo, mask); break;
+ case '8': mk_histo<8>(input, output, histo, mask); break;
+ default: usage(); break;
+ }
+ }
+ else
+ usage();
+
+ return 0;
+}
diff --git a/milena/sandbox/green/exp/annotating/nb_color/Makefile.am b/milena/sandbox/green/tools/annotating/opening/Makefile.am
similarity index 96%
copy from milena/sandbox/green/exp/annotating/nb_color/Makefile.am
copy to milena/sandbox/green/tools/annotating/opening/Makefile.am
index 8e204c6..8cd7511 100644
--- a/milena/sandbox/green/exp/annotating/nb_color/Makefile.am
+++ b/milena/sandbox/green/tools/annotating/opening/Makefile.am
@@ -6,7 +6,6 @@
# TOOLS #
#########
-LOADLIBES= -lboost_filesystem
INCLUDES= -I$(HOME)/svn/oln/trunk/milena/sandbox/green
#CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES)
#CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES)
@@ -16,17 +15,17 @@ RM= rm
MKDIR= mkdir -p
CP= cp
-SOURCE_PATTERN= green/exp
-BUILD__PATTERN= green/build/exp
+SOURCE_PATTERN= green/tools
+BUILD__PATTERN= green/build/tools
ifeq ($(findstring $(BUILD__PATTERN),$(PWD)), $(BUILD__PATTERN))
# Case where make is done from build directory.
SOURCE_DIR= $(subst $(BUILD__PATTERN),$(SOURCE_PATTERN),$(PWD))
-BUILD__DIR= $(PWD)/
+BUILD__DIR= $(PWD)
else
# Case where make is done from source directory.
-SOURCE_DIR= $(PWD)/
+SOURCE_DIR= $(PWD)
BUILD__DIR= $(subst $(SOURCE_PATTERN),$(BUILD__PATTERN),$(PWD))
endif
diff --git a/milena/sandbox/green/tools/annotating/opening/opening.cc b/milena/sandbox/green/tools/annotating/opening/opening.cc
new file mode 100644
index 0000000..3e1dbf2
--- /dev/null
+++ b/milena/sandbox/green/tools/annotating/opening/opening.cc
@@ -0,0 +1,79 @@
+// TOOLS ==> histogram filtering
+
+#include <iostream>
+
+#include <mln/accu/stat/histo3d_rgb.hh>
+
+#include <mln/core/macros.hh>
+#include <mln/core/alias/neighb3d.hh>
+#include <mln/core/image/image2d.hh>
+#include <mln/core/image/image3d.hh>
+
+#include <mln/data/compute.hh>
+
+#include <mln/display/display_histo.hh>
+
+#include <mln/io/dump/load.hh>
+#include <mln/io/dump/save.hh>
+#include <mln/io/pgm/load.hh>
+#include <mln/io/pgm/save.hh>
+
+#include <mln/morpho/opening/volume.hh>
+
+#include <mln/value/int_u8.hh>
+
+void mk_opening(const std::string& input,
+ const unsigned min_vol,
+ const std::string& output,
+ const std::string& opened)
+{
+ typedef mln::value::int_u8 t_int_u8;
+ typedef mln::image2d<t_int_u8> t_image2d_int_u8;
+ typedef mln::image3d<unsigned> t_histo3d;
+ typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun;
+
+ // START OF IMAGE PROCESSING CHAIN
+ t_histo3d h1_input; // histo input
+ t_histo3d h2_input; // histo input
+ t_image2d_int_u8 p1_histo; // histo proj
+
+ mln::io::dump::load(h1_input, input.c_str());
+ h2_input = mln::morpho::opening::volume(h1_input, mln::c6(), min_vol);
+ // END OF IMAGE PROCESSING CHAIN
+
+ // BEGIN DUMPING
+ p1_histo = mln::display::display_histo3d_unsigned(h2_input);
+ mln::io::dump::save(h2_input, opened.c_str());
+ mln::io::pgm::save(p1_histo, output.c_str());
+ // END DUMPING
+}
+
+
+void usage()
+{
+ std::cout << std::endl;
+ std::cout << "opening input.dump v out.dump out.ppm" << std::endl;
+ std::cout << "where" << std::endl;
+ std::cout << "input.dump is the 3d color input histo" << std::endl;
+ std::cout << "v is the minimum size of each composant" << std::endl;
+ std::cout << "out.pgm is the r/g proj of the opened histogram" << std::endl;
+ std::cout << "out.dump is the opened histogram" << std::endl;
+ std::cout << std::endl;
+}
+
+int main(int argc, char* args[])
+{
+ if (5 == argc)
+ {
+ const std::string input(args[1]);
+ const unsigned min_vol = atoi(args[2]);
+ const std::string output(args[3]);
+ const std::string opened(args[4]);
+
+ mk_opening(input, min_vol, output, opened);
+ }
+ else
+ usage();
+
+ return 0;
+}
diff --git a/milena/sandbox/green/exp/annotating/nb_color/Makefile.am b/milena/sandbox/green/tools/annotating/regmax/Makefile.am
similarity index 96%
copy from milena/sandbox/green/exp/annotating/nb_color/Makefile.am
copy to milena/sandbox/green/tools/annotating/regmax/Makefile.am
index 8e204c6..8cd7511 100644
--- a/milena/sandbox/green/exp/annotating/nb_color/Makefile.am
+++ b/milena/sandbox/green/tools/annotating/regmax/Makefile.am
@@ -6,7 +6,6 @@
# TOOLS #
#########
-LOADLIBES= -lboost_filesystem
INCLUDES= -I$(HOME)/svn/oln/trunk/milena/sandbox/green
#CXXFLAGS= -ggdb -O0 -Wall -W -pedantic -ansi -pipe $(INCLUDES)
#CXXFLAGS= -DNDEBUG -O1 -Wall -W -pedantic -ansi -pipe $(INCLUDES)
@@ -16,17 +15,17 @@ RM= rm
MKDIR= mkdir -p
CP= cp
-SOURCE_PATTERN= green/exp
-BUILD__PATTERN= green/build/exp
+SOURCE_PATTERN= green/tools
+BUILD__PATTERN= green/build/tools
ifeq ($(findstring $(BUILD__PATTERN),$(PWD)), $(BUILD__PATTERN))
# Case where make is done from build directory.
SOURCE_DIR= $(subst $(BUILD__PATTERN),$(SOURCE_PATTERN),$(PWD))
-BUILD__DIR= $(PWD)/
+BUILD__DIR= $(PWD)
else
# Case where make is done from source directory.
-SOURCE_DIR= $(PWD)/
+SOURCE_DIR= $(PWD)
BUILD__DIR= $(subst $(SOURCE_PATTERN),$(BUILD__PATTERN),$(PWD))
endif
diff --git a/milena/sandbox/green/tools/annotating/regmax/regmax.cc b/milena/sandbox/green/tools/annotating/regmax/regmax.cc
new file mode 100644
index 0000000..2079bc4
--- /dev/null
+++ b/milena/sandbox/green/tools/annotating/regmax/regmax.cc
@@ -0,0 +1,133 @@
+// TOOLS ==> regmax on histo
+
+#include <iostream>
+
+#include <mln/accu/stat/histo3d_rgb.hh>
+
+#include <mln/core/macros.hh>
+#include <mln/core/alias/neighb3d.hh>
+#include <mln/core/image/image2d.hh>
+#include <mln/core/image/image3d.hh>
+
+#include <mln/data/compute.hh>
+
+#include <mln/debug/println.hh>
+#include <mln/display/display_histo.hh>
+
+#include <mln/io/dump/load.hh>
+#include <mln/io/dump/save.hh>
+#include <mln/io/pgm/load.hh>
+#include <mln/io/pgm/save.hh>
+#include <mln/io/ppm/save.hh>
+
+#include <mln/labeling/regional_maxima.hh>
+
+#include <mln/morpho/opening/volume.hh>
+
+#include <mln/value/label_8.hh>
+#include <mln/value/int_u8.hh>
+#include <mln/value/rgb8.hh>
+
+template <unsigned n>
+struct t_labeling_rgbn : mln::Function_v2v< t_labeling_rgbn<n> >
+{
+ typedef mln::value::rgb<n> t_rgbn;
+ typedef mln::value::label_8 t_lbl8;
+ typedef t_rgbn argument;
+ typedef t_lbl8 result;
+ typedef mln::image3d<t_lbl8> t_label;
+
+ const t_label& _label;
+
+ t_labeling_rgbn(const t_label& label) : _label(label) {}
+
+ result operator()(const argument& c) const
+ {
+ t_lbl8 tmp = mln::opt::at(_label, c.blue(), c.red(), c.green());
+
+ return tmp;
+ }
+};
+
+void mk_regmax(const std::string& input,
+ const std::string& quant,
+ const std::string& histo,
+ const std::string& label,
+ const std::string& output)
+{
+ typedef mln::value::label_8 t_lbl8;
+ typedef mln::value::rgb8 t_rgb8;
+ typedef mln::value::rgbn t_rgbn;
+ typedef mln::value::int_u8 t_int_u8;
+ typedef mln::algebra::vec<3,float> t_v3f;
+ typedef mln::image2d<t_int_u8> t_image2d_int_u8;
+ typedef mln::image2d<t_rgb8> t_image2d_rgb8;
+ typedef mln::image3d<t_lbl8> t_image3d_lbl8;
+ typedef mln::image2d<t_lbl8> t_image2d_lbl8;
+ typedef mln::image3d<unsigned> t_histo3d;
+ typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun;
+ typedef mln::accu::stat::mean<t_v3f,t_v3f,t_v3f> t_mean;
+ typedef mln::util::array<t_v3f> t_mean_array;
+
+ t_image2d_rgb8 i0_input; // input img
+ t_image2d_rgbn i1_input; // quant img
+ t_histo3d h2_input; // opened histo
+// t_image2d_int_u8 p2_label; // histo proj
+ t_image2d_lbl8 p2_label; // histo proj
+// t_image2d_rgb8 p2_label; // histo proj
+ t_image3d_lbl8 l2_histo; // label histo
+ t_mean_array m2_label; // palette
+
+ t_lbl8 n_lbl; // nb class
+
+ // BEGIN LOADING
+ mln::io::ppm::load(i0_input, input.c_str());
+ mln::io::ppm::load(i1_input, quant.c_str());
+ mln::io::dump::load(h2_input, histo.c_str());
+ // END LOADING
+
+ // BEGIN IMAGE PROCESSING
+ l2_histo = mln::labeling::regional_maxima(h2_input, mln::c6(), n_lbl);
+ // END IMAGE PROCESSING
+
+ // BEGIN SAVING
+ mln::debug::println(h2_input);
+ mln::io::dump::save(l2_histo, labeled.c_str());
+
+ l2_input = mln::data::transform(i1_input, t_labeling_rgbn<n>(l2_histo));
+ m2_label = mln::labeling::compute(t_mean(), i0_input, l2_input, n_labels);
+ p2_label =mln::display::display3_histo3d_unsigned(h2_input,l2_histo,m2_label);
+
+// mln::io::pgm::save(p2_label, output.c_str());
+ mln::io::ppm::save(p2_label, output.c_str());
+ std::cout << "Nb classes : " << n_lbl << std::endl;
+ // END SAVING
+}
+
+
+void usage()
+{
+ std::cout << std::endl;
+ std::cout << "regmax input.dump out.dump out.ppm" << std::endl;
+ std::cout << "where" << std::endl;
+ std::cout << "input.dump is opened histo" << std::endl;
+ std::cout << "out.pgm is the r/g proj of the opened histogram" << std::endl;
+ std::cout << "out.dump is the labeled histogram" << std::endl;
+ std::cout << std::endl;
+}
+
+int main(int argc, char* args[])
+{
+ if (4 == argc)
+ {
+ const std::string input(args[1]);
+ const std::string output(args[2]);
+ const std::string labeled(args[3]);
+
+ mk_regmax(input, output, labeled);
+ }
+ else
+ usage();
+
+ return 0;
+}
--
1.5.6.5
1
0
last-svn-commit-207-gfe92959 Write the opening volume thresholds for the scribo image mp00082c.ppm.
by green 30 Jun '10
by green 30 Jun '10
30 Jun '10
* green/demo/labeling/regional_maxima/thresholds.txt: New documentation.
---
milena/sandbox/ChangeLog | 6 ++++
.../demo/labeling/regional_maxima/thresholds.txt | 27 ++++++++++++++++++++
2 files changed, 33 insertions(+), 0 deletions(-)
create mode 100644 milena/sandbox/green/demo/labeling/regional_maxima/thresholds.txt
diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog
index 11565c5..48cf813 100644
--- a/milena/sandbox/ChangeLog
+++ b/milena/sandbox/ChangeLog
@@ -77,6 +77,12 @@
2009-12-23 Yann Jacquelet <jacquelet(a)lrde.epita.fr>
+ Write the opening volume thresholds for the scribo image mp00082c.ppm.
+
+ * green/demo/labeling/regional_maxima/thresholds.txt: New documentation.
+
+2009-12-23 Yann Jacquelet <jacquelet(a)lrde.epita.fr>
+
Experiment various quantifications on regional maxima labeling.
* green/doc/regional_maxima/cmp_quant/h0_input.pgm.gz: New histogram.
diff --git a/milena/sandbox/green/demo/labeling/regional_maxima/thresholds.txt b/milena/sandbox/green/demo/labeling/regional_maxima/thresholds.txt
new file mode 100644
index 0000000..ddf5ca7
--- /dev/null
+++ b/milena/sandbox/green/demo/labeling/regional_maxima/thresholds.txt
@@ -0,0 +1,27 @@
+image = 1169 x 1567 = 1831823
+
+
+% image | min_volume
+-----------------------
+ 0.05 % | 1000.00
+ 1.00 % | 18318.23
+ 5.00 % | 91591.15
+ 10.00 % | 183182.30
+ 15.00 % | 274773.45
+ 20.00 % | 366364.60
+ 25.00 % | 457955.75
+ 30.00 % | 549546.90
+ 35.00 % | 641138.05
+ 40.00 % | 732729.20
+ 45.00 % | 824320.35
+ 50.00 % | 915911.50
+ 55.00 % | 1007502.65
+ 60.00 % | 1099093.80
+ 65.00 % | 1190684.95
+ 70.00 % | 1282276.10
+ 75.00 % | 1373867.25
+ 80.00 % | 1465458.40
+ 85.00 % | 1557049.55
+ 90.00 % | 1648640.70
+ 95.00 % | 1740231.85
+100.00 % | 1831823.00
--
1.5.6.5
1
0
30 Jun '10
* green/demo/labeling/regional_maxima/regional_maxima.cc: Add
many modifications to reach the current software state. There is some
nomenclatura, some refactoring and debugging.
---
milena/sandbox/ChangeLog | 8 +
.../labeling/regional_maxima/regional_maxima.cc | 354 ++++++++++++--------
2 files changed, 214 insertions(+), 148 deletions(-)
diff --git a/milena/sandbox/ChangeLog b/milena/sandbox/ChangeLog
index b94de66..e1a6235 100644
--- a/milena/sandbox/ChangeLog
+++ b/milena/sandbox/ChangeLog
@@ -75,6 +75,14 @@
* bin/pgm_to_pbm.cc,
* bin/ppm_negate.cc: New.
+2009-12-18 Yann Jacquelet<jacquelet(a)lrde.epita.fr>
+
+ Fix the right behaviour of the regmax software.
+
+ * green/demo/labeling/regional_maxima/regional_maxima.cc: Add
+ many modifications to reach the current software state. There is some
+ nomenclatura, some refactoring and debugging.
+
2009-12-17 Yann Jacquelet <jacquelet(a)lrde.epita.fr>
Fix bug in the direction of projection.
diff --git a/milena/sandbox/green/demo/labeling/regional_maxima/regional_maxima.cc b/milena/sandbox/green/demo/labeling/regional_maxima/regional_maxima.cc
index c832486..65b6608 100644
--- a/milena/sandbox/green/demo/labeling/regional_maxima/regional_maxima.cc
+++ b/milena/sandbox/green/demo/labeling/regional_maxima/regional_maxima.cc
@@ -27,7 +27,8 @@
// #include <mln/data/stretch.hh>
#include <mln/data/transform.hh>
-// #include <mln/display/display_histo.hh>
+// #include <mln/debug/println.hh>
+#include <mln/display/display_histo.hh>
#include <mln/fun/v2v/rgb8_to_rgbn.hh>
@@ -49,6 +50,7 @@
#include <mln/opt/at.hh>
+#include <mln/transform/influence_zone_geodesic.hh>
// #include <mln/pw/value.hh>
#include <mln/util/array.hh>
@@ -255,108 +257,6 @@ void print_count2(const mln::image2d<mln::value::rgb<n> >& input_rgbn,
}
}
-template <unsigned n>
-mln::image2d<mln::value::label_8>
-compute_stats(const mln::image2d<mln::value::rgb8>& input_rgb8,
- const mln::image2d<mln::value::rgb<n> >& input_rgbn,
- const mln::image3d<unsigned>& histo,
- const mln::image3d<mln::value::label_8>& label,
- const unsigned n_labels)
-{
- typedef mln::value::label_8 t_lbl8;
- typedef mln::value::rgb<n> t_rgbn;
- typedef mln::value::rgb8 t_rgb8;
- typedef mln::value::int_u<n> t_int_un;
- typedef mln::algebra::vec<3,float> t_vec3f;
- typedef mln::accu::math::sum<unsigned,unsigned> t_sum;
- typedef mln::accu::stat::mean<t_vec3f,t_vec3f,t_vec3f> t_mean;
- typedef mln::image2d<t_lbl8> t_image2d_lbl8;
- typedef mln::image2d<t_rgbn> t_image2d_rgbn;
- typedef mln::image2d<t_rgb8> t_image2d_rgb8;
- typedef mln::image2d<t_int_un> t_image2d_int_un;
- typedef mln::util::array<unsigned> t_count_array;
- typedef mln::util::array<t_vec3f> t_mean_array;
-
- mln::util::array<float> abs((unsigned)(n_labels)+1);
- mln::util::array<float> rel((unsigned)(n_labels)+1);
- unsigned nb = 0;
-
- for (unsigned i = 0; i <= n_labels; ++i)
- {
- abs[i] = 0.0;
- rel[i] = 0.0;
- }
-
- // COMPUTE THE SUM
- t_count_array count = mln::labeling::compute(t_sum(),
- histo,
- label,
- n_labels);
-
- // COMPUTE THE TOTAL
- for (unsigned i = 0; i <= n_labels; ++i)
- {
- unsigned c = count[i];
- nb += c;
- }
-
- // COMPUTE THE PERCENTAGES
- for (unsigned i = 0; i <= n_labels; ++i)
- if (0 < count[i])
- {
- abs[i] = ((float)count[i] / nb)*100.0;
- rel[i] = ((float)count[i] / (nb - count[0]))*100.0;
- }
-
- // COMPUTE THE MEAN
- t_image2d_lbl8 label_img = mln::data::transform(input_rgbn,
- t_labeling_rgbn<n>(label));
-
- t_mean_array mean = mln::labeling::compute(t_mean(),
- input_rgb8,
- label_img,
- n_labels);
-
- // CORRECT LABEL 0 STATS
- rel[0] = 0;
- mean[0][0] = 255.0;
- mean[0][1] = 255.0;
- mean[0][2] = 0.0;
-
- for (unsigned i = 0; i <= n_labels; ++i)
- {
- const t_vec3f& mean_v = mean[i];
-
- std::cout << boost::format("%2i|"
- "r = %6.2f, g = %6.2f, b = %6.2f |"
- "c = %7i, %%i = %5.2f, %%c = %5.2f")
- % i
- % mean_v[0]
- % mean_v[1]
- % mean_v[2]
- % count[i]
- % abs[i]
- % rel[i]
- << std::endl;
- /*
- std::cout << i << "|("
- << "r = " << unquant<n>(mean_v[0]) << ", "
- << "g = " << unquant<n>(mean_v[1]) << ", "
- << "b = " << unquant<n>(mean_v[2]) << ")|("
- << "c = " << count[i] << ", "
- << "%i= " << abs[i] << "%, "
- << "%c= " << rel[i] << "%)"
- << std::endl;
- */
- }
-
- t_image2d_rgb8 mean_rgb8 = mln::data::transform(label_img,
- t_mean_lbl8_with_rgb8(mean));
-
- mln::io::ppm::save(mean_rgb8, "mean.ppm");
-
- return label_img;
-}
void print_count(const mln::image3d<unsigned>& histo,
const mln::image3d<mln::value::label_8>& label,
@@ -561,9 +461,111 @@ int main2()
return 0;
}
+void compute_stats(const mln::image2d<mln::value::rgb8>& i_input_rgb8,
+ const mln::image2d<mln::value::label_8>& l_input_lbl8,
+ const mln::image3d<unsigned>& h_histo_rgbn,
+ const mln::image3d<mln::value::label_8>& l_histo_lbl8,
+ const mln::value::label_8& n_labels)
+{
+ typedef mln::algebra::vec<3,float> t_vec3f;
+ typedef mln::accu::math::sum<unsigned,unsigned> t_sum;
+ typedef mln::accu::stat::mean<t_vec3f,t_vec3f,t_vec3f> t_mean;
+ typedef mln::util::array<unsigned> t_count_array;
+ typedef mln::util::array<t_vec3f> t_mean_array;
+
+ mln::util::array<float> abs((unsigned)(n_labels)+1);
+ mln::util::array<float> rel((unsigned)(n_labels)+1);
+ unsigned nb = 0;
+
+ for (unsigned i = 0; i <= n_labels; ++i)
+ {
+ abs[i] = 0.0;
+ rel[i] = 0.0;
+ }
+
+ // COMPUTE THE SUM
+ t_count_array count = mln::labeling::compute(t_sum(),
+ h_histo_rgbn,
+ l_histo_lbl8,
+ n_labels);
+
+ // COMPUTE THE TOTAL
+ for (unsigned i = 0; i <= n_labels; ++i)
+ {
+ unsigned c = count[i];
+ nb += c;
+ }
+
+ // COMPUTE THE PERCENTAGES
+ for (unsigned i = 0; i <= n_labels; ++i)
+ if (0 < count[i])
+ {
+ abs[i] = ((float)count[i] / nb)*100.0;
+ rel[i] = ((float)count[i] / (nb - count[0]))*100.0;
+ }
+
+ // COMPUTE THE MEAN
+
+ t_mean_array mean = mln::labeling::compute(t_mean(),
+ i_input_rgb8,
+ l_input_lbl8,
+ n_labels);
+
+ // CORRECT 0 LABEL STATS
+ rel[0] = 0;
+ mean[0][0] = 255.0;
+ mean[0][1] = 255.0;
+ mean[0][2] = 0.0;
+
+ // PRINT STATS
+ for (unsigned i = 0; i <= n_labels; ++i)
+ {
+ const t_vec3f& mean_v = mean[i];
+
+ std::cout << boost::format("%2i|"
+ "r = %6.2f, g = %6.2f, b = %6.2f |"
+ "c = %7i, %%i = %5.2f, %%c = %5.2f")
+ % i
+ % mean_v[0]
+ % mean_v[1]
+ % mean_v[2]
+ % count[i]
+ % abs[i]
+ % rel[i]
+ << std::endl;
+ /*
+ std::cout << i << "|("
+ << "r = " << unquant<n>(mean_v[0]) << ", "
+ << "g = " << unquant<n>(mean_v[1]) << ", "
+ << "b = " << unquant<n>(mean_v[2]) << ")|("
+ << "c = " << count[i] << ", "
+ << "%i= " << abs[i] << "%, "
+ << "%c= " << rel[i] << "%)"
+ << std::endl;
+ */
+ }
+
+ std::cout << std::endl << std::endl;
+
+}
+
+void save_histo(const mln::image2d<mln::value::rgb8>& input_rgb8,
+ const std::string& name)
+{
+ typedef mln::value::int_u8 t_int_u8;
+ typedef mln::image2d<t_int_u8> t_image2d_int_u8;
+ typedef mln::image3d<unsigned> t_histo3d;
+ typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun;
+
+ t_histo3d histo = mln::data::compute(t_histo3d_fun(), input_rgb8);
+ t_image2d_int_u8 display = mln::display::display_histo3d_unsigned(histo);
+ mln::io::pgm::save(display, name);
+}
+
+
// n < 8, n is the degree of quantification
template <unsigned n>
-void demo(const std::string& image, const unsigned min_volume)
+void demo(const std::string& image, const unsigned min_vol)
{
typedef mln::value::label_8 t_lbl8;
typedef mln::value::int_u8 t_int_u8;
@@ -580,45 +582,106 @@ void demo(const std::string& image, const unsigned min_volume)
typedef mln::accu::meta::stat::histo3d_rgb t_histo3d_fun;
// START OF IMAGE PROCESSING CHAIN
- t_image2d_rgb8 input_rgb8;
- t_image2d_rgbn input_rgbn;
- t_image2d_rgb8 output_rgb8;
- t_image2d_rgb8 mean_rgb8;
- t_histo3d histo;
- t_histo3d histo2;
- // t_image2d_int_u8 projected;
- // t_image2d_int_u8 filtered;
- t_histo3d opened;
- t_image3d_lbl8 label;
- t_image2d_lbl8 label_img;
- t_image3d_lbl8 dilated;
- t_lbl8 n_labels;
-
- mln::io::ppm::load(input_rgb8, image.c_str());
- input_rgbn = mln::data::transform(input_rgb8, t_rgb8_to_rgbn());
- histo = mln::data::compute(t_histo3d_fun(), input_rgbn);
- opened = mln::morpho::opening::volume(histo, mln::c6(), min_volume);
- label = mln::labeling::regional_maxima(opened, mln::c6(), n_labels);
- // dilated = mln::morpho::elementary::dilation(label, mln::c26());
+ t_image2d_rgb8 i0_input; // input rgb8
+ t_histo3d h0_input; // histo input
+
+ t_image2d_rgbn i1_input; // input rgbn
+ t_histo3d h1_input; // histo input
+
+ t_histo3d h2_input; // histo opened
+ t_image3d_lbl8 l2_histo; // label histo
+ t_image2d_lbl8 l2_input; // label image
+ t_image2d_rgb8 i2_merge; // merge label
+ t_image2d_rgb8 i2_mean; // mean label
+
+ t_image3d_lbl8 l3_histo; // label dilated
+ t_image2d_lbl8 l3_input; // label image
+ t_image2d_rgb8 i3_merge; // merge label
+ t_image2d_rgb8 i3_mean; // mean label
+
+ t_image3d_lbl8 l4_histo; // label iz
+ t_image2d_lbl8 l4_input; // label image
+ t_image2d_rgb8 i4_merge; // merge label
+ t_image2d_rgb8 i4_mean; // mean label
+
+ t_image3d_lbl8 l5_histo; // label iz 2
+ t_image2d_lbl8 l5_input; // label image
+ t_image2d_rgb8 i5_merge; // merge label
+ t_image2d_rgb8 i5_mean; // mean label
+
+ t_lbl8 n_lbl; // nb class
+
+ mln::io::ppm::load(i0_input, image.c_str());
+ i1_input = mln::data::transform(i0_input, t_rgb8_to_rgbn());
+ h1_input = mln::data::compute(t_histo3d_fun(), i1_input);
+ h2_input = mln::morpho::opening::volume(h1_input, mln::c6(), min_vol);
+ l2_histo = mln::labeling::regional_maxima(h2_input, mln::c6(), n_lbl);
+ l3_histo = mln::morpho::elementary::dilation(l2_histo, mln::c26());
+ l4_histo = mln::transform::influence_zone_geodesic(l2_histo, mln::c26());
+ l5_histo = mln::transform::influence_zone_geodesic(l2_histo, mln::c26(), 2);
// END OF IMAGE PROCESSING CHAIN
+// i2_mean = mln::data::transform(l0_input,t_mean_lbl8_with_rgb8(mean_array));
// BEGIN DUMPING
- label_img = compute_stats(input_rgb8, input_rgbn, histo, label, n_labels);
- // mean_rgb8 = mln::labeling::mean_values(input_rgb8, label_img, n_labels);
- // mln::io::ppm::save(mean_rgb8, "mean.ppm");
+ save_histo(i0_input, "h0_input.pgm");
+
+ // without anything
+ l2_input = mln::data::transform(i1_input, t_labeling_rgbn<n>(l2_histo));
+ i2_mean = mln::labeling::mean_values(i0_input, l2_input, n_lbl);
+ i2_merge = mln::data::transform(i0_input,t_merge_lbl8_with_rgbn<n>(l2_histo));
+
+ compute_stats(i0_input, l2_input, h1_input, l2_histo, n_lbl);
+
+ mln::io::pgm::save(l2_input, "l2_input.pgm");
+ mln::io::ppm::save(i2_mean, "i2_mean.ppm");
+ mln::io::ppm::save(i2_merge, "i2_merge.ppm");
+
+ save_histo(i2_mean, "h2_mean.pgm");
+ save_histo(i2_merge, "h2_merge.pgm");
- output_rgb8 = mln::data::transform(input_rgb8,
- t_merge_lbl8_with_rgbn<5>(label));
+ // with dilation
+ l3_input = mln::data::transform(i1_input, t_labeling_rgbn<n>(l3_histo));
+ i3_mean = mln::labeling::mean_values(i0_input, l3_input, n_lbl);
+ i3_merge = mln::data::transform(i0_input,t_merge_lbl8_with_rgbn<n>(l3_histo));
+ compute_stats(i0_input, l3_input, h1_input, l3_histo, n_lbl);
- mln::io::ppm::save(output_rgb8, "merge.ppm");
- mln::io::pgm::save(label_img, "label.pgm");
+ mln::io::pgm::save(l3_input, "l3_input.pgm");
+ mln::io::ppm::save(i3_mean, "i3_mean.ppm");
+ mln::io::ppm::save(i3_merge, "i3_merge.ppm");
+ save_histo(i3_mean, "h3_mean.pgm");
+ save_histo(i3_merge, "h3_merge.pgm");
-// histo2 = mln::data::compute(t_histo3d_fun(), mean_rgbn);
-// mln::debug::println(histo2);
+ // with geodesic influence
+ l4_input = mln::data::transform(i1_input, t_labeling_rgbn<n>(l4_histo));
+ i4_mean = mln::labeling::mean_values(i0_input, l4_input, n_lbl);
+ i4_merge = mln::data::transform(i0_input,t_merge_lbl8_with_rgbn<n>(l4_histo));
+
+ compute_stats(i0_input, l4_input, h1_input, l4_histo, n_lbl);
+
+ mln::io::pgm::save(l4_input, "l4_input.pgm");
+ mln::io::ppm::save(i4_mean, "i4_mean.ppm");
+ mln::io::ppm::save(i4_merge, "i4_merge.ppm");
+
+ save_histo(i4_mean, "h4_mean.pgm");
+ save_histo(i4_merge, "h4_merge.pgm");
+
+ // with restricted geodesic influence
+ l5_input = mln::data::transform(i1_input, t_labeling_rgbn<n>(l5_histo));
+ i5_mean = mln::labeling::mean_values(i0_input, l5_input, n_lbl);
+ i5_merge = mln::data::transform(i0_input,t_merge_lbl8_with_rgbn<n>(l5_histo));
+
+ compute_stats(i0_input, l5_input, h1_input, l5_histo, n_lbl);
+
+ mln::io::pgm::save(l5_input, "l5_input.pgm");
+ mln::io::ppm::save(i5_mean, "i5_mean.ppm");
+ mln::io::ppm::save(i5_merge, "i5_merge.ppm");
+
+ save_histo(i5_mean, "h5_mean.pgm");
+ save_histo(i5_merge, "h5_merge.pgm");
// END DUMPING
/*
@@ -685,25 +748,14 @@ void demo(const std::string& image, const unsigned min_volume)
*/
}
-/*
-int main_old()
-{
- demo<2>(); // 2.26 s
- demo<3>(); // 2.29 s
- demo<4>(); // 2.29 s
- demo<5>(); // 2.37 s
- demo<6>(); // 3.19 s
- demo<7>(); // 11.43 s
- demo<8>(); // 96.19 s
-}
-*/
+
void usage()
{
std::cout << std::endl;
std::cout << "regional_maxima" << std::endl;
std::cout << "image <name>" << std::endl;
std::cout << "quantification {5,6}" << std::endl;
- std::cout << "volume 1000" << std::endl;
+ std::cout << "min_volume 1000" << std::endl;
// 3 paramètres en entré:
// * l'image
@@ -712,8 +764,14 @@ void usage()
// sorties:
// * fichier de stats [etiquette|couleur moyenne|% image|% classé]
- // * couleur moyenne de l'étiquette + couleur specifique pour étiquette 0
- // * histo sur l'image d'étiquette
+ // * image de labels
+ // * image reconstruite avec la moyenne de chaque classe [i_mean]
+ // * image reconstruite avec les couleurs de chaque classe [i_merge]
+ // * histogramme original de l'image d'entrée [h_input]
+ // * histogramme projeté de mean [h_mean]
+ // * histogramme projeté de merge [h_merge]
+
+ // *
}
int main(int argc, char* args[])
--
1.5.6.5
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