* apps/papers/levillain.09.ismm/Makefile.am
(noinst_PROGRAMS): Add classif.
(classif_SOURCES): Add classif.cc
(dist_noinst_DATA): Add classseedsi.pbm.
(noinst_DATA): Add classwst.pnm.
(classwst.pnm): New target.
* apps/papers/levillain.09.ismm/classif.cc: New.
Copied and adapted from
sandbox/theo/esiee/laurent/presentation/classif.cc.
* apps/papers/levillain.09.ismm/classseedsi.pbm: New.
---
milena/ChangeLog | 15 +
milena/apps/papers/levillain.09.ismm/Makefile.am | 15 +-
.../papers/levillain.09.ismm}/classif.cc | 154 +-
.../apps/papers/levillain.09.ismm/classseedsi.pbm | 6415 ++++++++++++++++++++
4 files changed, 6492 insertions(+), 107 deletions(-)
copy milena/{sandbox/theo/esiee/laurent/presentation =>
apps/papers/levillain.09.ismm}/classif.cc (75%)
create mode 100644 milena/apps/papers/levillain.09.ismm/classseedsi.pbm
diff --git a/milena/ChangeLog b/milena/ChangeLog
index d79c220..723a858 100644
--- a/milena/ChangeLog
+++ b/milena/ChangeLog
@@ -1,5 +1,20 @@
2011-10-04 Roland Levillain <roland(a)lrde.epita.fr>
+ Import the WST-based classification in apps/papers/levillain.09.ismm.
+
+ * apps/papers/levillain.09.ismm/Makefile.am
+ (noinst_PROGRAMS): Add classif.
+ (classif_SOURCES): Add classif.cc
+ (dist_noinst_DATA): Add classseedsi.pbm.
+ (noinst_DATA): Add classwst.pnm.
+ (classwst.pnm): New target.
+ * apps/papers/levillain.09.ismm/classif.cc: New.
+ Copied and adapted from
+ sandbox/theo/esiee/laurent/presentation/classif.cc.
+ * apps/papers/levillain.09.ismm/classseedsi.pbm: New.
+
+2011-10-04 Roland Levillain <roland(a)lrde.epita.fr>
+
Split apps/papers/levillain.09.ismm/graph.cc.
* apps/papers/levillain.09.ismm/graph.cc: Misc. changes.
diff --git a/milena/apps/papers/levillain.09.ismm/Makefile.am
b/milena/apps/papers/levillain.09.ismm/Makefile.am
index ac583f8..3b9a63c 100644
--- a/milena/apps/papers/levillain.09.ismm/Makefile.am
+++ b/milena/apps/papers/levillain.09.ismm/Makefile.am
@@ -15,7 +15,7 @@
# You should have received a copy of the GNU General Public License
# along with Olena. If not, see <http://www.gnu.org/licenses/>.
-# Illustrations from the ISMM 2009 paper.
+# Illustrations from the ISMM 2009 paper and presentation (slides).
# Find Milena headers.
AM_CPPFLAGS = -I$(top_srcdir)/milena -I$(top_builddir)/milena
@@ -25,17 +25,20 @@ AM_CXXFLAGS = $(APPS_CXXFLAGS)
noinst_HEADERS = chain.hh io.hh influence_zones.hh
-noinst_PROGRAMS = image2d graph complex
+noinst_PROGRAMS = image2d graph complex classif
image2d_SOURCES = image2d.cc
graph_SOURCES = graph.cc
complex_SOURCES = complex.cc
+# This example has been shown in the ISMM 2009 presentation only (not
+# in the paper).
+classif_SOURCES = classif.cc
# Input images.
# FIXME: Move them to milena/img/?
-dist_noinst_DATA = seeds.pgm m283-c.off
+dist_noinst_DATA = seeds.pgm m283-c.off classseedsi.pbm
# Output images.
-noinst_DATA = lena-s.ppm graph-s.png m283-s.off
+noinst_DATA = lena-s.ppm graph-s.png m283-s.off classwst.pnm
MOSTLYCLEANFILES = $(noinst_DATA) graph-s.neato
# FIXME: Also generate intermediate images (gradients, etc.).
@@ -50,3 +53,7 @@ graph-s.neato: seeds.pgm graph$(EXEEXT)
m283-s.off: m283-c.off complex$(EXEEXT)
./complex$(EXEEXT) $< 100 $@
+
+# FIXME: Adjust the lambda parameter.
+classwst.pnm: classseedsi.pbm classif$(EXEEXT)
+ ./classif$(EXEEXT) $< 5 $@
diff --git a/milena/sandbox/theo/esiee/laurent/presentation/classif.cc
b/milena/apps/papers/levillain.09.ismm/classif.cc
similarity index 75%
copy from milena/sandbox/theo/esiee/laurent/presentation/classif.cc
copy to milena/apps/papers/levillain.09.ismm/classif.cc
index 0b9912d..d5bb052 100644
--- a/milena/sandbox/theo/esiee/laurent/presentation/classif.cc
+++ b/milena/apps/papers/levillain.09.ismm/classif.cc
@@ -1,36 +1,33 @@
-// Copyright (C) 2008, 2009 EPITA Research and Development Laboratory (LRDE)
+// Copyright (C) 2008, 2009, 2011 EPITA Research and Development
+// Laboratory (LRDE)
//
-// This file is part of the Milena Library. This library is free
-// software; you can redistribute it and/or modify it under the terms
-// of the GNU General Public License version 2 as published by the
-// Free Software Foundation.
+// This file is part of Olena.
//
-// This library is distributed in the hope that it will be useful,
+// Olena is free software: you can redistribute it and/or modify it under
+// the terms of the GNU General Public License as published by the Free
+// Software Foundation, version 2 of the License.
+//
+// Olena is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
//
// You should have received a copy of the GNU General Public License
-// along with this library; see the file COPYING. If not, write to
-// the Free Software Foundation, 51 Franklin Street, Fifth Floor,
-// Boston, MA 02111-1307, USA.
+// along with Olena. If not, see <http://www.gnu.org/licenses/>.
//
// As a special exception, you may use this file as part of a free
-// software library without restriction. Specifically, if other files
+// software project without restriction. Specifically, if other files
// instantiate templates or use macros or inline functions from this
-// file, or you compile this file and link it with other files to
-// produce an executable, this file does not by itself cause the
-// resulting executable to be covered by the GNU General Public
-// License. This exception does not however invalidate any other
-// reasons why the executable file might be covered by the GNU General
-// Public License.
-
-/// \file tests/core/image/complex_image_swt.cc
-/// \brief Testing Meyer's Watershed Transform on mln::complex_image.
+// file, or you compile this file and link it with other files to produce
+// an executable, this file does not by itself cause the resulting
+// executable to be covered by the GNU General Public License. This
+// exception does not however invalidate any other reasons why the
+// executable file might be covered by the GNU General Public License.
#include <iostream>
#include <vector>
+
#include <mln/core/image/image2d.hh>
#include <mln/core/routine/duplicate.hh>
#include <mln/core/alias/neighb2d.hh>
@@ -38,6 +35,7 @@
#include <mln/labeling/blobs.hh>
#include <mln/io/pbm/load.hh>
#include <mln/io/pgm/save.hh>
+#include <mln/io/ppm/save.hh>
#include <mln/debug/println.hh>
#include <mln/draw/line.hh>
#include <mln/pw/all.hh>
@@ -57,77 +55,29 @@
#include <mln/data/fill.hh>
#include <mln/norm/l2.hh>
-#include <mln/morpho/closing_area.hh>
-#include <mln/morpho/closing_volume.hh>
-#include <mln/morpho/closing_height.hh>
+#include <mln/morpho/closing/area.hh>
+#include <mln/morpho/closing/volume.hh>
+#include <mln/morpho/closing/height.hh>
#include <mln/morpho/meyer_wst.hh>
+#include <mln/labeling/colorize.hh>
-namespace mln
-{
-
- template <typename I, typename N>
- mln_concrete(I)
- influence_zones(const I& input, const N& nbh)
- {
- mln_concrete(I) output = duplicate(input);
-
- p_queue_fast<mln_site(I)> q;
-
- {
- // Initialization.
- mln_piter(I) p(input.domain());
- mln_niter(N) n(nbh, p);
- for_all(p)
- if (input(p) != 0)
- for_all(n) if (input.has(n))
- if (input(n) == 0)
- {
- q.push(p);
- break;
- }
- }
- {
- // Body.
- mln_site(I) p;
- mln_niter(N) n(nbh, p);
- while (! q.is_empty())
- {
- p = q.pop_front();
- mln_invariant(output(p) != 0);
- for_all(n) if (input.has(n))
- if (output(n) == 0)
- {
- output(n) = output(p);
- q.push(n);
- }
- }
- }
-
- return output;
-
- } // IZ
-
+#include "influence_zones.hh"
- template <typename I>
- void
- mk_graph(const I& iz, unsigned nlabels)
- {
- }
+// FIXME: Include and use chain.hh.
-}
-
-
-void usage(char* argv[])
-{
- std::cerr << argv[0] << " lambda" << std::endl;
- abort();
-}
int main(int argc, char* argv[])
{
- if (argc != 2)
- usage(argv);
+ if (argc != 4)
+ {
+ std::cerr << "usage: " << argv[0] << " input.pbm
lambda output.ppm"
+ << std::endl;
+ std::exit(1);
+ }
+ std::string input_filename = argv[1];
+ unsigned lambda = atoi(argv[2]);
+ std::string output_filename = argv[3];
using namespace mln;
using mln::value::int_u8;
@@ -160,9 +110,7 @@ int main(int argc, char* argv[])
border::thickness = 0;
image2d<bool> seeds;
- io::pbm::load(seeds, "+seeds.pbm");
-
-// debug::println(seeds);
+ io::pbm::load(seeds, input_filename);
unsigned nlabels;
image2d<unsigned> label = labeling::blobs(seeds, c4(), nlabels);
@@ -171,20 +119,25 @@ int main(int argc, char* argv[])
{
image2d<int_u8> lab(label.domain());
data::paste(label, lab);
+#if 0
io::pgm::save(lab, "label.pgm");
+#endif
}
image2d<unsigned> iz = influence_zones(label, c4());
{
image2d<int_u8> IZ(iz.domain());
data::paste(iz, IZ);
+#if 0
io::pgm::save(IZ, "iz.pgm");
+#endif
}
// debug::println( (pw::value(iz) - pw::cst(1)) | iz.domain() );
// mk_graph
+ // Adjacency matrix.
std::vector< std::vector<bool> > adj(nlabels + 1);
for (unsigned l = 1; l <= nlabels; ++l)
adj[l].resize(nlabels + 1, false);
@@ -196,14 +149,14 @@ int main(int argc, char* argv[])
point2d r = p + right, b = p + down;
if (iz.has(r) && iz(p) != iz(r))
{
- if (iz(p) <= iz(r))
+ if (iz(p) != iz(r))
adj[iz(p)][iz(r)] = true;
else
adj[iz(r)][iz(p)] = true;
}
if (iz.has(b) && iz(p) != iz(b))
{
- if (iz(p) <= iz(b))
+ if (iz(p) != iz(b))
adj[iz(p)][iz(b)] = true;
else
adj[iz(b)][iz(p)] = true;
@@ -255,19 +208,6 @@ int main(int argc, char* argv[])
}
-
-// {
-// for (unsigned l = 1; l <= nlabels; ++l)
-// for (unsigned ll = l + 1; ll <= nlabels; ++ll)
-// if (adj[l][ll])
-// std::cout << l-1 << ' ' << ll-1 << std::endl;
-// }
-
-
-
-// std::cout << c << std::endl;
-
-
image2d<int_u8> canvas(seeds.domain());
data::fill(canvas, 0);
@@ -311,6 +251,10 @@ int main(int argc, char* argv[])
v.next();
mln_invariant(!v.is_valid());
+ /* FIXME: Why is the norm divided by 2? Is is to have it fit on
+ an int_u8? If so, we shall use a canvas with a larger image
+ value (type e.g. int_u16) and use data::stretch() to save it as
+ an 8-bit image. */
dist_ima(e) = norm::l2_distance(p1.to_vec(), p2.to_vec()) / 2;
dist_max.take(dist_ima(e));
@@ -322,7 +266,9 @@ int main(int argc, char* argv[])
std::cout << "distance max = " << dist_max << std::endl;
+#if 0
io::pgm::save(canvas, "canvas.pgm");
+#endif
// // Initialize 0-faces to a dummy value, to prevent the watershed from
@@ -335,6 +281,7 @@ int main(int argc, char* argv[])
// }
+ // FIXME: Use the chain() routine.
// // For all edges, iterate on adjacent edges (i.e., on edges sharing
@@ -359,7 +306,8 @@ int main(int argc, char* argv[])
// Currently, does nothing (lambda = 1).
dist_ima_t closed_dist_ima; // (dist_ima.domain());
- closed_dist_ima = morpho::closing_height(dist_ima, nbh, atoi(argv[1]));
+ // FIXME: In other programs, an area closing is used.
+ closed_dist_ima = morpho::closing::height(dist_ima, nbh, lambda);
/*------.
| WST. |
@@ -414,6 +362,6 @@ int main(int argc, char* argv[])
draw::line(canvas_wst, p1, p2, wshed(e));
}
- io::pgm::save(canvas_wst, "canvas_wst.pgm");
-
+ io::ppm::save(labeling::colorize(value::rgb8(), canvas_wst, nbasins),
+ output_filename);
}
diff --git a/milena/apps/papers/levillain.09.ismm/classseedsi.pbm
b/milena/apps/papers/levillain.09.ismm/classseedsi.pbm
new file mode 100644
index 0000000..70786d8
--- /dev/null
+++ b/milena/apps/papers/levillain.09.ismm/classseedsi.pbm
@@ -0,0 +1,6415 @@
+P1
+# CREATOR: GIMP PNM Filter Version 1.1
+
+500 500
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
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+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
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+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
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+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
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+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
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+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
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+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
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+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
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+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
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+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
+1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
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1.7.2.5