* morpho.ixx (instantiate_max_tree): New macro. Call it... (instantiate_morpho): ...here. * python/max-tree.py: New test. * python/Makefile.am (TESTS): Add max-tree.py. --- swilena/ChangeLog | 10 ++++++ swilena/morpho.ixx | 18 +++++++++++ swilena/python/Makefile.am | 3 +- swilena/python/{morpho-segm.py => max-tree.py} | 40 +++++++++++++---------- 4 files changed, 53 insertions(+), 18 deletions(-) copy swilena/python/{morpho-segm.py => max-tree.py} (53%) diff --git a/swilena/ChangeLog b/swilena/ChangeLog index b0145d8..9790b3f 100644 --- a/swilena/ChangeLog +++ b/swilena/ChangeLog @@ -1,5 +1,15 @@ 2010-04-01 Roland Levillain &lt;roland(a)lrde.epita.fr&gt; + Wrap function mln::morpho::tree::max<I, N>. + + * morpho.ixx (instantiate_max_tree): New macro. + Call it... + (instantiate_morpho): ...here. + * python/max-tree.py: New test. + * python/Makefile.am (TESTS): Add max-tree.py. + +2010-04-01 Roland Levillain &lt;roland(a)lrde.epita.fr&gt; + Add a Swilena wrapper for mln::image2d<mln::point2d>. * image2d_point2d.i: New. diff --git a/swilena/morpho.ixx b/swilena/morpho.ixx index 7807694..d917ac0 100644 --- a/swilena/morpho.ixx +++ b/swilena/morpho.ixx @@ -166,6 +166,22 @@ namespace mln %template(Name) mln::morpho::meyer_wst< L, I, N >; %enddef +/*-----------. +| Max-tree. | +`-----------*/ + +%{ +#include "mln/morpho/tree/max.hh" +%} + +%include "mln/morpho/tree/max.hh" + +%define instantiate_max_tree(Name, I, N) + // Explicit instantiation of this trait for the return type. + %template() mln::trait::ch_value< I, mln_psite(I) >; + %template(Name) mln::morpho::tree::max< I, N >; +%enddef + /*-------------------------. | Instantiate everything. | `-------------------------*/ @@ -185,4 +201,6 @@ namespace mln instantiate_opening_area(opening_area, I, N) instantiate_meyer_wst(meyer_wst, mln_value(I), I, N) + + instantiate_max_tree(max_tree, I, N) %enddef diff --git a/swilena/python/Makefile.am b/swilena/python/Makefile.am index 71ca9e7..ea4b25d 100644 --- a/swilena/python/Makefile.am +++ b/swilena/python/Makefile.am @@ -339,7 +339,8 @@ $(srcdir)/run.stamp: $(RUN_IN) # as `--python' to `run'. TESTS = \ box2d-misc.py \ - image2d-misc.py morpho-fun.py morpho-segm.py dynamic-image2d-misc.py + image2d-misc.py morpho-fun.py morpho-segm.py max-tree.py \ + dynamic-image2d-misc.py EXTRA_DIST += $(TESTS) diff --git a/swilena/python/morpho-segm.py b/swilena/python/max-tree.py similarity index 53% copy from swilena/python/morpho-segm.py copy to swilena/python/max-tree.py index 654aa95..0c5dd65 100644 --- a/swilena/python/morpho-segm.py +++ b/swilena/python/max-tree.py @@ -1,6 +1,6 @@ #! /usr/bin/env python -# Copyright (C) 2008, 2009 EPITA Research and Development Laboratory (LRDE) +# Copyright (C) 2010 EPITA Research and Development Laboratory (LRDE) # # This file is part of Olena. # @@ -16,27 +16,33 @@ # You should have received a copy of the GNU General Public License # along with Olena. If not, see <http://www.gnu.org/licenses/>. -# \file python/morpho-segm.py -# \brief Test on watershed transform-based segmentation. +# \file python/max-tree.py +# \brief Test on the max-tree. import data from swilena import * -# Module alias. +# Module aliases. image = image2d_int_u8 +par_image = image2d_point2d ima = image.load(data.lena) +ima = image.image2d_int_u8(3, 3) -# Gradient. -gradient = image.gradient(ima, win_c4p()) -image.save(gradient, "gradient.pgm") -# Area closing of the gradient. -closed_gradient = image.closing_area(ima, c4(), 50) -# Watershed transform. -nbasins = int_u8() -ws = image.meyer_wst (closed_gradient, c4(), nbasins) -print nbasins -image.save(ws, "segm.pgm") - -# FIXME: Also re-enable the naive segmentation with no gradient -# simplification, and an output on an image2d<int_u32>. +values = [5, 6, 6, + 8, 9, 9, + 8, 9, 9] + +v = values.__iter__() + +for p in ima.domain(): + ima.set(p, int_u8(v.next())) +image.println("ima =", ima) + +max_tree_parent = image.max_tree(ima, c4()); +# FIXME: Why can't we use +# +# image2d_point2d.println("max_tree_parent =", max_tree_parent) +# +# ? +par_image.println(max_tree_parent) -- 1.5.6.5