URL: https://svn.lrde.epita.fr/svn/oln/trunk/milena ChangeLog: 2007-11-08 Matthieu Garrigues &lt;garrigues(a)lrde.epita.fr&gt; Add an faster FLLT algorithm implementation. * sandbox/garrigues/fllt_optimized.hh: New, same implementation of FLLT algorithm, expect we avoid calling labeling::level to determine the holes of a each shape. --- fllt_optimized.hh | 895 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 895 insertions(+) Index: trunk/milena/sandbox/garrigues/fllt_optimized.hh =================================================================== --- trunk/milena/sandbox/garrigues/fllt_optimized.hh (revision 0) +++ trunk/milena/sandbox/garrigues/fllt_optimized.hh (revision 1455) @@ -0,0 +1,895 @@ +// Copyright (C) 2007 EPITA Research and Development Laboratory +// +// This file is part of the Olena 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 library 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. +// +// As a special exception, you may use this file as part of a free +// software library without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to +// produce an executable, this file does not by itself cause the +// resulting executable to be covered by the GNU General Public +// License. This exception does not however invalidate any other +// reasons why the executable file might be covered by the GNU General +// Public License. + + +#ifndef MLN_FIXME_FLLT_HH +# define MLN_FIXME_FLLT_HH + +/*! \file fllt.hh + * + * \brief Fast level line transform of an image. + * + */ + +# include <mln/core/image2d.hh> +# include <mln/core/set_p.hh> +# include <mln/core/inplace.hh> +# include <mln/core/neighb2d.hh> +# include <mln/core/pset_if_piter.hh> +# include <mln/core/pset_if.hh> +# include <mln/core/sub_image.hh> +# include <mln/core/image_if.hh> +# include <mln/core/clone.hh> +# include <mln/core/a_point_of.hh> + +# include <mln/debug/println.hh> +# include <mln/debug/println_with_border.hh> + +# include <mln/convert/to_image.hh> + +# include <mln/border/fill.hh> + +# include <mln/level/compute.hh> +# include <mln/level/fill.hh> +# include <mln/accu/min.hh> +# include <mln/accu/max.hh> + +# include <mln/set/uni.hh> +# include <mln/set/diff.hh> +# include <mln/set/inter.hh> +# include <mln/set/is_subset_of.hh> + +# include <mln/util/tree.hh> +# include <mln/util/branch_iter_ind.hh> + +# include <mln/labeling/regional_minima.hh> +# include <mln/labeling/regional_maxima.hh> +# include <mln/labeling/level.hh> + +# include <mln/fun/ops.hh> +# include <mln/pw/value.hh> +# include <mln/pw/cst.hh> + +# include <mln/util/tree_to_image.hh> +# include <mln/value/int_u8.hh> +# include <mln/level/stretch.hh> +# include <mln/level/compare.hh> +# include <mln/io/pgm/save.hh> + +namespace mln +{ + namespace fllt + { + + template <typename P, typename V> + struct fllt_node_elt + { + V value; + set_p<P> points; + set_p<P> holes; + /// Tell if his parent if brighter or not. Nb : if the parent + /// if brighter, the node come from the lower level set + bool brighter; + }; + +# define fllt_tree(P, V) util::tree< fllt_node_elt<P, V> > +# define fllt_node(P, V) util::node< fllt_node_elt<P, V> > +# define fllt_branch(P, V) util::branch< fllt_node_elt<P, V> > +# define fllt_branch_iter(P, V) util::branch_iter< fllt_node_elt<P, V> > + + // # define fllt_node(P, V) typename fllt_tree(P, V)::node_t + + + + // LOWER LEVEL SET : region = c4, border = c8 + // UPPER LEVEL SET : region = c8, border = c4 + + // 1) + // x0 <- a not tagged local mininum of ima. + // g <- u(x0) + + // 2) + // A <- {x0} + // R <- {} + // N <- {} + + // 3) + // N <- N union {x neighbor of a pixel in a} + // gn <- min u(x) x belongs to N. + // R <- R union A + // tag the pixels of A. + + // 4) + // IF g < gn + // IF number of conected components of the border > 1 + // follow each border to find which is the exterior border + // and which are the holes. Keep one pixel of each holes. + // + // Remove from N border of holes. + // Recompute gn <- min u(x) x belongs to A + // + // g <- gn + // A <- {x belongs to N / u(x) == g} + // N <- N\{x belongs to N / u(x) == g} + // GO TO 3) + // IF g == gn + // A <- {x belongs to N / u(x) == g} + // N <- N\{x belongs to N / u(x) == g} + // GO TO 3) + // IF g > gn + // set the gray-level of the pixels of R to g. + // GO TO 1) + + template <typename P, typename V> + struct fllt_env + { + const image2d<V>& input; + image2d<V> u; + image2d<bool> tagged; + fllt_node(P, V)* current_region; + image2d<fllt_node(P, V)*>& regions; + set_p<P> A; + set_p<P> R; + set_p<P> N; + V g,gn; + point2d x0; + + fllt_env(const image2d<V>& input, + image2d<fllt_node(P, V)*>& regions_) + : input(input), + regions(regions_), + tagged(input.domain()) + { + + // INIT + R.clear(); + N.clear(); + A.clear(); + g= 0; + gn = 0; + current_region = 0; + + level::fill(regions, 0); + level::fill(tagged, false); + + u = clone(input); + border::fill(u, 0); + } + + }; + + template <typename P, typename V> + void step1 (fllt_env<P, V>& env, + point2d p) + { + //std::cout << "entering step 1" << std::endl; + // x0 <- a not tagged local mininum of ima. + //std::cout << std::endl << "x0 = " << p << std::endl; + env.x0 = p; + // g <- u(x0) + env.g = env.input(env.x0); + //std::cout << "g = " << g << std::endl; + //std::cout << "exiting step 1" << std::endl; + } + + template <typename P, typename V> + void step2 (fllt_env<P, V>& env) + { + //std::cout << "entering step 2" << std::endl; + // A <- {x0} + env.A.clear(); + env.A.insert(env.x0); + // R <- {} + env.R.clear(); + // N <- {} + env.N.clear(); + //std::cout << "exiting step 2" << std::endl; + } + + + template <typename V, typename P, typename F> + void step3 (fllt_env<P, V>& env) + { + static bool finished = false; + //std::cout << "entering step 3" << std::endl; + + // Stop the algorithm. + if (finished) + { finished = false; env.gn -= 2 * F::inc; return; } + + // N <- N union {x neighbor of a pixel in a\R} + mln_piter(set_p<P>) qa(env.A); + for_all(qa) + { + mln_niter(neighb2d) n(F::reg_nbh(), qa); + for_all (n) + if (!env.R.has (n)) + env.N.insert (n); + } + + // debug::println(u); + + // //std::cout << "A :" << std::endl; + // if (A.npoints()) + // //debug::println(u | A); + // //std::cout << "N :" << std::endl; + // if (N.npoints()) + // //debug::println(u | N); + // //std::cout << "R :" << std::endl; + // if (R.npoints()) + // //debug::println(u | R); + + // gn <- min u(x) x belongs to N. + if ((env.u | set::inter(env.N, env.u.domain())).npoints() > 0) + env.gn = level::compute< typename F::accu_for_gn >(env.u | set::inter(env.N, env.u.domain())); + else + { + finished = true; + env.gn += F::inc; + } + //std::cout << std::endl << "gN = " << gn << std::endl; + // R <- R union A + // tag the pixels of A. + + for_all(qa) + { + env.R.insert(qa); + env.tagged(qa) = true; + //Update the number of connected components. + } + //std::cout << "exiting step 3" << std::endl; + } + + + /// IF g < gn. + template <typename V, typename P, typename F> + void step4_1 (fllt_env<P, V>& env) + { + //std::cout << "entering step 4_1" << std::endl; + + // If the region is bounded + // Create a new conected component. + // FIXME : we can make it faster. + + if ((env.R.bbox() < env.u.domain()) || (env.R.npoints() == env.u.domain().npoints())) + { + mln_piter(set_p<P>) p(env.R); + env.current_region = new fllt_node(P, V)(); + env.current_region->elt().brighter = F::parent_is_brighter; + env.current_region->elt().value = env.g; + for_all(p) + { + env.current_region->elt().points.insert(p); + + if (env.regions(p) == 0) + { + //current_region->elt().points.insert(p); + env.regions(p) = env.current_region; + } + else + { + if (env.regions(p)->parent() == 0) + env.regions(p)->set_parent(env.current_region); + } + } + + + // Count the number of conected components of the border of R. + static image2d<int> tmp(env.u.domain().to_larger(1)); + static image2d<bool> border_ima(tmp.domain()); + level::fill(border_ima, false); + + // level::fill(inplace(border_ima | N), true); + // std::cout << "tmp border = " << tmp.border () << std::endl; + // std::cout << "ima border = " << border_ima.border () << std::endl; + mln_piter(set_p<P>) z(env.N); + for_all(z) + { + mln_assertion(border_ima.owns_(z)); + border_ima(z) = true; + } + std::cout << "labeling::level" << std::endl; + unsigned n; + labeling::level(border_ima, true, F::bdr_nbh(), tmp, n); + + // debug::println(border_ima); + //std::cout << "nb composantes :" << n << std::endl; + // debug::println(tmp); + if (n > 1) + { + + // IF number of conected components of the border > 1 + for (int i = 2; i <= n; i++) + { + // follow each border to find which is the exterior border + // and which are the holes. Keep one pixel of each holes. + + // WARNING : We trust labeling::level to label the exterior border with 1. + env.current_region->elt().holes.insert(a_point_of(tmp | pw::value(tmp) == pw::cst(i))); + + // FIXME : [optimisation] Remove from N border of holes???. + // Recompute gn <- min u(x) x belongs to A + } + } + + } + env.g = env.gn; + // A <- {x belongs to N / u(x) == g} + env.A.clear(); + env.A = set::uni(env.A, set::inter(env.N, env.u.domain()) | pw::value(env.u) == pw::cst(env.g)); + // N <- N\{x belongs to N / u(x) == g} + env.N = set::diff(env.N, set::inter(env.N, env.u.domain()) | pw::value(env.u) == pw::cst(env.g)); + + // std::cout << "A :" << std::endl; + // if (A.npoints()) + // debug::println(u | A); + // std::cout << "N :" << std::endl; + // if (N.npoints()) + // debug::println(u | N); + + //std::cout << "exiting step 4_1" << std::endl; + } + + + /// IF g == gn. + template <typename V, typename P> + void step4_2 (fllt_env<P, V>& env) + { + //std::cout << "entering step 4_2" << std::endl; + + // A <- {x belongs to N / u(x) == g} + env.A = set::uni(env.A, set::inter(env.N, env.u.domain()) | pw::value(env.u) == pw::cst(env.g)); + // N <- N\{x belongs to N / u(x) == g} + env.N = set::diff(env.N, set::inter(env.N, env.u.domain()) | pw::value(env.u) == pw::cst(env.g)); + + // std::cout << "A :" << std::endl; + // if (A.npoints()) + // debug::println(u | A); + // std::cout << "N :" << std::endl; + // if (N.npoints()) + // debug::println(u | N); + + //std::cout << "exiting step 4_2" << std::endl; + } + + /// IF g > gn. + template <typename V, typename P> + void step4_3 (fllt_env<P, V>& env) + { + //std::cout << "entering step 4_3" << std::endl; + + // set the gray-level of the pixels of R to g. + mln_piter(set_p<P>) p(env.R); + for_all(p) + { + mln_assertion (env.tagged(p)); + env.u (p) = env.g; + } + + //std::cout << "exiting step 4_3" << std::endl; + + } + + + template <typename V, typename F> + fllt_tree(point2d, V)& + compute_level_set(const image2d<V>& input, + image2d< fllt_node(point2d, V)* >& regions) + { + typedef point2d P; + typedef image2d<V> I; + + // FIXME: not nice. + typedef mln::image_if< + mln::image2d<V>, + mln::fun::greater_p2b_expr_<mln::pw::value_<mln::image2d<V> >, + mln::pw::cst_<int> > + > I_IF; + + // Check + mln_assertion(input.domain() == regions.domain()); + + // FIXME : rename it. + fllt_env<P,V> env(input, regions); + + // Declarations. +// set_p<P> R, N, A; +// V g, gn; +// point2d x0; + image2d<V> min_locals(input.domain()); + + + // Get the locals extremums + unsigned nlabels; + F::regional_extremum(input, F::reg_nbh(), min_locals, nlabels); + + // debug::println(min_locals); + // debug::println(min_locals | (pw::value(min_locals) > pw::cst(0))); + + /// Algorithm. + { + // For all locals extremums + //void* x = min_locals | (pw::value(min_locals) > pw::cst(0)); + I_IF min_locals_list(min_locals | (pw::value(min_locals) > pw::cst(0))); + mln_piter(I_IF) p(min_locals_list.domain()); + for_all(p) + { + if (env.tagged(p)) + continue; + + step1(env, p); + step2(env); + while (1) + { + //std::cout << "g = " << g << std::endl; + step3<V, P, F>(env); + /// step4. + if (F::compare(env.g, env.gn)) + { + step4_1<V, P, F>(env); + // GO TO 3) + continue; + } + + + if (env.g == env.gn) + { + step4_2(env); + // GO TO 3) + continue; + } + + + if (!F::compare(env.g, env.gn)) + { + step4_3(env); + // GO TO 1) + break; + } + } + //std::cout << "current_region = " << current_region << std::endl; + } + } // end of Algorithm + + image2d<value::int_u8> output (input.domain ()); + fllt_tree(P, V)& tree = *new fllt_tree(P, V)(env.current_region); + util::tree_to_image (tree, output); + + // util::display_tree(input, tree); + + // debug::println(output); + // std::cout << std::endl; + // debug::println(input); + + // if (output != input) + // { + // std::cerr << "BUG!!!" << std::endl; + // abort(); + // } + + // io::pgm::save(output, "out.pgm"); + // std::cout << "out.pgm generate" + // << std::endl; + + + // debug::println(regions); + //debug::println(input | regions(make:defined reference to `mln::fllt::lower<mln::value::int_u<8u> >::inc':point2d(-4,-1))->elt().points); + + return (tree); + + } // end of compute_level_set + + //Fwd declarations. + template <typename V> struct lower; + template <typename V> struct upper; + + // LOWER LEVEL SET : region = c4, border = c8 + template <typename V> + struct lower + { + typedef upper<V> opposite; + static bool + compare(const V& u, const V& v) + { + return u < v; + } + + template <typename I, typename N, typename O> + static bool + regional_extremum(const Image<I>& input, const Neighborhood<N>& nbh, + Image<O>& output, unsigned& nlabels) + { + return labeling::regional_minima(input, nbh, + output, nlabels); + } + + static const int inc = 1; + static const bool parent_is_brighter = true; + typedef accu::min accu_for_gn; + + static const neighb2d& bdr_nbh() { return c8(); } + static const neighb2d& reg_nbh() { return c4(); } + + }; + + + + // UPPER LEVEL SET : region = c8, border = c4 + template <typename V> + struct upper + { + typedef lower<V> opposite; + + static bool + compare(const V& u, const V& v) + { + return u > v; + } + + template <typename I, typename N, typename O> + static bool + regional_extremum(const Image<I>& input, const Neighborhood<N>& nbh, + Image<O>& output, unsigned& nlabels) + { + return labeling::regional_maxima(input, nbh, + output, nlabels); + } + + static const int inc = -1; + static const bool parent_is_brighter = false; + typedef accu::max accu_for_gn; + + static const neighb2d& bdr_nbh() { return c4(); } + static const neighb2d& reg_nbh() { return c8(); } + }; + + // Fwd declarations. + template <typename P, typename V, typename F> + void + fill_a_shape(fllt_node(P, V)& node, + fllt_tree(P, V)& tree, + const image2d<fllt_node(P, V)*>& node_reg, + const image2d<fllt_node(P, V)*>& hole_reg); + + template <typename P, typename V, typename F> + void + move_shape(fllt_node(P, V)& node, + fllt_node(P, V)& hole, + fllt_tree(P, V)& tree, + const image2d<fllt_node(P, V)*>& hole_reg, + const image2d<fllt_node(P, V)*>& other_reg) + { + // FIXME : debug to remove. + // std::cout << " [move_shape] "<< &hole << " as son of "<< &node << std::endl; + //node.elt().points = set::uni(hole.elt().points, node.elt().points); + node.add_child(&hole); + fill_a_shape<P,V,typename F::opposite>(hole, tree, hole_reg, other_reg); + } + + template <typename P, typename V, typename F> + fllt_node(P, V)* + find_the_hole(fllt_node(P, V)& node, + const P p, + const image2d<fllt_node(P, V)*>& other_reg) + { + fllt_node(P, V)* s = other_reg(p); + mln_assertion(s); + while (s->parent() && F::opposite::compare(s->parent()->elt().value, node.elt().value)) + //FIXME : Was while (s->parent() && (s->parent()->elt().value < node.elt().value)) + { + mln_assertion(s); + s = s->parent(); + mln_assertion(s); + } +// std::cout << " [Find the hole] of " << p +// << " from " << &node +// << " return " << s +// << std::endl; + return s; + } + + template <typename P, typename V, typename F> + void + fill_a_shape(fllt_node(P, V)& node, + fllt_tree(P, V)& tree, + const image2d<fllt_node(P, V)*>& node_reg, + const image2d<fllt_node(P, V)*>& hole_reg) + { +// std::cout << "[Start fill_a_shape] " << &node << " " +// << node.elt().holes.npoints() +// << " holes." << std::endl; + + if (node.elt().holes.npoints() == 0) + { + // std::cout << "[End fill_a_shape]" << std::endl; + return; + } + mln_piter(set_p<P>) p(node.elt().holes); + for_all(p) + { + bool h = true; + + fllt_node(P, V)* hole; + if (node.elt().brighter == F::parent_is_brighter) + hole = find_the_hole<P,V,F>(node, point2d(p), hole_reg); + else + hole = find_the_hole<P,V,typename F::opposite>(node, point2d(p), node_reg); + + mln_assertion(hole); + + typename fllt_node(P, V)::children_t::iterator it; + for (it = node.children().begin(); + it != node.children().end(); + it++) + { + // Browse the hole of each child. + mln_piter(set_p<P>) q((*it)->elt().holes); + for_all(q) + { + fllt_node(P, V)* child_hole = find_the_hole<P,V,F>((**it), point2d(q), hole_reg); + if (set::is_subset_of(hole->elt().points, + child_hole->elt().points)) + +// if (hole->elt().points < child_hole->elt().points) + { + h = false; + break; + } + + } + if (!h) + break; + } + if (h) + move_shape<P,V,F>(node, *hole, tree, hole_reg, node_reg); + } + + node.elt().holes.clear(); + // std::cout << "[end fill_a_shape]" << std::endl; + } + + template <typename P, typename V> + fllt_tree(P, V) + merge_trees(fllt_tree(P, V)& lower_tree, + fllt_tree(P, V)& upper_tree, + const image2d<fllt_node(P, V)*>& low_reg, + const image2d<fllt_node(P, V)*>& upp_reg, + const image2d<V>& ima) + { + + // In order to merge the trees, we only have to find for each shape S + // with a hole H in it whether one of its children has a hole HŽ + // containing H. If it is the case, we do nothing. Otherwise, we + // put the shape of the hole H (and all its descendants) as child of + // the shape . + { + std::cout << "[Merge first tree]------------" << std::endl; + + fllt_branch_iter(P, V) p(lower_tree.main_branch()); + for_all(p) + { + fllt_node(P, V)& n(p); + fill_a_shape< P, V, lower<V> >(n, lower_tree, low_reg, upp_reg); + mln_assertion(lower_tree.check_consistency()); + mln_assertion(upper_tree.check_consistency()); + } + + } + + { + std::cout << "[Merge second tree]------------" << std::endl; + + fllt_branch_iter(P, V) p(upper_tree.main_branch()); + for_all(p) + { + fllt_node(P, V)& n(p); + fill_a_shape< P, V, upper<V> >(n, upper_tree, upp_reg, low_reg); + mln_assertion(lower_tree.check_consistency()); + mln_assertion(upper_tree.check_consistency()); + } + } + + fllt_tree(P, V)* main_tree = &lower_tree; + fllt_tree(P, V)* other_tree = &upper_tree; + + if (lower_tree.root()->elt().points.npoints() >= ima.domain().npoints()) + { + main_tree = &upper_tree; + other_tree = &lower_tree; + } + + typename fllt_node(P, V)::children_t::iterator it; + for (it = other_tree->root()->children().begin(); + it != other_tree->root()->children().end(); ) + { + main_tree->root()->add_child(*it); + } + mln_assertion(main_tree->check_consistency()); + return *main_tree; + } + + + template <typename P, typename V> + void + visualize_deepness(image2d<value::int_u8>& output, + fllt_tree(P, V)& tree) + { + fllt_branch_iter(P, V) p(tree.main_branch()); + level::fill(output, 0); + for_all(p) + { + //std::cout << (&*p) << ":" << p.deepness() << std::endl; + mln_piter(set_p<point2d>) q((*p).elt().points); + for_all(q) + { + if (output(q) < p.deepness()) + output(q) = p.deepness(); + } + } + } + + + template <typename P, typename V> + void + visualize_bounds(image2d<value::int_u8>& output, + fllt_tree(P, V)& tree, + unsigned limit) + { + fllt_branch_iter(P, V) p(tree.main_branch()); + level::fill(output, 255); + for_all(p) + { + if ((*p).elt().points.npoints() > limit) + { + mln_piter(set_p<point2d>) q((*p).elt().points); + for_all(q) + { + mln_niter(neighb2d) n(c4(), q); + bool is_border = false; + for_all (n) + if (!((*p).elt().points).has (n)) + is_border = true; + if (is_border) + output(q) = 0; + } + } + } + } + + template <typename P, typename V> + void + draw_tree(const image2d<V>& ima, + fllt_tree(P, V)& tree) + { + fllt_branch_iter(P, V) p(tree.main_branch()); + for_all(p) + { + std::cout << "region mere : " << (*p).parent() << std::endl; + std::cout << " ^" << std::endl; + std::cout << " |" << std::endl; + std::cout << "region : " << &*p + << " value = " << (*p).elt().value << std::endl + << " holes : " + << (*p).elt().holes.npoints() + << (*p).elt().holes + << std::endl; + + debug::println(ima | (*p).elt().points); + std::cout << std::endl; + } + } + + template <typename V> + // Fixme : return type + void + fllt(const image2d<V>& ima) + { + typedef point2d P; + + fllt_tree(P, V) upper_tree; + fllt_tree(P, V) lower_tree; + image2d<fllt_node(P, V)*> low_reg(ima.domain()); + image2d<fllt_node(P, V)*> upp_reg(ima.domain()); + + std::cout << "1/ Compute the lower level set." << std::endl; + lower_tree = compute_level_set<V, lower<V> >(ima, low_reg); + //draw_tree(ima, lower_tree); + std::cout << "2/ Compute the upper level set." << std::endl; + upper_tree = compute_level_set<V, upper<V> >(ima, upp_reg); + + //draw_tree(ima, upper_tree); + + std::cout << "3/ Merge the two trees." << std::endl; + + // FIXME : the algorithm is contrast invariant. + // -> the both calls have to give the same result + // -> check it. + // FIXME : call merge_tree one time will be enough. + std::cout << "upp_reg = " << &upp_reg << std::endl; + std::cout << "low_reg = " << &low_reg << std::endl; + + //fllt_tree(P, V) result_tree = merge_trees(upper_tree, lower_tree, upp_reg, low_reg, ima); + fllt_tree(P, V) result_tree = merge_trees(lower_tree, upper_tree, low_reg, upp_reg, ima); + + + std::cout << "4/ Generate outputs." << std::endl; + + image2d<value::int_u8> output (ima.domain ()); + util::tree_to_image (result_tree, output); + + + // io::pgm::save(output, "out_final.pgm"); + // std::cout << "out_final.pgm generate" + // << std::endl; + + + // util::display_tree(ima, lower_tree); + //draw_tree(ima, result_tree); + + // debug::println(ima); + // debug::println(output); + + // if (output != ima) + // { + // std::cerr << "BUG!!!" << std::endl; + // abort(); + // } + + image2d<value::int_u8> viz(ima.domain()); + // image2d<value::int_u8> viz2(ima.domain()); + + // visualize_deepness(viz, lower_tree); + // level::stretch(viz, viz2); + // debug::println(viz); + // debug::println(viz2); + // io::pgm::save(viz2, "fllt.pgm"); + + visualize_bounds(viz, result_tree, 200); + //debug::println(viz); + io::pgm::save(viz, "fllt_bounds_200.pgm"); + + visualize_bounds(viz, result_tree, 100); + io::pgm::save(viz, "fllt_bounds_100.pgm"); + + visualize_bounds(viz, result_tree, 50); + io::pgm::save(viz, "fllt_bounds_50.pgm"); + + visualize_bounds(viz, result_tree, 20); + io::pgm::save(viz, "fllt_bounds_20.pgm"); + + visualize_bounds(viz, result_tree, 8); + io::pgm::save(viz, "fllt_bounds_8.pgm"); + + } + + } // end of namespace mln::fllt + +} // end of namespace mln + + + +#endif // ! MLN_FIXME_FLLT_HH