[Olena-patches] olena-2.0-93-g146727e Backup

--- scribo/src/binarization/kim.cc | 347 ++++++++++++++++++++++++++++++++++++++++ 1 files changed, 347 insertions(+), 0 deletions(-) create mode 100644 scribo/src/binarization/kim.cc diff --git a/scribo/src/binarization/kim.cc b/scribo/src/binarization/kim.cc new file mode 100644 index 0000000..4596990 --- /dev/null +++ b/scribo/src/binarization/kim.cc @@ -0,0 +1,347 @@ +// Copyright (C) 2012 EPITA Research and Development Laboratory (LRDE) +// +// This file is part of Olena. +// +// Olena is free software: you can redistribute it and/or modify it under +// the terms of the GNU General Public License as published by the Free +// Software Foundation, version 2 of the License. +// +// Olena is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// General Public License for more details. +// +// You should have received a copy of the GNU General Public License +// along with Olena. If not, see <http://www.gnu.org/licenses/>. +// +// As a special exception, you may use this file as part of a free +// software project without restriction. Specifically, if other files +// instantiate templates or use macros or inline functions from this +// file, or you compile this file and link it with other files to produce +// an executable, this file does not by itself cause the resulting +// executable to be covered by the GNU General Public License. This +// exception does not however invalidate any other reasons why the +// executable file might be covered by the GNU General Public License. + +/// \file + +#include <cmath> +#include <mln/core/image/image2d.hh> +#include <mln/value/int_u8.hh> +#include <mln/io/magick/load.hh> +#include <mln/io/pbm/save.hh> +#include <mln/data/transform.hh> +#include <mln/fun/v2v/rgb_to_luma.hh> + +#include <scribo/binarization/sauvola_ms.hh> +#include <scribo/debug/option_parser.hh> +#include <scribo/debug/logger.hh> + +#include <scribo/util/integral_sum_sum2_functor.hh> + +#include <scribo/text/extract_lines.hh> +#include <scribo/debug/bboxes_enlarged_image.hh> +#include <algorithm> + + +static const scribo::debug::arg_data arg_desc[] = +{ + { "input.*", "An image." }, + { "output.pbm", "A binary image." }, + {0, 0} +}; + + +// --enable/disable-<name> +static const scribo::debug::toggle_data toggle_desc[] = +{ + // name, description, default value + {0, 0, false} +}; + + +// --<name> <args> +static const scribo::debug::opt_data opt_desc[] = +{ + // name, description, arguments, check args function, number of args, default arg + { "debug-prefix", "Enable debug image outputs. Prefix image name with that " + "given prefix.", "<prefix>", 0, 1, 0 }, + { "k", "Sauvola's formulae parameter", "<value>", 0, 1, "0.34" }, + { "s", "First subsampling ratio. Possible values: 2 or 3.", "ratio", + scribo::debug::check_sauvola_first_subsampling, 1, "3" }, + { "verbose", "Enable verbose mode", 0, 0, 0, 0 }, + { "win-size", "Window size at scale 1", "<size>", 0, 1, "101" }, + {0, 0, 0, 0, 0, 0} +}; + + + + + + +int main(int argc, char *argv[]) +{ + using namespace mln; + using namespace scribo; + + scribo::debug::option_parser options(arg_desc, toggle_desc, opt_desc); + + if (!options.parse(argc, argv)) + return 1; + + // Enable debug output. + if (options.is_set("debug-prefix")) + { + scribo::debug::logger().set_filename_prefix(options.opt_value("debug-prefix").c_str()); + scribo::debug::logger().set_level(scribo::debug::All); + } + + Magick::InitializeMagick(*argv); + + trace::entering("main"); + + + bool verbose = options.is_set("verbose"); + // Window size + unsigned w_1 = atoi(options.opt_value("win-size").c_str()); + // First subsampling scale. + unsigned s = atoi(options.opt_value("s").c_str()); + double k = atof(options.opt_value("k").c_str()); + + if (verbose) + std::cout << "Using w_1=" << w_1 << " - s=" << s + << " - k=" << k << std::endl; + + // Load + image2d<value::rgb8> input_1; + io::magick::load(input_1, options.arg("input.*")); + + // Convert to Gray level image. + image2d<value::int_u8> + input_1_gl = data::transform(input_1, + mln::fun::v2v::rgb_to_luma<value::int_u8>()); + + // 1st simple binarization + image2d<bool> + output = scribo::binarization::sauvola_ms(input_1_gl, w_1, s, k); + + io::pbm::save(output, "debug_bin.pbm"); + + // Compute integral image + scribo::util::integral_sum_sum2_functor<value::int_u8,double> f_sum_sum2; + image2d<mln::util::couple<double,double> > + integral_sum_sum_2 = scribo::util::init_integral_image(input_1_gl, 1, f_sum_sum2); + + // Find text lines + line_set<image2d<scribo::def::lbl_type> > + lines = scribo::text::extract_lines(output, c8()); + + typedef scribo::def::lbl_type V; + typedef image2d<V> L; + mln::util::array<unsigned> thickness(lines.nelements() + 1, 0); + const component_set<L>& comp_set = lines.components(); + const L& lbl = comp_set.labeled_image(); + + // Compute run-lengths histogram in order to compute character + // thickness for each line. + for_all_lines(i, lines) + { + if (!lines(i).is_textline()) + continue; + + std::map<unsigned, unsigned> histo; + int count = 0; + for (int l = lines(i).bbox().pmin().row(); l <= lines(i).bbox().pmax().row(); ++l) + { + const V* end_ptr = &lbl.at_(l, lines(i).bbox().pmax().col() + 1); + for (const V* run_ptr = &lbl.at_(l, lines(i).bbox().pmin().col()); run_ptr != end_ptr; ++run_ptr) + if (*run_ptr) + ++count; + else + if (count) + { + if (histo.find(count) != histo.end()) + histo[count]++; + else + histo.insert(std::make_pair(count, 1)); + count = 0; + } + } + + unsigned max = 0; + unsigned thick = 0; + for (std::map<unsigned, unsigned>::const_iterator it = histo.begin(); it != histo.end(); ++it) + if (it->second > max) + { + max = it->second; + thick = it->first; + } + + thickness(lines(i).id()) = thick; + std::cout << "line " << i << " - thickness = " << thick << " - height = " << lines(i).x_height() << std::endl; + } + + // std::cout << "integral_sum_sum_2.domain() = " << integral_sum_sum_2.domain() << std::endl; + + // FIXME: To be removed. + extension::adjust_duplicate(integral_sum_sum_2, 50); + + for_all_lines(i, lines) + { + if (!lines(i).is_textline()) + continue; + + math::round<double> round; + double + win_min = round(std::max(thickness(lines(i).id()),2u) / 2.0), + win_max = round(std::max(lines(i).x_height(),2u) / 2.0), + card_min, + card_max; + + if (win_min == 0) + { + std::cout << "win_min == 0 - thickness = " << thickness(lines(i).id()) << std::endl; + abort(); + } + + if (win_max == 0) + { + std::cout << "win_max == 0 - x_height = " << lines(i).x_height() << std::endl; + abort(); + } + + + binarization::internal::sauvola_formula compute_thres; + + + // std::cout << "<<<<<<<<<<<<<< New line" << std::endl; + + mln_piter(L) p(lines(i).bbox()); + for_all(p) + { + accu::shape::bbox<point2d> accu; + point2d tl, br; + + // Min case + tl.row() = (p.row() - win_min - 1); + tl.col() = (p.col() - win_min - 1); + + br.row() = (p.row() + win_min); + br.col() = (p.col() + win_min); + + accu.take(tl); + accu.take(br); + box2d b = accu.to_result(); + b.crop_wrt(integral_sum_sum_2.domain()); + + point2d tr = b.pmax(); + tr.row() = b.pmin().row(); + point2d bl = b.pmin(); + bl.row() = b.pmax().row(); + + { + accu::shape::bbox<point2d> accu; + point2d tl, br; + + tl.row() = (p.row() - win_min); + tl.col() = (p.col() - win_min); + + br.row() = (p.row() + win_min); + br.col() = (p.col() + win_min); + + accu.take(tl); + accu.take(br); + box2d b = accu.to_result(); + b.crop_wrt(input_1_gl.domain()); + card_min = b.nsites(); + } + + // std::cout << "p = " << p << " - box = " << b << " - nsites = " << b.nsites() << " - card_min = " << card_min << std::endl; + + double sum = integral_sum_sum_2(b.pmax()).first() - integral_sum_sum_2(tr).first() - integral_sum_sum_2(bl).first() + integral_sum_sum_2(b.pmin()).first(); + double sum_2 = integral_sum_sum_2(b.pmax()).second() - integral_sum_sum_2(tr).second() - integral_sum_sum_2(bl).second() + integral_sum_sum_2(b.pmin()).second(); + double mean = sum / card_min; + + double num = (sum_2 - sum * sum / card_min); + double stddev = 0; + if (num > 0) + stddev = std::sqrt(num / (card_min - 1)); + else + stddev = 0; + + + double T_min = compute_thres(mean, stddev); + + // Max case + accu.init(); + tl.row() = (p.row() - win_max - 1); + tl.col() = (p.col() - win_max - 1); + + br.row() = (p.row() + win_max); + br.col() = (p.col() + win_max); + + accu.take(tl); + accu.take(br); + b = accu.to_result(); + b.crop_wrt(integral_sum_sum_2.domain()); + + tr = b.pmax(); + tr.row() = b.pmin().row(); + bl = b.pmin(); + bl.row() = b.pmax().row(); + + { + accu::shape::bbox<point2d> accu; + point2d tl, br; + + tl.row() = (p.row() - win_max); + tl.col() = (p.col() - win_max); + + br.row() = (p.row() + win_max); + br.col() = (p.col() + win_max); + + accu.take(tl); + accu.take(br); + box2d b = accu.to_result(); + b.crop_wrt(input_1_gl.domain()); + card_max = b.nsites(); + + // std::cout << "card_max = " << card_max << " - b = " << b << std::endl; + } + + sum = integral_sum_sum_2(b.pmax()).first() - integral_sum_sum_2(tr).first() - integral_sum_sum_2(bl).first() + integral_sum_sum_2(b.pmin()).first(); + sum_2 = integral_sum_sum_2(b.pmax()).second() - integral_sum_sum_2(tr).second() - integral_sum_sum_2(bl).second() + integral_sum_sum_2(b.pmin()).second(); + mean = sum / card_max; + + num = (sum_2 - sum * sum / card_max); + stddev = 0; + if (num > 0) + stddev = std::sqrt(num / (card_max - 1)); + else + stddev = 0; + + double T_max = compute_thres(mean, stddev); + + + // Final threshold + + double teta = 0.3; + double T = teta * T_max + (1 - teta) * T_min; + +// std::cout << "bbox = " << lines(i).bbox() << " - box = " << b << " - T_max = " << T_max << " - T_min = " << T_min << " - T = " << T << std::endl; + mln_assertion(T_min <= 255); + mln_assertion(T_max <= 255); + mln_assertion(T <= 255); + + output(p) = input_1_gl(p) <= T; + } + + } + + + image2d<value::rgb8> bbox = scribo::debug::bboxes_enlarged_image(output, lines); + io::ppm::save(bbox, "debug_bbox.ppm"); + + + io::pbm::save(output, options.arg("output.pbm")); +} -- 1.7.2.5