Es++ Sample: AdaptiveImageThresholding |
/****************************************************************************** * * Copyright (c) 2017 Antillia.com TOSHIYUKI ARAI. ALL RIGHTS RESERVED. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * 1. Redistributions of source code must retain the above copyright * notice, this list of conditions, and the following disclaimer. * * 2. The name of the author may not be used to endorse or promote products * derived from this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES * OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. * IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR * OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * * * AdaptiveImageThresholding.cpp * *****************************************************************************/ // #include <es++/Pair.h> #include <es++/gtkmm-3.0/Application.h> #include <es++/gtkmm-3.0/Label.h> #include <es++/gtkmm-3.0/LabeledTrackBar.h> #include <es++/gtkmm-3.0/FileOpenDialog.h> #include <es++/opencv-4.0/OpenCVMainView.h> #include <es++/opencv-4.0/OpenCVScrolledImageView.h> #include <es++/opencv-4.0/OpenCVScaleComboBox.h> using namespace Gtk; namespace Es { class MainView :public Es::OpenCVMainView { private: /////////////////////////////////////////////////////// //Inner classes start. class OriginalImageView :public Es::OpenCVScrolledImageView { public: OriginalImageView() { } void rescale(int scaling_ratio) { OpenCVScrolledImageView::scaleImage(scaling_ratio); } }; class BinarizedImageView :public Es::OpenCVScrolledImageView { private: cv::Mat gray_image; cv::Mat binarized_image; static const int MAX_PIXEL_VALUE = 255; static const int C = 9; //Constant subtracted from the mean or weighted mean public: BinarizedImageView() { } void loadImage(const std::string& filename, int imageLoadingFlag= CV_LOAD_IMAGE_COLOR, int scaling_ratio=100) { OpenCVScrolledImageView::loadImage(filename, imageLoadingFlag, scaling_ratio); cv::Mat& original_image = getOriginalImage(); cv::cvtColor(original_image, gray_image, COLOR_BGR2GRAY); binarized_image = gray_image.clone(); scaleImage(binarized_image, scaling_ratio); } void binarize(int adaptive_method, int threshold_type, int block_size, int scaling_ratio) { block_size = (block_size/2)*2 + 1; try { block_size = (block_size/2)*2 + 1; if (block_size <3) { block_size=3; } cv::adaptiveThreshold(gray_image, binarized_image, MAX_PIXEL_VALUE, adaptive_method, threshold_type, block_size, (double)C); } catch (cv::Exception& ex) { //Sometimes we get an exception; I don't know the reason why it happens. } scaleImage(binarized_image, scaling_ratio); } void rescale(int scaling_ratio) { OpenCVScrolledImageView::scaleImage(binarized_image, scaling_ratio); } }; // Inner classes end. /////////////////////////////////////////////////////// Es::Label filepath; Es::HorizontalLayout horiz_layout; Es::VerticalLayout control_pane; OriginalImageView original_image; BinarizedImageView binarized_image; int loading_flag; Es::OpenCVScaleComboBox scale_combobox; int adaptive_method; Es::LabeledComboBox adaptive_method_combobox; int threshold_type; Es::LabeledComboBox threshold_type_combobox; static const int BLOCK_SIZE_MIN = 3; static const int BLOCK_SIZE_MAX = 43; int block_size; Es::LabeledTrackBar block_size_trackbar; int scaling_ratio; //Percentage. static const int CONTROLPANE_WIDTH = 180; std::string filename; Es::FileOpenDialog file_dialog; public: ////////////////////////////////////////////// //Constructor // MainView(Es::Application& applet, std::string& name, Es::Args& args) :OpenCVMainView(applet, name, args) ,scaling_ratio(100) //100% ,file_dialog(*this, FileOpenDialog::IMAGE_FILES) { int w = (int)args.get(XmNwidth); int h = (int)args.get(XmNheight); int ratio = (int)args.get(XmNscalingRatio); scaling_ratio = OpenCVImageView::validateScale(ratio); Es::MainLayout& main_layout = get_main_layout(); main_layout.pack_start(filepath, FALSE, FALSE, 0); main_layout.pack_start(horiz_layout); filename = "../../images/flower.png"; filepath.set_label(filename); int ww = (w - CONTROLPANE_WIDTH)/2; filepath.set_size_request(w, 30); original_image.set_size_request(ww, h); binarized_image.set_size_request(ww, h); control_pane.set_size_request( CONTROLPANE_WIDTH, h); horiz_layout.pack_start(original_image); horiz_layout.pack_start(binarized_image); horiz_layout.pack_start(control_pane, FALSE, FALSE, 0); scale_combobox.set_selection(scaling_ratio); //Create an adaptiveMethodComboBox in controlPane. const char* methods[] = { "Adaptive_Thresh Mean_C", "Adaptive_Thresh_Gaussian_C", }; adaptive_method = cv::ADAPTIVE_THRESH_MEAN_C; adaptive_method_combobox.set_label("Adaptive Method"); adaptive_method_combobox.append_items(methods, CountOf(methods)); adaptive_method_combobox.set_active_text(methods[0]); adaptive_method_combobox.set_changed_callback( sigc::mem_fun(*this, &MainView::adaptive_method_changed)); const char* types[] = { "Binary", "Binary Inverted", }; threshold_type = cv::THRESH_BINARY; threshold_type_combobox.set_label("Threshold Type"); threshold_type_combobox.append_items(types, CountOf(types)); threshold_type_combobox.set_active_text(types[0]); threshold_type_combobox.set_changed_callback( sigc::mem_fun(*this, &MainView::threshold_type_changed)); block_size = 10; block_size_trackbar.set_label("BlockSize: [3, 43]"); block_size_trackbar.configure_adjuster(10.0f, 3.0f, 43.0f); block_size_trackbar.set_value_changed_callback( sigc::mem_fun(*this, &MainView::trackbar_value_changed) ); control_pane.set_spacing(20); control_pane.pack_start(scale_combobox, Gtk::PACK_SHRINK); control_pane.pack_start(adaptive_method_combobox, Gtk::PACK_SHRINK); control_pane.pack_start(threshold_type_combobox, Gtk::PACK_SHRINK); control_pane.pack_start(block_size_trackbar, Gtk::PACK_SHRINK); scale_combobox.set_changed_callback( sigc::mem_fun(*this, &MainView::scale_changed) ); loading_flag = IMREAD_COLOR; original_image.loadImage(filename, loading_flag, scaling_ratio); binarized_image.loadImage(filename, loading_flag, scaling_ratio); binarized_image.binarize(adaptive_method, threshold_type, block_size, scaling_ratio); show_all(); } void scale_changed() { std::string scale = scale_combobox.get_active_text(); printf("scale_changed %s\n", scale.c_str()); scaling_ratio = scale_combobox.get_selection(); original_image.rescale(scaling_ratio); binarized_image.rescale(scaling_ratio); } void adaptive_method_changed() { Es::Pair<int, const char*> methods[] = { {cv::ADAPTIVE_THRESH_MEAN_C, "Adaptive_Thresh Mean_C"}, {cv::ADAPTIVE_THRESH_GAUSSIAN_C, "Adaptive_Thresh_Gaussian_C"}, }; std::string text = adaptive_method_combobox.get_active_text(); const char* item = text.c_str(); for (size_t i = 0; i<CountOf(methods); i++) { if (strcmp(methods[i].second, item) == 0) { adaptive_method = methods[i].first; break; } } printf("adaptive_method %s\n", text.c_str()); binarized_image.binarize(adaptive_method, threshold_type, block_size, scaling_ratio); } void threshold_type_changed() { Es::Pair<int, const char*> types[] = { {cv::THRESH_BINARY, "Binary"}, {cv::THRESH_BINARY_INV, "Binary Inverted"}, }; std::string text = threshold_type_combobox.get_active_text(); const char* item = text.c_str(); for (size_t i = 0; i<CountOf(types); i++) { if (strcmp(types[i].second, item) == 0) { threshold_type = types[i].first; } } printf("threshold_type %s\n", text.c_str()); binarized_image.binarize(adaptive_method, threshold_type, block_size, scaling_ratio); } void trackbar_value_changed() { block_size = (int)block_size_trackbar.get_value(); binarized_image.binarize(adaptive_method, threshold_type, block_size, scaling_ratio); } void file_open() { int rc = file_dialog.popup(); if (rc == Gtk::RESPONSE_OK) { const std::string filename = file_dialog.get_filename(); filepath.set_label(filename); original_image.loadImage(filename, loading_flag, scaling_ratio); binarized_image.loadImage(filename, loading_flag, scaling_ratio); binarized_image.binarize(adaptive_method, threshold_type, block_size, scaling_ratio); } } }; } int main(int argc, char** argv) { Es::Environment env; try { std::string name = argv[0]; Es::Application applet(argc, argv); Es::Args args; args.set(XmNx, 20); args.set(XmNy, 40); args.set(XmNwidth, 900); args.set(XmNheight, 400); args.set(XmNscalingRatio, 60); //60% Es::MainView mainv(applet, name, args); mainv.show(); applet.run(mainv); } catch (Es::Exception& ex) { caught(ex); } catch (...) { printf("Get exception \n"); } return 0; }