| 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;
}