/****************************************************************************** * * Copyright (c) 2019 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 * *****************************************************************************/ //2017/05/15 #include <opencv2/stitching.hpp> #include <oz++/Pair.h> #include <oz++/motif/Label.h> #include <oz++/motif/RowColumn.h> #include <oz++/motif/LabeledTrackBar.h> #include <oz++/opencv/OpenCVScaleComboBox.h> #include <oz++/opencv/OpenCVMainView.h> #include <oz++/opencv/OpenCVImageView.h> #include <oz++/motif/FileOpenDialog.h> namespace OZ { class MainView :public OpenCVMainView { private: /////////////////////////////////////////////// //Inner classes start. class OriginalImageView: public OpenCVImageView { private: cv::Mat originalImage; cv::Mat scaledImage; virtual void display() { show(scaledImage); } public: OriginalImageView(View* parent, const char* name, Args& args) :OpenCVImageView(parent, name, args) { try { const char* filename = (const char*)args.get(XmNimageFileName); int imageLoadingFlag = args.get(XmNimageLoadingFlag); int scalingRatio = (int)args.get(XmNimageScalingRatio); loadImage(filename, imageLoadingFlag, scalingRatio); } catch (OZ::Exception ex) { caught(ex); } } ~OriginalImageView() { } void loadImage(const char* filename, int imageLoadingFlag= CV_LOAD_IMAGE_COLOR, int scalingRatio=100) { originalImage = readImage(filename, imageLoadingFlag); scaleImage(originalImage, scaledImage, scalingRatio); } void rescale(int scalingRatio) { scaledImage.release(); scaleImage(originalImage, scaledImage, scalingRatio); } }; class BinarizedImageView: public OpenCVImageView { private: cv::Mat originalImage; cv::Mat destImage; cv::Mat grayImage; cv::Mat scaledImage; static const int MAX_PIXEL_VALUE = 255; static const int C = 9; //Constant subtracted from the mean or weighted mean //The scale image is displayed on this image view. virtual void display() { show(scaledImage); } public: BinarizedImageView(View* parent, const char* name, Args& args) :OpenCVImageView(parent, name, args) { try { const char* filename = (const char*)args.get(XmNimageFileName); int imageLoadingFlag = args.get(XmNimageLoadingFlag); int scalingRatio = (int)args.get(XmNimageScalingRatio); loadImage(filename, imageLoadingFlag, scalingRatio); } catch (OZ::Exception ex) { caught(ex); } } ~BinarizedImageView() { } void loadImage(const char* filename, int imageLoadingFlag= CV_LOAD_IMAGE_COLOR, int scalingRatio=100) { originalImage = readImage(filename, imageLoadingFlag); cv::cvtColor( originalImage, grayImage, COLOR_BGR2GRAY); refresh(); } void rescale(int scalingRatio) { scaledImage.release(); scaleImage(destImage, scaledImage, scalingRatio); } void binarize(int adaptiveMethod, int thresholdType, int blockSize, int scalingRatio) { try { blockSize = (blockSize/2)*2 + 1; if (blockSize <3) { blockSize=3; } cv::adaptiveThreshold( grayImage, destImage, MAX_PIXEL_VALUE, adaptiveMethod, thresholdType, blockSize, (double)C); } catch (cv::Exception& ex) { //Sometimes we get an exception; I don't know the reason why it happens. } scaleImage(destImage, scaledImage, scalingRatio); } }; //Inner classes end. private: StringT<char> imageFile; int imageLoadingFlag; int imageScalingRatio; //percentage SmartPtr<Label> label; SmartPtr<OriginalImageView> originalImage; SmartPtr<BinarizedImageView> binarizedImage; SmartPtr<RowColumn> controlPane; SmartPtr<OpenCVScaleComboBox> scaleComboBox; int adaptiveMethodIndex; SmartPtr<LabeledComboBox> adaptiveMethodComboBox; int thresholdTypeIndex; SmartPtr<LabeledComboBox> thresholdTypeComboBox; static const int BLOCK_SIZE_MIN = 3; static const int BLOCK_SIZE_MAX = 43; int blockSize; SmartPtr<LabeledTrackBar> blockSizeTrackBar; SmartPtr<FileOpenDialog> fileDialog; public: void scaleChanged(Action& action) { int val = scaleComboBox->getScale(); if (val > 0 && imageScalingRatio != val) { imageScalingRatio = val; originalImage -> rescale(imageScalingRatio); binarizedImage -> rescale(imageScalingRatio); } } static int getAdaptiveMethod(int index) { int n = 0; //We don't include the THRESH_OTSU type Pair<int, int> methods[] = { {n++, ADAPTIVE_THRESH_MEAN_C}, {n++, ADAPTIVE_THRESH_GAUSSIAN_C}, }; int method = ADAPTIVE_THRESH_MEAN_C; if (index >= 0 && index <n) { method = methods[index].second; } return method; } static int getThresholdType(int index) { int n = 0; Pair<int, int> types[] = { {n++, cv::THRESH_BINARY }, {n++, cv::THRESH_BINARY_INV }, }; int type = THRESH_BINARY; if (index >= 0 && index <n) { type = types[index].second; } return type; } void adaptiveMethodSelChanged(Action& event) { adaptiveMethodIndex = adaptiveMethodComboBox -> getSelectedPosition(); thresholdTypeIndex = thresholdTypeComboBox -> getSelectedPosition(); blockSize = blockSizeTrackBar -> getPosition(); binarizedImage -> binarize( getAdaptiveMethod(adaptiveMethodIndex), getThresholdType(thresholdTypeIndex), blockSize, imageScalingRatio ); } void thresholdTypeSelChanged(Action& event) { adaptiveMethodIndex = adaptiveMethodComboBox -> getSelectedPosition(); thresholdTypeIndex = thresholdTypeComboBox -> getSelectedPosition(); blockSize = blockSizeTrackBar -> getPosition(); binarizedImage -> binarize( getAdaptiveMethod(adaptiveMethodIndex), getThresholdType(thresholdTypeIndex), blockSize, imageScalingRatio); } void trackBarScrolled(Action& event) { adaptiveMethodIndex = adaptiveMethodComboBox -> getSelectedPosition(); thresholdTypeIndex = thresholdTypeComboBox -> getSelectedPosition(); blockSize = blockSizeTrackBar -> getPosition(); binarizedImage -> binarize( getAdaptiveMethod(adaptiveMethodIndex), getThresholdType(thresholdTypeIndex), blockSize, imageScalingRatio); } void fileOpen(Action& action) { fileDialog->popup(); } void updateLabel(const char* filename) { CompoundString cs(filename); label->set(XmNlabelString, cs); } void ok(Action& action) { imageFile = fileDialog->getFileName(); const char* filename = (const char*)imageFile; printf("filename: %s\n", filename); fileDialog->popdown(); bool result = true; try { originalImage->invalidate(); originalImage->loadImage(filename, imageLoadingFlag, imageScalingRatio); originalImage->invalidate(); binarizedImage ->loadImage(filename, imageLoadingFlag, imageScalingRatio); binarizedImage -> binarize( getAdaptiveMethod(adaptiveMethodIndex), getThresholdType(thresholdTypeIndex), blockSize, imageScalingRatio ); updateLabel(filename); resize(width(), height()); flush(); } catch (OZ::Exception& ex) { caught(ex); } } void resize(Dimension w, Dimension h) { int CP_WIDTH = 200; int LB_HEIGHT = 30; int ww = w-CP_WIDTH; int hh = h - LB_HEIGHT; if (label && originalImage && binarizedImage && controlPane ) { label -> reshape(0, 0, w, LB_HEIGHT); originalImage-> reshape(0, LB_HEIGHT, ww/2, hh); binarizedImage -> reshape(ww/2, LB_HEIGHT, ww/2-1, hh); controlPane -> reshape(ww-1, LB_HEIGHT, CP_WIDTH+1, hh); //The following two lines are a workaround to erase garbage. controlPane -> unmap(); controlPane -> map(); } flush(); } public: MainView(OpenCVApplication& applet, const char* name, Args& args) :OpenCVMainView(applet, name, args) { BulletinBoard* bboard = getBulletinBoard(); imageFile = "../images/GinzaWako.png"; imageLoadingFlag = CV_LOAD_IMAGE_COLOR; imageScalingRatio = 60; //% try { Args ar; CompoundString fileNamecs(imageFile); ar.set(XmNlabelString, fileNamecs); ar.set(XmNalignment, XmALIGNMENT_BEGINNING); label = new Label(bboard, "", ar); ar.reset(); ar.set(XmNimageFileName, imageFile); ar.set(XmNimageLoadingFlag, imageLoadingFlag); ar.set(XmNimageScalingRatio, imageScalingRatio); originalImage = new OriginalImageView(bboard, "", ar); ar.reset(); ar.set(XmNimageFileName, imageFile); ar.set(XmNimageLoadingFlag, imageLoadingFlag); ar.set(XmNimageScalingRatio, imageScalingRatio); binarizedImage = new BinarizedImageView(bboard, "", ar); ar.reset(); controlPane = new RowColumn(bboard, "", ar); //Create a scaleComboBox in the controlPane const char* defaultScale = "60%"; ar.reset(); CompoundString scaler("Scale"); ar.set(XmNlabelString, scaler); ar.set(XmNdefaultScale, defaultScale); scaleComboBox = new OpenCVScaleComboBox(controlPane, "", ar); scaleComboBox->addCallback(XmNselectionCallback, this, (Callback)&MainView::scaleChanged, NULL); //Create an adaptiveMethodComboBox in controlPane. const char* methods[] = { "Adaptive_Thresh Mean_C", "Adaptive_Thresh_Gaussian_C", }; CompoundStringList csl(methods, CountOf(methods)); adaptiveMethodIndex = 0; ar.reset(); ar.set(XmNitems, csl); ar.set(XmNselectedPosition, adaptiveMethodIndex); ar.set(XmNitemCount, CountOf(methods)); adaptiveMethodComboBox = new LabeledComboBox(controlPane, "", ar); //Add a selChanged callback. adaptiveMethodComboBox -> addCallback(XmNselectionCallback, this, (Callback)&MainView::adaptiveMethodSelChanged, NULL); //Create a thresholdTypeComboBox in controlPane. const char* types[] = { "Binary", "Binary Inverted", }; thresholdTypeIndex = 0; CompoundStringList typescsl(types, CountOf(types)); ar.reset(); ar.set(XmNitems, typescsl); ar.set(XmNselectedPosition, thresholdTypeIndex); ar.set(XmNitemCount, CountOf(methods)); thresholdTypeComboBox = new LabeledComboBox(controlPane, "", ar); //Add a selChanged callback. thresholdTypeComboBox -> addCallback(XmNselectionCallback, this, (Callback)&MainView::thresholdTypeSelChanged, NULL); //Create a blockSizeTrackBar in controlPane. CompoundString titlecs("BlockValue:[3,43]"); blockSize = 7; ar.reset(); ar.set(XmNtitleString, titlecs); ar.set(XmNminimum, BLOCK_SIZE_MIN); //3); ar.set(XmNmaximum, BLOCK_SIZE_MAX); ar.set(XmNvalue, blockSize); blockSizeTrackBar = new LabeledTrackBar(controlPane, "BlockValue", ar); blockSizeTrackBar -> addCallback(XmNvalueChangedCallback, this, (Callback)&MainView::trackBarScrolled, NULL); binarizedImage -> binarize( getAdaptiveMethod(adaptiveMethodIndex), getThresholdType(thresholdTypeIndex), blockSize, imageScalingRatio ); ar.reset(); fileDialog = new FileOpenDialog(this, "FileOpenDialog", ar); fileDialog -> getOkButton() -> addCallback(XmNactivateCallback, this, (Callback)&MainView::ok, NULL); sendConfigureEvent(); } catch(OZ::Exception& ex) { caught(ex); } } ~MainView() { } }; } // int main(int argc, char** argv) { try { const char* appclass = argv[0]; OpenCVApplication applet(appclass, argc, argv); Args args; args.set(XmNwidth, 900); args.set(XmNheight, 380); MainView view(applet, argv[0], args); view.realize(); applet.run(); } catch (OZ::Exception& ex) { caught(ex); } return 0; }