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ImageViewer.cpp
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ImageViewer.cpp
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/*
* ImageViewer.cpp
*
* Created on: Dec 15, 2016
* Author: linh
*/
#include <iostream>
#include <fstream>
#include <vector>
#include <math.h>
#include <cmath>
#include <fstream>
#include <stdio.h>
#include <stdlib.h>
#include <dirent.h>
#include <string>
#include <algorithm>
#include <iosfwd>
#include <memory>
#include <utility>
using namespace std;
//using namespace caffe; // NOLINT(build/namespaces)
using std::string;
#include <QtGui/QApplication>
#include <QtGui/QScrollBar>
#include <QtGui/QFileDialog>
#include <QtGui/QMessageBox>
#include <QtGui/QPrintDialog>
#include <QtGui/QAction>
#include <QtGui/QMenuBar>
#include <QtGui/QPainter>
#include <QtGui/QCloseEvent>
#include <QtCore/QSettings>
#include <QtGui/QStatusBar>
#include <QtGui/QToolBar>
#include <QtGui/QMessageBox>
#include <QtCore/QDebug>
#include <QtGui/QIcon>
#include <QtGui/qwidget.h>
#include "../imageModel/Point.h"
#include "../imageModel/Line.h"
#include "../imageModel/Edge.h"
#include "../imageModel/Matrix.h"
#include "../io/Reader.h"
#include "../segmentation/Thresholds.h"
#include "../segmentation/Canny.h"
#include "../segmentation/Suzuki.h"
#include "../imageModel/Image.h"
//Classif---------------->
/*#include <../../caffe/caffe/caffe.hpp>
#ifdef USE_OPENCV
#include <../../caffe/opencv2/core/core.hpp>
#include <../../caffe/opencv2/highgui/highgui.hpp>
#include <../../caffe/opencv2/imgproc/imgproc.hpp>
#endif // USE_OPENCV
*/
#include "../pht/GHTInPoint.h"
#include "../pht/PHTEntry.h"
#include "../pht/PHoughTransform.h"
#include "../pht/ICP.h"
#include "../histograms/ShapeHistogram.h"
#include "../pointInterest/Treatments.h"
#include "../pointInterest/Segmentation.h"
#include "../pointInterest/ProHoughTransform.h"
#include "../pointInterest/LandmarkDetection.h"
#include "../utils/ImageConvert.h"
#include "../utils/Drawing.h"
#include "../utils/Converter.h"
#include "../correlation/CrossCorrelation.h"
#include "../MAELab.h"
#include "ImageViewer.h"
#define absolute_MAELab_path ("/home/kevin/MAELab")
#define relative_caffe_path_from_MAELab "../caffe"
void ImageViewer::createFileMenu()
{
openAct = new QAction(QIcon("./resources/ico/open.png"), tr("&Open..."),
this);
openAct->setShortcuts(QKeySequence::Open);
openAct->setStatusTip(tr("Open an existing file"));
connect(openAct, SIGNAL(triggered()), this, SLOT(open()));
saveAct = new QAction(QIcon("./resources/ico/save.png"), tr("&Save"), this);
saveAct->setShortcuts(QKeySequence::Save);
saveAct->setStatusTip(tr("Save the document to disk"));
saveAct->setEnabled(false);
connect(saveAct, SIGNAL(triggered()), this, SLOT(save()));
saveAsAct = new QAction(tr("Save &As..."), this);
saveAsAct->setShortcuts(QKeySequence::SaveAs);
saveAsAct->setStatusTip(tr("Save the document under a new name"));
saveAsAct->setEnabled(false);
connect(saveAsAct, SIGNAL(triggered()), this, SLOT(saveAs()));
closeAct = new QAction(tr("&Close"), this);
closeAct->setShortcut(tr("Ctrl+W"));
closeAct->setStatusTip(tr("Close this window"));
connect(closeAct, SIGNAL(triggered()), this, SLOT(close()));
exitAct = new QAction(tr("E&xit"), this);
exitAct->setShortcuts(QKeySequence::Quit);
exitAct->setStatusTip(tr("Exit the application"));
connect(exitAct, SIGNAL(triggered()), qApp, SLOT(closeAllWindows()));
}
void ImageViewer::createViewMenu()
{
zoomInAct = new QAction(QIcon("./resources/ico/1uparrow.png"),
tr("Zoom &In (25%)"), this);
zoomInAct->setShortcut(tr("Ctrl++"));
zoomInAct->setEnabled(false);
connect(zoomInAct, SIGNAL(triggered()), this, SLOT(zoomIn()));
zoomOutAct = new QAction(QIcon("./resources/ico/1downarrow.png"),
tr("Zoom &Out (25%)"), this);
zoomOutAct->setShortcut(tr("Ctrl+-"));
zoomOutAct->setEnabled(false);
connect(zoomOutAct, SIGNAL(triggered()), this, SLOT(zoomOut()));
normalSizeAct = new QAction(tr("&Normal Size"), this);
normalSizeAct->setShortcut(tr("Ctrl+N"));
normalSizeAct->setEnabled(false);
connect(normalSizeAct, SIGNAL(triggered()), this, SLOT(normalSize()));
fitToWindowAct = new QAction(tr("&Fit to Window"), this);
fitToWindowAct->setEnabled(false);
fitToWindowAct->setCheckable(true);
fitToWindowAct->setShortcut(tr("Ctrl+J"));
connect(fitToWindowAct, SIGNAL(triggered()), this, SLOT(fitToWindow()));
displayMLandmarksAct = new QAction(tr("&Display manual landmarks"), this);
displayMLandmarksAct->setEnabled(false);
displayMLandmarksAct->setCheckable(true);
displayMLandmarksAct->setChecked(false);
connect(displayMLandmarksAct, SIGNAL(triggered()), this,
SLOT(displayManualLandmarks()));
displayALandmarksAct = new QAction(tr("&Display estimated landmarks"), this);
displayALandmarksAct->setEnabled(false);
displayALandmarksAct->setCheckable(true);
connect(displayALandmarksAct, SIGNAL(triggered()), this,
SLOT(displayAutoLandmarks()));
}
void ImageViewer::viewMenuUpdateActions()
{
zoomInAct->setEnabled(!fitToWindowAct->isChecked());
zoomOutAct->setEnabled(!fitToWindowAct->isChecked());
normalSizeAct->setEnabled(!fitToWindowAct->isChecked());
}
void ImageViewer::scaleImage(double factor)
{
Q_ASSERT(imageLabel->pixmap());
scaleFactor *= factor;
imageLabel->resize(scaleFactor * imageLabel->pixmap()->size());
adjustScrollBar(scrollArea->horizontalScrollBar(), factor);
adjustScrollBar(scrollArea->verticalScrollBar(), factor);
zoomInAct->setEnabled(scaleFactor < 3.0);
zoomOutAct->setEnabled(scaleFactor > 0.333);
}
void ImageViewer::adjustScrollBar(QScrollBar *scrollBar, double factor)
{
scrollBar->setValue(
int(
factor * scrollBar->value()
+ ((factor - 1) * scrollBar->pageStep() / 2)));
}
void ImageViewer::createHelpMenu()
{
aboutAct = new QAction(tr("&About MAELab"), this);
connect(aboutAct, SIGNAL(triggered()), this, SLOT(about()));
aboutClassifAct = new QAction(tr("&About Classification"), this);
connect(aboutClassifAct, SIGNAL(triggered()), this, SLOT(aboutClassif()));
}
//------------------>
void ImageViewer::createClassificationMenu()
{
classificationAct = new QAction(tr("&classification MAELab"), this);
connect(classificationAct, SIGNAL(triggered()), this, SLOT(classif()));
}
void ImageViewer::createSegmentationMenu()
{
binaryThresholdAct = new QAction(tr("&Binary threshold"), this);
binaryThresholdAct->setEnabled(false);
connect(binaryThresholdAct, SIGNAL(triggered()), this, SLOT(binThreshold()));
cannyAct = new QAction(tr("&Canny result"), this);
cannyAct->setEnabled(false);
connect(cannyAct, SIGNAL(triggered()), this, SLOT(cannyAlgorithm()));
suzukiAct = new QAction(tr("&Suzuki result"), this);
suzukiAct->setEnabled(false);
connect(suzukiAct, SIGNAL(triggered()), this, SLOT(suzukiAlgorithm()));
lineSegmentationAct = new QAction(tr("&View segmentation result"), this);
lineSegmentationAct->setEnabled(false);
connect(lineSegmentationAct, SIGNAL(triggered()), this,
SLOT(lineSegmentation()));
}
void ImageViewer::createLandmarksMenu()
{
/*phtAct = new QAction(tr("&Probabilistic Hough Transform"), this);
phtAct->setEnabled(false);
phtAct->setShortcut(tr("Ctrl+P"));
connect(phtAct, SIGNAL(triggered()), this, SLOT(pHoughTransform()));*/
phtPointsAct = new QAction(tr("&Generalizing Hough Transform"), this);
phtPointsAct->setEnabled(false);
phtPointsAct->setShortcut(tr("Ctrl+G"));
connect(phtPointsAct, SIGNAL(triggered()), this, SLOT(gHoughTransform()));
autoLandmarksAct = new QAction(tr("&Probabilistic Hough Transform"), this);
autoLandmarksAct->setEnabled(false);
autoLandmarksAct->setShortcut(tr("Ctrl+L"));
connect(autoLandmarksAct, SIGNAL(triggered()), this,
SLOT(extractLandmarks()));
measureMBaryAct = new QAction(tr("&Measure manual centroid"), this);
measureMBaryAct->setEnabled(false);
connect(measureMBaryAct, SIGNAL(triggered()), this, SLOT(measureMBary()));
measureEBaryAct = new QAction(tr("&Measure estimated centroid"), this);
measureEBaryAct->setEnabled(false);
connect(measureEBaryAct, SIGNAL(triggered()), this, SLOT(measureEBary()));
dirAutoLandmarksAct = new QAction(tr("Compute automatic landmarks on folder"),
this);
dirAutoLandmarksAct->setEnabled(false);
connect(dirAutoLandmarksAct, SIGNAL(triggered()), this,
SLOT(dirAutoLandmarks()));
dirCentroidMeasureAct = new QAction(tr("Measure centroid on folder"), this);
dirCentroidMeasureAct->setEnabled(false);
connect(dirCentroidMeasureAct, SIGNAL(triggered()), this,
SLOT(dirCentroidMeasure()));
dirGenerateDataAct = new QAction(tr("Random generated the data"), this);
dirGenerateDataAct->setEnabled(false);
dirGenerateDataAct->setShortcut(tr("Ctrl+D"));
connect(dirGenerateDataAct, SIGNAL(triggered()), this,
SLOT(dirGenerateData()));
}
void ImageViewer::createActions()
{
createFileMenu();
createViewMenu();
createHelpMenu();
createSegmentationMenu();
createLandmarksMenu();
createClassificationMenu();
}
void ImageViewer::createMenus()
{
fileMenu = new QMenu(tr("&File"), this);
fileMenu->addAction(openAct);
fileMenu->addAction(saveAct);
fileMenu->addAction(saveAsAct);
fileMenu->addSeparator();
fileMenu->addAction(closeAct);
fileMenu->addAction(exitAct);
viewMenu = new QMenu(tr("&View"), this);
viewMenu->addAction(zoomInAct);
viewMenu->addAction(zoomOutAct);
viewMenu->addSeparator();
viewMenu->addAction(normalSizeAct);
viewMenu->addAction(fitToWindowAct);
viewMenu->addSeparator();
viewMenu->addAction(displayMLandmarksAct);
viewMenu->addAction(displayALandmarksAct);
helpMenu = new QMenu(tr("&Helps"), this);
helpMenu->addAction(aboutAct);
helpMenu->addAction(aboutClassifAct);
classifMenu=new QMenu(tr("&Classification"), this);
classifMenu->addAction(classificationAct);
segmentationMenu = new QMenu(tr("&Segmentation"), this);
segmentationMenu->addAction(binaryThresholdAct);
segmentationMenu->addAction(cannyAct);
segmentationMenu->addAction(suzukiAct);
segmentationMenu->addAction(lineSegmentationAct);
dominantPointMenu = new QMenu(tr("&Landmarks"), this);
//dominantPointMenu->addAction(phtAct);
dominantPointMenu->addAction(phtPointsAct);
dominantPointMenu->addAction(autoLandmarksAct);
dominantPointMenu->addSeparator();
dominantPointMenu->addAction(measureMBaryAct);
dominantPointMenu->addAction(measureEBaryAct);
dominantPointMenu->addSeparator();
QMenu* menuDirectory = dominantPointMenu->addMenu(tr("Working on directory"));
menuDirectory->addAction(dirAutoLandmarksAct);
menuDirectory->addAction(dirCentroidMeasureAct);
menuDirectory->addAction(dirGenerateDataAct);
// add menus to GUI
menuBar()->addMenu(fileMenu);
menuBar()->addMenu(viewMenu);
menuBar()->addMenu(segmentationMenu);
menuBar()->addMenu(dominantPointMenu);
menuBar()->addMenu(helpMenu);
menuBar()->addMenu(classifMenu);
}
void ImageViewer::createToolBars()
{
fileToolBar = addToolBar(tr("File"));
fileToolBar->addAction(openAct);
fileToolBar->addAction(saveAct);
viewToolBar = addToolBar(tr("View"));
viewToolBar->addAction(zoomInAct);
viewToolBar->addAction(zoomOutAct);
}
void ImageViewer::createStatusBar()
{
statusBar()->showMessage(tr("Ready"));
}
void ImageViewer::activeFunction()
{
openAct->setEnabled(true);
saveAct->setEnabled(true);
saveAsAct->setEnabled(true);
zoomInAct->setEnabled(true);
zoomOutAct->setEnabled(true);
fitToWindowAct->setEnabled(true);
normalSizeAct->setEnabled(true);
displayMLandmarksAct->setEnabled(true);
if (matImage->getListOfAutoLandmarks().size() > 0)
displayALandmarksAct->setEnabled(true);
binaryThresholdAct->setEnabled(true);
cannyAct->setEnabled(true);
suzukiAct->setEnabled(true);
lineSegmentationAct->setEnabled(true);
//phtAct->setEnabled(true);
phtPointsAct->setEnabled(true);
autoLandmarksAct->setEnabled(true);
if (matImage->getListOfManualLandmarks().size() > 0)
measureMBaryAct->setEnabled(true);
if (matImage->getListOfAutoLandmarks().size() > 0)
measureEBaryAct->setEnabled(true);
dirAutoLandmarksAct->setEnabled(true);
dirCentroidMeasureAct->setEnabled(true);
dirGenerateDataAct->setEnabled(true);
viewMenuUpdateActions();
if (!fitToWindowAct->isChecked())
imageLabel->adjustSize();
}
ImageViewer::ImageViewer()
{
imageLabel = new QLabel;
imageLabel->setBackgroundRole(QPalette::Base);
imageLabel->setSizePolicy(QSizePolicy::Ignored, QSizePolicy::Ignored);
imageLabel->setScaledContents(true);
scrollArea = new QScrollArea;
scrollArea->setBackgroundRole(QPalette::Dark);
scrollArea->setWidget(imageLabel);
setCentralWidget(scrollArea);
createActions();
createMenus();
createToolBars();
createStatusBar();
setWindowTitle(tr(".: MAELab :."));
resize(900, 700);
setWindowIcon(QIcon("./resources/ico/ip.ico"));
//parameterPanel = NULL;
}
ImageViewer::~ImageViewer()
{
delete matImage;
delete parameterAction;
delete parameterDialog;
delete imageLabel;
delete scrollArea;
// menu
delete fileMenu;
delete viewMenu;
delete segmentationMenu;
delete dominantPointMenu;
delete helpMenu;
delete classifMenu;
// toolbar
delete fileToolBar;
delete viewToolBar;
//menu action
delete openAct;
delete printAct;
delete saveAct;
delete saveAsAct;
delete closeAct;
delete exitAct;
delete zoomInAct;
delete zoomOutAct;
delete normalSizeAct;
delete fitToWindowAct;
delete displayMLandmarksAct;
delete displayALandmarksAct;
delete aboutAct;
delete aboutClassifAct;
delete binaryThresholdAct;
delete cannyAct;
delete suzukiAct;
delete lineSegmentationAct;
delete classificationAct;
//delete phtAct;
delete phtPointsAct;
delete autoLandmarksAct;
delete measureMBaryAct;
delete measureEBaryAct;
delete dirAutoLandmarksAct;
delete dirCentroidMeasureAct;
delete dirGenerateDataAct;
}
;
void ImageViewer::loadImage(QString fn)
{
matImage = new Image(fn.toStdString());
qImage.load(fn);
imageLabel->setPixmap(QPixmap::fromImage(qImage));
scaleFactor = 1.0;
saveAsAct->setEnabled(true);
activeFunction();
this->fileName = fn;
setWindowTitle(tr("Image Viewer - ") + fileName);
statusBar()->showMessage(tr("File loaded"), 2000);
}
void ImageViewer::loadImage(Image *_matImage, QImage _qImage, QString tt)
{
matImage = _matImage;
qImage = _qImage;
imageLabel->setPixmap(QPixmap::fromImage(qImage));
scaleFactor = 1.0;
saveAct->setEnabled(true);
activeFunction();
setWindowTitle(tr("Image Viewer - ") + tt);
statusBar()->showMessage(tr("Finished"), 2000);
}
void ImageViewer::displayLandmarks(Image *image, vector<Point> lms, RGB color)
{
Point lm;
for (size_t i = 0; i < lms.size(); i++)
{
lm = lms.at(i);
cout << "\nManual landmark: " << lm.getX() << "\t" << lm.getY();
fillCircle(*(image->getRGBMatrix()), lm, 5, color);
}
}
void ImageViewer::classif()
{
//get and convert filename
QFileInfo name(fileName);
name.completeBaseName();
QString fname=name.fileName();
string sname=fname.toStdString();
//get the relative path of the image
QDir dir absolute_MAELab_path;
QString my_img_abs = name.absoluteFilePath();
QString s = dir.relativeFilePath(my_img_abs);
string imagePath=s.toStdString();
//store the comand line
string caffe_path=relative_caffe_path_from_MAELab;
std::string temp ="./"+caffe_path+"/build/examples/cpp_classification/classification.bin ui/NN/de.prototxt ui/NN/azert.caffemodel ui/NN/mean.binaryproto ui/NN/label.txt "+imagePath;
const char* cmd=temp.c_str();
//execute the command line and store it's result
char buffer[5000];
std::string result="";
FILE *stream=popen(cmd,"r");
if(stream){
while(!feof(stream)){
if (fgets(buffer, 5000, stream)!=NULL){
result+=buffer;
}
}
pclose(stream);
}
//convert the result
const char* final=result.c_str();
//display it in a QMessageBox
QMessageBox::about(this, tr("classification"),tr(final));
}
// =========================== Slots =======================================
void ImageViewer::about()
{
QMessageBox::about(this, tr("About MAELab"),
tr(
"<p><b>MAELab</b> is a software in Computer Vision. It provides the function to "
"segmentation and detection dominant points.</p>"));
}
void ImageViewer::aboutClassif()
{
QMessageBox::about(this, tr("About Classification"),
tr(
"To use the Classification option, you need to specify some paths in the file : MAELab/ui/ImageViewer.cpp :\n - #define absolute_MAELab_path (line 80)\n - #define relative_caffe_path_from_MAELab (line 81)"));
//QPixmap img = QPixmap(/NN/beatles.jpg);
//mybox.setIconPixmap(img);
//mybox.show();
}
void ImageViewer::open()
{
QString fileName = QFileDialog::getOpenFileName(this, tr("Open File"),
QDir::currentPath());
if (!fileName.isEmpty())
{
QImage image(fileName);
if (image.isNull())
{
QMessageBox::information(this, tr("MAELab"),
tr("Cannot load %1.").arg(fileName));
return;
}
if (!this->fileName.isEmpty())
{
ImageViewer* other = new ImageViewer;
other->loadImage(fileName);
other->move(x() + 40, y() + 40);
other->show();
}
else
{
this->loadImage(fileName);
}
}
}
void ImageViewer::save()
{
QString fileName = QFileDialog::getSaveFileName(this, tr("Save image"), ".",
tr("Image Files (*.jpg)"));
if (fileName.isEmpty())
{
cout << "\nCan not save the image !!";
return;
}
QApplication::setOverrideCursor(Qt::WaitCursor);
qImage.save(fileName, "JPEG");
QApplication::restoreOverrideCursor();
this->fileName = fileName;
setWindowTitle(tr("MAELab - ") + fileName);
saveAct->setEnabled(false);
saveAsAct->setEnabled(true);
statusBar()->showMessage(tr("File saved"), 2000);
return;
}
void ImageViewer::saveAs()
{
QString fileName = QFileDialog::getSaveFileName(this, tr("Save image"), ".",
tr("Image Files (*.jpg)"));
if (fileName.isEmpty())
{
cout << "\nCan not save the image !!";
return;
}
QApplication::setOverrideCursor(Qt::WaitCursor);
qImage.save(fileName, "JPEG");
QApplication::restoreOverrideCursor();
saveAct->setEnabled(true);
statusBar()->showMessage(tr("File saved"), 2000);
return;
}
void ImageViewer::zoomIn()
{
scaleImage(1.25);
}
void ImageViewer::zoomOut()
{
scaleImage(0.8);
}
void ImageViewer::normalSize()
{
imageLabel->adjustSize();
scaleFactor = 1.0;
}
void ImageViewer::fitToWindow()
{
bool fitToWindow = fitToWindowAct->isChecked();
scrollArea->setWidgetResizable(fitToWindow);
if (!fitToWindow)
{
normalSize();
}
viewMenuUpdateActions();
}
void ImageViewer::displayManualLandmarks()
{
cout << "\n Display the manual landmarks.\n";
bool currentState = displayMLandmarksAct->isChecked();
if (currentState)
{
if (matImage->getListOfManualLandmarks().size() <= 0)
{
QMessageBox msgbox;
msgbox.setText("Select the manual landmarks file.");
msgbox.exec();
QString reflmPath = QFileDialog::getOpenFileName(this);
matImage->readManualLandmarks(reflmPath.toStdString());
}
vector<Point> mLandmarks = matImage->getListOfManualLandmarks();
RGB color;
color.R = 255;
color.G = 0;
color.B = 0;
displayLandmarks(matImage, mLandmarks, color);
displayMLandmarksAct->setChecked(true);
measureMBaryAct->setEnabled(true);
}
else
{
Image *img = new Image(fileName.toStdString());
matImage->setRGBMatrix(img->getRGBMatrix());
displayMLandmarksAct->setChecked(false);
}
if (displayALandmarksAct->isChecked())
{
vector<Point> aLM = matImage->getListOfAutoLandmarks();
if (aLM.size() > 0)
{
RGB color;
color.R = 255;
color.G = 255;
color.B = 0;
displayLandmarks(matImage, aLM, color);
displayALandmarksAct->setChecked(true);
}
}
this->loadImage(matImage, ptrRGBToQImage(matImage->getRGBMatrix()),
"Display manual landmarks.");
this->show();
cout << "\nFinish.\n";
}
void ImageViewer::displayAutoLandmarks()
{
vector<Point> autoLM = matImage->getListOfAutoLandmarks();
QMessageBox message;
if (autoLM.size() <= 0)
{
message.setText(
"Automatic landmarks do not exists. You need to compute them.");
message.exec();
}
else
{
bool currentState = displayALandmarksAct->isChecked();
if (currentState)
{
RGB color;
color.R = 255;
color.G = 255;
color.B = 0;
displayLandmarks(matImage, autoLM, color);
displayALandmarksAct->setChecked(true);
}
else
{
Image *img = new Image(fileName.toStdString());
matImage->setRGBMatrix(img->getRGBMatrix());
displayALandmarksAct->setChecked(false);
}
if (displayMLandmarksAct->isChecked())
{
vector<Point> mLM = matImage->getListOfManualLandmarks();
if (mLM.size() > 0)
{
RGB color;
color.R = 255;
color.G = 0;
color.B = 0;
displayLandmarks(matImage, mLM, color);
displayMLandmarksAct->setChecked(true);
}
}
this->loadImage(matImage, ptrRGBToQImage(matImage->getRGBMatrix()),
"Display estimated landmarks.");
}
}
void ImageViewer::binThreshold()
{
cout << "\nBinary thresholding...\n";
float tValue = matImage->getThresholdValue();
Segmentation tr; // = new Segmentation();
tr.setRefImage(*matImage);
ptr_IntMatrix rsMatrix = tr.threshold(tValue, 255);
ImageViewer *other = new ImageViewer;
other->loadImage(matImage, ptrIntToQImage(rsMatrix), "Thresholding result");
other->show();
}
void ImageViewer::cannyAlgorithm()
{
cout << "\nCanny Algorithm...\n";
Segmentation tr;
tr.setRefImage(*matImage);
vector<Edge> edges = tr.canny();
RGB color;
color.R = 255;
color.G = color.B = 0;
Edge edgei;
Point pi;
int rows = matImage->getGrayMatrix()->getRows();
int cols = matImage->getGrayMatrix()->getCols();
for (size_t i = 0; i < edges.size(); i++)
{
edgei = edges.at(i);
for (size_t k = 0; k < edgei.getPoints().size(); k++)
{
pi = edgei.getPoints().at(k);
if (pi.getX() >= 0 && pi.getX() < cols && pi.getY() >= 0
&& pi.getY() < rows)
{
matImage->getRGBMatrix()->setAtPosition(pi.getY(), pi.getX(), color);
}
}
}
ImageViewer *other = new ImageViewer;
other->loadImage(matImage, ptrRGBToQImage(matImage->getRGBMatrix()),
"Canny result");
other->move(x() - 40, y() - 40);
other->show();
}
void ImageViewer::suzukiAlgorithm()
{
cout << "\nSuzuki Algorithm...\n";
Segmentation tr;
tr.setRefImage(*matImage);
vector<Edge> edgesCanny = tr.canny();
vector<Edge> edges = verifyProcess(edgesCanny);
RGB color;
color.R = 255;
color.G = color.B = 0;
Edge edgei;
Point pi;
int rows = matImage->getGrayMatrix()->getRows();
int cols = matImage->getGrayMatrix()->getCols();
for (size_t i = 0; i < edges.size(); i++)
{
edgei = edges.at(i);
for (size_t k = 0; k < edgei.getPoints().size(); k++)
{
pi = edgei.getPoints().at(k);
if (pi.getX() >= 0 && pi.getX() < cols && pi.getY() >= 0
&& pi.getY() < rows)
{
matImage->getRGBMatrix()->setAtPosition(pi.getY(), pi.getX(), color);
}
}
}
ImageViewer *other = new ImageViewer;
other->loadImage(matImage, ptrRGBToQImage(matImage->getRGBMatrix()),
"Canny result");
other->move(x() - 40, y() - 40);
other->show();
}
void ImageViewer::lineSegmentation()
{
cout << "\nDisplay the list of lines." << endl;
QMessageBox msgbox;
Segmentation tr;
tr.setRefImage(*matImage);
vector<Line> listOfLines = tr.segment();
RGB color;
color.R = 255;
color.G = color.B = 0;
Line linei;
for (size_t i = 0; i < listOfLines.size(); i++)
{
linei = listOfLines.at(i);
drawingLine(*(matImage->getRGBMatrix()), linei, color);
}
this->loadImage(matImage, ptrRGBToQImage(matImage->getRGBMatrix()),
"Landmarks result");
this->show();
msgbox.setText("Finish");
msgbox.exec();
}
// ======================================================= Landmarks points ===============================
void ImageViewer::gHoughTransform()
{
cout << "\n Generalizing hough transform." << endl;
QMessageBox msgbox;
// extract list of points of model image by using canny
msgbox.setText("Select the model image.");
msgbox.exec();
QString fileName2 = QFileDialog::getOpenFileName(this);
if (fileName2.isEmpty())
return;
cout << endl << fileName2.toStdString() << endl;
Image *modelImage = new Image(fileName2.toStdString());
msgbox.setText("Select the landmark file of model image.");
msgbox.exec();
QString reflmPath = QFileDialog::getOpenFileName(this);
modelImage->readManualLandmarks(reflmPath.toStdString());
int rows = matImage->getGrayMatrix()->getRows();
int cols = matImage->getGrayMatrix()->getCols();
ProHoughTransform tr;
tr.setRefImage(*modelImage);
Point ePoint, mPoint;
double angleDiff;
/*ptr_IntMatrix newScene = new Matrix<int>(rows, cols, 0);
vector<Point> estLandmarks = tr.generalTransform(*matImage, angleDiff, ePoint,
mPoint, newScene);
cout<<"\nLandmarks: "<<estLandmarks.size()<<endl;*/
//==================================================================
LandmarkDetection lmDetect;
lmDetect.setRefImage(*modelImage);
vector<Point> estLandmarks = lmDetect.landmarksAutoDectect2(*matImage, 100,
300);
cout << "\nNumber of the landmarks: " << estLandmarks.size() << endl;
RGB color;
color.G = 0;
color.B = 0;
color.R = 0;
// drawing...
//matImage->getRGBMatrix()->rotation(ePoint,angleDiff,1,color);
//fillCircle(*(matImage->getRGBMatrix()), ePoint, 5, color);
//drawingLine(*(matImage->getRGBMatrix()), sLine, color);
//drawingLine(*(matImage->getRGBMatrix()), l2, color);
Point lm;
color.B = 255;
for (size_t i = 0; i < estLandmarks.size(); i++)
{
lm = estLandmarks.at(i);
cout << "\n Landmarks " << i + 1 << ": " << lm.getX() << "\t" << lm.getY()
<< endl;
fillCircle(*(matImage->getRGBMatrix()), lm, 5, color);
}
Point ebary;
double mCentroid = measureCentroidPoint(estLandmarks, ebary);
msgbox.setText(
"<p>Coordinate of bary point: (" + QString::number(ebary.getX()) + ", "
+ QString::number(ebary.getY()) + ")</p>"
"<p>Centroid value: " + QString::number(mCentroid) + "</p");
msgbox.exec();
//icpmethod(*modelImage,*matImage);
this->loadImage(matImage, ptrRGBToQImage(matImage->getRGBMatrix()),
"Landmarks result");
this->show();
//delete newScene;
msgbox.setText("Finish.");
msgbox.exec();
}
void ImageViewer::extractLandmarks()
{
cout << "\n Automatic extraction the landmarks.\n";
QMessageBox msgbox;
msgbox.setText("Select the model image.");
msgbox.exec();
QString fileName2 = QFileDialog::getOpenFileName(this);
if (fileName2.isEmpty())
return;
cout << endl << fileName2.toStdString() << endl;
Image *modelImage = new Image(fileName2.toStdString());
msgbox.setText("Select the landmark file of model image.");
msgbox.exec();
QString reflmPath = QFileDialog::getOpenFileName(this);
modelImage->readManualLandmarks(reflmPath.toStdString());
LandmarkDetection tr;
tr.setRefImage(*modelImage);
Point ePoint;
double angleDiff;
vector<Point> lms = tr.landmarksAutoDectect(*matImage, Degree, 500, 400, 500,
ePoint, angleDiff);
cout << "\nNumber of the landmarks: " << lms.size() << endl;
RGB color;
color.R = 255;
color.G = 255;
color.B = 0;
Point lm;
matImage->rotate(ePoint, angleDiff, 1);
for (size_t i = 0; i < lms.size(); i++)
{
lm = lms.at(i);
drawingCircle(*(matImage->getRGBMatrix()), lm, 5, color);
}
matImage->setAutoLandmarks(lms);
displayALandmarksAct->setEnabled(true);
displayALandmarksAct->setChecked(true);
measureEBaryAct->setEnabled(true);
this->loadImage(matImage, ptrRGBToQImage(matImage->getRGBMatrix()),
"Landmarks result");
this->show();
msgbox.setText("Finish");
msgbox.exec();
}
void ImageViewer::measureMBary()
{
QMessageBox qmessage;
vector<Point> mLandmarks = matImage->getListOfManualLandmarks();
if (mLandmarks.size() > 0)
{
Point ebary(0, 0);
double mCentroid = measureCentroidPoint(mLandmarks, ebary);
qmessage.setText(
"<p>Coordinate of bary point: (" + QString::number(ebary.getX()) + ", "
+ QString::number(ebary.getY()) + ")</p>"
"<p>Centroid value: " + QString::number(mCentroid) + "</p");
}
else
{
qmessage.setText("The image has not the manual landmarks.");
}
qmessage.exec();
}
void ImageViewer::measureEBary()
{
QMessageBox qmessage;
vector<Point> mLandmarks = matImage->getListOfAutoLandmarks();
if (mLandmarks.size() > 0)
{
Point ebary(0, 0);
double mCentroid = measureCentroidPoint(mLandmarks, ebary);
qmessage.setText(
"<p>Coordinate of bary point: (" + QString::number(ebary.getX()) + ", "
+ QString::number(ebary.getY()) + ")</p>"
"<p>Centroid value: " + QString::number(mCentroid) + "</p");
}
else