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/*
* Copyright 2011-2012 INSA Rennes
*
* ImageINSA 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, either version 3 of the License, or
* (at your option) any later version.
*
* ImageINSA 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 ImageINSA. If not, see <http://www.gnu.org/licenses/>.
*/
#include <QDialog>
#include <QFormLayout>
#include <QComboBox>
#include <QDoubleSpinBox>
#include <QDialogButtonBox>
#include <QApplication>
#include "ZeroCrossingOp.h"
using namespace imagein;
ZeroCrossingOp::ZeroCrossingOp() : DoubleOperation(qApp->translate("Operations", "Zero crossing").toStdString())
{
}
bool ZeroCrossingOp::needCurrentImg() const {
return true;
}
void ZeroCrossingOp::operator()(const imagein::Image_t<double>* img, const std::map<const imagein::Image_t<double>*, std::string>&) {
auto* dialog = new QDialog(QApplication::activeWindow());
dialog->setWindowTitle(QString(qApp->translate("ZeroCrossingOp", "Zero crossing")));
auto* thresholdBox = new QDoubleSpinBox();
layout->insertRow(0, qApp->translate("ZeroCrossingOp", "Threshold : "), thresholdBox);
auto* buttonBox = new QDialogButtonBox(QDialogButtonBox::Ok|QDialogButtonBox::Cancel, Qt::Horizontal, dialog);
layout->insertRow(3, buttonBox);
QObject::connect(buttonBox, SIGNAL(accepted()), dialog, SLOT(accept()));
QObject::connect(buttonBox, SIGNAL(rejected()), dialog, SLOT(reject()));
auto code = static_cast<QDialog::DialogCode>(dialog->exec());
if(code!=QDialog::Accepted) return;
double threshold = thresholdBox->value(); //algorithm setting set by the user
//Creation of the result image of the same size than the input one
auto* result = new Image_t<double>(img->getWidth(), img->getHeight(), img->getNbChannels(), 0.); //image resultat
double currentPix;
double neighboorPix;
//Processing algorithm
//Step 1 : navigate through every pixels
for(unsigned int c = 0; c < img->getNbChannels(); ++c) {
for(unsigned int j = 1; j < img->getHeight() - 1; ++j) {
for(unsigned int i = 1; i < img->getWidth() - 1; ++i) {
currentPix = img->getPixelAt(i, j, c);
//Step 2 : Navigate through the neighborhood of the current pîxel
for(unsigned int k = i-1; k <= i+1; ++k) {
for(unsigned int l = j-1; l <= j+1; ++l) {
neighboorPix = img->getPixelAt(k, l, c);
//Step 3 : Is it an edge or not ?
if(currentPix <= 0 && neighboorPix > 0 && std::abs(currentPix-neighboorPix)>threshold) {
edge = true;
}
}
}
if(edge) result->setPixel(i, j, c, 255.);
}
}
}
//Generation of a new image with a clean of isolated edges
auto* result2 = new Image_t<double>(*result); //image resultat
for(unsigned int c = 0; c < result2->getNbChannels(); ++c) {
for(unsigned int j = 1; j < result2->getHeight() - 1; ++j) {
for(unsigned int i = 1; i < result2->getWidth() - 1; ++i) {
if(result2->getPixelAt(i, j, c) > 127) {
if(result2->getPixelAt(i-1, j, c) == 0
&& result2->getPixelAt(i, j-1, c) == 0
&& result2->getPixelAt(i+1, j, c) == 0
&& result2->getPixelAt(i, j+1, c) == 0
&& result2->getPixelAt(i+1, j+1, c) == 0
&& result2->getPixelAt(i+1, j-1, c) == 0
&& result2->getPixelAt(i-1, j+1, c) == 0
&& result2->getPixelAt(i-1, j-1, c) == 0) {
result2->setPixelAt(i, j, c, 0.);
}
}
}
}
}
outDoubleImage(result, qApp->translate("ZeroCrossingOp", "contours bruts").toStdString());
outDoubleImage(result2, qApp->translate("ZeroCrossingOp", "contours nettoyes").toStdString());