/*
* Copyright (c) 2011-2016, Peter Abeles. All Rights Reserved.
*
* This file is part of BoofCV (http://boofcv.org).
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package boofcv.demonstrations.feature.detect.line;
import boofcv.abst.feature.detect.line.DetectLine;
import boofcv.abst.feature.detect.line.DetectLineSegment;
import boofcv.alg.filter.blur.GBlurImageOps;
import boofcv.core.image.GeneralizedImageOps;
import boofcv.demonstrations.feature.detect.ImageCorruptPanel;
import boofcv.factory.feature.detect.line.ConfigHoughFoot;
import boofcv.factory.feature.detect.line.ConfigHoughFootSubimage;
import boofcv.factory.feature.detect.line.ConfigHoughPolar;
import boofcv.factory.feature.detect.line.FactoryDetectLineAlgs;
import boofcv.gui.SelectAlgorithmAndInputPanel;
import boofcv.gui.feature.ImageLinePanel;
import boofcv.gui.image.ShowImages;
import boofcv.io.PathLabel;
import boofcv.io.UtilIO;
import boofcv.io.image.ConvertBufferedImage;
import boofcv.struct.image.GrayF32;
import boofcv.struct.image.ImageGray;
import javax.swing.*;
import java.awt.*;
import java.awt.image.BufferedImage;
import java.util.ArrayList;
/**
* Shows detected lines inside of different images.
*
* @author Peter Abeles
*/
// todo configure: blur, edge threshold, non-max radius, min counts
// todo show binary image, transform
public class DetectLineApp
extends SelectAlgorithmAndInputPanel implements ImageCorruptPanel.Listener
{
Class imageType;
T input;
T inputCorrupted;
T blur;
float edgeThreshold = 25;
int maxLines = 10;
int blurRadius = 2;
ImageLinePanel gui = new ImageLinePanel();
boolean processedImage = false;
ImageCorruptPanel corruptPanel;
public DetectLineApp( Class imageType , Class derivType ) {
super(1);
this.imageType = imageType;
addAlgorithm(0,"Hough Polar", FactoryDetectLineAlgs.houghPolar(
new ConfigHoughPolar(3, 30, 2, Math.PI / 180, edgeThreshold, maxLines), imageType, derivType));
addAlgorithm(0,"Hough Foot", FactoryDetectLineAlgs.houghFoot(
new ConfigHoughFoot(3, 8, 5, edgeThreshold, maxLines), imageType, derivType));
addAlgorithm(0,"Hough Foot Sub Image", FactoryDetectLineAlgs.houghFootSub(
new ConfigHoughFootSubimage(3, 8, 5, edgeThreshold, maxLines, 2, 2), imageType, derivType));
addAlgorithm(0,"Grid Line", FactoryDetectLineAlgs.lineRansac(40, 30, 2.36, true, imageType, derivType));
input = GeneralizedImageOps.createSingleBand(imageType, 1, 1);
inputCorrupted = GeneralizedImageOps.createSingleBand(imageType, 1, 1);
blur = GeneralizedImageOps.createSingleBand(imageType, 1, 1);
JPanel viewArea = new JPanel(new BorderLayout());
corruptPanel = new ImageCorruptPanel();
corruptPanel.setListener(this);
viewArea.add(corruptPanel,BorderLayout.WEST);
viewArea.add(gui,BorderLayout.CENTER);
setMainGUI(viewArea);
}
public void process( final BufferedImage image ) {
input.reshape(image.getWidth(),image.getHeight());
inputCorrupted.reshape(image.getWidth(),image.getHeight());
blur.reshape(image.getWidth(),image.getHeight());
ConvertBufferedImage.convertFromSingle(image, input, imageType);
SwingUtilities.invokeLater(new Runnable() {
public void run() {
gui.setBackground(image);
gui.setPreferredSize(new Dimension(image.getWidth(), image.getHeight()));
doRefreshAll();
}
});
}
@Override
public void loadConfigurationFile(String fileName) {}
@Override
public boolean getHasProcessedImage() {
return processedImage;
}
@Override
public void refreshAll(Object[] cookies) {
setActiveAlgorithm(0, null, getAlgorithmCookie(0));
}
@Override
public synchronized void setActiveAlgorithm(int indexFamily, String name, Object cookie) {
corruptPanel.corruptImage(input,inputCorrupted);
GBlurImageOps.gaussian(inputCorrupted, blur, -1,blurRadius, null);
if( cookie instanceof DetectLine ) {
final DetectLine detector = (DetectLine) cookie;
SwingUtilities.invokeLater(new Runnable() {
public void run() {
ConvertBufferedImage.convertTo(inputCorrupted, gui.background, true);
gui.setLines(detector.detect(blur));
gui.repaint();
processedImage = true;
}
});
} else if( cookie instanceof DetectLineSegment) {
final DetectLineSegment detector = (DetectLineSegment) cookie;
SwingUtilities.invokeLater(new Runnable() {
public void run() {
ConvertBufferedImage.convertTo(inputCorrupted,gui.background, true);
gui.setLineSegments(detector.detect(blur));
gui.repaint();
processedImage = true;
}
});
}
}
@Override
public void changeInput(String name, int index) {
BufferedImage image = media.openImage(inputRefs.get(index).getPath());
process(image);
}
@Override
public synchronized void corruptImageChange() {
doRefreshAll();
}
public static void main(String args[]) {
Class imageType = GrayF32.class;
Class derivType = GrayF32.class;
DetectLineApp app = new DetectLineApp(imageType,derivType);
java.util.List inputs = new ArrayList();
inputs.add(new PathLabel("Objects", UtilIO.pathExample("simple_objects.jpg")));
inputs.add(new PathLabel("Indoors",UtilIO.pathExample("lines_indoors.jpg")));
app.setInputList(inputs);
// wait for it to process one image so that the size isn't all screwed up
while( !app.getHasProcessedImage() ) {
Thread.yield();
}
ShowImages.showWindow(app,"Line Detection", true);
}
}
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