OpenCV_Robinson_Filter.java
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
import javax.swing.*;
import java.awt.*;
import java.awt.event.ActionEvent;
import java.awt.event.ActionListener;
import java.awt.image.BufferedImage;
public class OpenCV_Robinson_Filter {
static {System.loadLibrary(Core.NATIVE_LIBRARY_NAME);}
private JFrame frmjavaSwing;
/**
* Lunch the application.
*/
public static void main(String[] args){
EventQueue.invokeLater(new Runnable() {
@Override
public void run() {
try {
OpenCV_Robinson_Filter window = new OpenCV_Robinson_Filter();
window.frmjavaSwing.setVisible(true);
} catch (Exception e) {
e.printStackTrace();
}
}
});
}
/**
* Create the application.
*/
public OpenCV_Robinson_Filter(){
init();
}
/**
* Init the contents of the frame.
*/
private void init(){
final Mat source = Imgcodecs.imread(
"D:\\projects\\Java\\OpenCV_Samples\\resource\\imgs\\lena.jpg ");
BufferedImage image=matToBufferedImage(source);
frmjavaSwing = new JFrame();
frmjavaSwing.setTitle("Pratique du filtre opencv Robinson");
frmjavaSwing.setBounds(100, 100, 560, 620);
frmjavaSwing.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
frmjavaSwing.getContentPane().setLayout(null);
final JLabel lblNewLabel = new JLabel("");
lblNewLabel.setBounds(5, 60, image.getHeight()+10, image.getWidth()+10);
lblNewLabel.setIcon(new ImageIcon(image));
frmjavaSwing.getContentPane().add(lblNewLabel);
JButton btnR0 = new JButton("R0");
btnR0.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent arg0) {
BufferedImage newImage=matToBufferedImage(Convolution(source,0));
lblNewLabel.setIcon(new ImageIcon(newImage));
}
});
btnR0.setBounds(5, 10, 63, 23);
frmjavaSwing.getContentPane().add(btnR0);
JButton btnR1 = new JButton("R1");
btnR1.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent arg0) {
BufferedImage newImage=matToBufferedImage(Convolution(source,1));
lblNewLabel.setIcon(new ImageIcon(newImage));
}
});
btnR1.setBounds(72, 10, 63, 23);
frmjavaSwing.getContentPane().add(btnR1);
JButton btnR2 = new JButton("R2");
btnR2.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent arg0) {
BufferedImage newImage=matToBufferedImage(Convolution(source,2));
lblNewLabel.setIcon(new ImageIcon(newImage));
}
});
btnR2.setBounds(136, 10, 63, 23);
frmjavaSwing.getContentPane().add(btnR2);
JButton btnR3 = new JButton("R3");
btnR3.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent arg0) {
BufferedImage newImage=matToBufferedImage(Convolution(source,3));
lblNewLabel.setIcon(new ImageIcon(newImage));
}
});
btnR3.setBounds(202, 10, 63, 23);
frmjavaSwing.getContentPane().add(btnR3);
JButton btnR4 = new JButton("R4");
btnR4.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent arg0) {
BufferedImage newImage=matToBufferedImage(Convolution(source,4));
lblNewLabel.setIcon(new ImageIcon(newImage));
}
});
btnR4.setBounds(268, 10, 63, 23);
frmjavaSwing.getContentPane().add(btnR4);
JButton btnR5 = new JButton("R5");
btnR5.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent arg0) {
BufferedImage newImage=matToBufferedImage(Convolution(source,5));
lblNewLabel.setIcon(new ImageIcon(newImage));
}
});
btnR5.setBounds(336, 10, 63, 23);
frmjavaSwing.getContentPane().add(btnR5);
JButton btnR6 = new JButton("R6");
btnR6.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent arg0) {
BufferedImage newImage=matToBufferedImage(Convolution(source,6));
lblNewLabel.setIcon(new ImageIcon(newImage));
}
});
btnR6.setBounds(403, 10, 63, 23);
frmjavaSwing.getContentPane().add(btnR6);
JButton btnR7 = new JButton("R7");
btnR7.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent arg0) {
BufferedImage newImage=matToBufferedImage(Convolution(source,7));
lblNewLabel.setIcon(new ImageIcon(newImage));
}
});
btnR7.setBounds(476, 10, 63, 23);
frmjavaSwing.getContentPane().add(btnR7);
}
public Mat Convolution(Mat source,int type){
Mat kernel =new Mat(3,3, CvType.CV_32F);
if (type==0){
kernel.put(0, 0, new float[]{-1,0,1});
kernel.put(1, 0, new float[]{-2,0,2});
kernel.put(2, 0, new float[]{-1,0,1});
}else if (type==1){
kernel.put(0, 0, new float[]{0,1,2});
kernel.put(1, 0, new float[]{-1,0,1});
kernel.put(2, 0, new float[]{-2,-1,0});
}else if (type==2){
kernel.put(0, 0, new float[]{1,2,1});
kernel.put(1, 0, new float[]{0,0,0});
kernel.put(2, 0, new float[]{-1,-2,-1});
}else if (type==3){
kernel.put(0, 0, new float[]{2,1,0});
kernel.put(1, 0, new float[]{1,0,-1});
kernel.put(2, 0, new float[]{0,-1,-2});
}else if (type==4){
kernel.put(0, 0, new float[]{1,0,-1});
kernel.put(1, 0, new float[]{2,0,-2});
kernel.put(2, 0, new float[]{1,0,-1});
}else if (type==5){
kernel.put(0, 0, new float[]{0,-1,-2});
kernel.put(1, 0, new float[]{1,0,-1});
kernel.put(2, 0, new float[]{2,1,0});
}else if (type==6){
kernel.put(0, 0, new float[]{-1,-2,-1});
kernel.put(1, 0, new float[]{0,0,0});
kernel.put(2, 0, new float[]{1,2,1});
}else if (type==7){
kernel.put(0, 0, new float[]{-2,-1,0});
kernel.put(1, 0, new float[]{-1,0,1});
kernel.put(2, 0, new float[]{0,1,2});
}
Mat destination=new Mat(source.rows(),source.cols(),source.type());
Imgproc.filter2D(source, destination, -1, kernel);
return destination;
}
public BufferedImage matToBufferedImage(Mat matrix) {
int cols = matrix.cols();
int rows = matrix.rows();
int elemSize = (int)matrix.elemSize();
byte[] data = new byte[cols * rows * elemSize];
int type;
matrix.get(0, 0, data);
switch (matrix.channels()) {
case 1:
type = BufferedImage.TYPE_BYTE_GRAY;
break;
case 3:
type = BufferedImage.TYPE_3BYTE_BGR;
// bgr to rgb
byte b;
for(int i=0; i<data.length; i=i+3) {
b = data[i];
data[i] = data[i+2];
data[i+2] = b;
}
break;
default:
return null;
}
BufferedImage image2 = new BufferedImage(cols, rows, type);
image2.getRaster().setDataElements(0, 0, cols, rows, data);
return image2;
}
}
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