Goal
Test OpenCV Kirsch Filter.
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_KirschFilter {
static{ System.loadLibrary(Core.NATIVE_LIBRARY_NAME); }
private JFrame frmjavaSwing;
/**
* Launch the application.
*/
public static void main(String[] args) {
EventQueue.invokeLater(new Runnable() {
public void run() {
try {
OpenCV_KirschFilter window = new OpenCV_KirschFilter();
window.frmjavaSwing.setVisible(true);
} catch (Exception e) {
e.printStackTrace();
}
}
});
}
/**
* Create the application.
*/
public OpenCV_KirschFilter() {
initialize();
}
/**
* Initialize the contents of the frame.
*/
private void initialize() {
final Mat source = Imgcodecs.imread("D:\\projects\\Java\\OpenCV_Samples\\resource\\imgs\\baboon.jpg");
BufferedImage image=matToBufferedImage(source);
frmjavaSwing = new JFrame();
frmjavaSwing.setTitle("opencv Kirsch filter練習");
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 btnRK0 = new JButton("K0");
btnRK0.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent arg0) {
BufferedImage newImage=matToBufferedImage(Convolution(source,0));
lblNewLabel.setIcon(new ImageIcon(newImage));
}
});
btnRK0.setBounds(5, 10, 63, 23);
frmjavaSwing.getContentPane().add(btnRK0);
JButton btnK1 = new JButton("K1");
btnK1.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent arg0) {
BufferedImage newImage=matToBufferedImage(Convolution(source,1));
lblNewLabel.setIcon(new ImageIcon(newImage));
}
});
btnK1.setBounds(72, 10, 63, 23);
frmjavaSwing.getContentPane().add(btnK1);
JButton btnK2 = new JButton("K2");
btnK2.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent arg0) {
BufferedImage newImage=matToBufferedImage(Convolution(source,2));
lblNewLabel.setIcon(new ImageIcon(newImage));
}
});
btnK2.setBounds(136, 10, 63, 23);
frmjavaSwing.getContentPane().add(btnK2);
JButton btnK3 = new JButton("K3");
btnK3.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent arg0) {
BufferedImage newImage=matToBufferedImage(Convolution(source,3));
lblNewLabel.setIcon(new ImageIcon(newImage));
}
});
btnK3.setBounds(202, 10, 63, 23);
frmjavaSwing.getContentPane().add(btnK3);
JButton btnK4 = new JButton("K4");
btnK4.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent arg0) {
BufferedImage newImage=matToBufferedImage(Convolution(source,4));
lblNewLabel.setIcon(new ImageIcon(newImage));
}
});
btnK4.setBounds(268, 10, 63, 23);
frmjavaSwing.getContentPane().add(btnK4);
JButton btnK5 = new JButton("K5");
btnK5.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent arg0) {
BufferedImage newImage=matToBufferedImage(Convolution(source,5));
lblNewLabel.setIcon(new ImageIcon(newImage));
}
});
btnK5.setBounds(336, 10, 63, 23);
frmjavaSwing.getContentPane().add(btnK5);
JButton btnK6 = new JButton("K6");
btnK6.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent arg0) {
BufferedImage newImage=matToBufferedImage(Convolution(source,6));
lblNewLabel.setIcon(new ImageIcon(newImage));
}
});
btnK6.setBounds(403, 10, 63, 23);
frmjavaSwing.getContentPane().add(btnK6);
JButton btnK7 = new JButton("K7");
btnK7.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent arg0) {
BufferedImage newImage=matToBufferedImage(Convolution(source,7));
lblNewLabel.setIcon(new ImageIcon(newImage));
}
});
btnK7.setBounds(476, 10, 63, 23);
frmjavaSwing.getContentPane().add(btnK7);
}
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[]{-3,-3,5});
kernel.put(1, 0, new float[]{-3,0,5});
kernel.put(2, 0, new float[]{-3,-3,5});
}else if (type==1){
kernel.put(0, 0, new float[]{-3,5,5});
kernel.put(1, 0, new float[]{-3,0,5});
kernel.put(2, 0, new float[]{-3,-3,-3});
}else if (type==2){
kernel.put(0, 0, new float[]{5,5,5});
kernel.put(1, 0, new float[]{-3,0,-3});
kernel.put(2, 0, new float[]{-3,-3,-3});
}else if (type==3){
kernel.put(0, 0, new float[]{5,5,-3});
kernel.put(1, 0, new float[]{5,0,-3});
kernel.put(2, 0, new float[]{-3,-3,-3});
}else if (type==4){
kernel.put(0, 0, new float[]{5,-3,-3});
kernel.put(1, 0, new float[]{5,0,-3});
kernel.put(2, 0, new float[]{5,-3,-3});
}else if (type==5){
kernel.put(0, 0, new float[]{-3,-3,-3});
kernel.put(1, 0, new float[]{5,0,-3});
kernel.put(2, 0, new float[]{5,5,-3});
}else if (type==6){
kernel.put(0, 0, new float[]{-3,-3,-3});
kernel.put(1, 0, new float[]{-3,0,-3});
kernel.put(2, 0, new float[]{5,5,5});
}else if (type==7){
kernel.put(0, 0, new float[]{-3,-3,-3});
kernel.put(1, 0, new float[]{-3,0,5});
kernel.put(2, 0, new float[]{-3,5,5});
}
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;
}
}
Result
