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Desktop : OpenCV Freichennel Filter

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Test OpenCV freichennel 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_FreichennelFilter {
    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_FreichennelFilter window = new OpenCV_FreichennelFilter();
                } catch (Exception e) {

     *  Create the application.
    public OpenCV_FreichennelFilter() {
     * Initialize the contents of the frame.

    private void initialize() {
        final Mat source = Imgcodecs.imread(

        BufferedImage image=matToBufferedImage(source);

        frmjavaSwing = new JFrame();
        frmjavaSwing.setTitle("opencv Frei Chenn filter練習");
        frmjavaSwing.setBounds(100, 100, 560, 620);

        final JLabel lblNewLabel = new JLabel("");
        lblNewLabel.setBounds(5, 60, image.getHeight()+10, image.getWidth()+10);
        lblNewLabel.setIcon(new ImageIcon(image));

        JButton btnX = new JButton("水平處理");
        btnX.addActionListener(new ActionListener() {
            public void actionPerformed(ActionEvent arg0) {
                BufferedImage newImage=matToBufferedImage(Convolution(source,1));
                lblNewLabel.setIcon(new ImageIcon(newImage));
        btnX.setBounds(42, 10, 114, 23);

        JButton btnY = new JButton("垂直處理");
        btnY.addActionListener(new ActionListener() {
            public void actionPerformed(ActionEvent arg0) {
                BufferedImage newImage=matToBufferedImage(Convolution(source,2));
                lblNewLabel.setIcon(new ImageIcon(newImage));
        btnY.setBounds(211, 10, 102, 23);

    public Mat Convolution(Mat source,int type){
        Mat kernel =new Mat(3,3, CvType.CV_32F);
        if (type==1){

            kernel.put(0, 0, new float[]{-1,-1.414f,-1});
            kernel.put(1, 0, new float[]{0,0,0});
            kernel.put(2, 0, new float[]{1,1.414f,1});

        }else if (type==2){
            kernel.put(0, 0, new float[]{-1,0,1});
            kernel.put(1, 0, new float[]{-1.414f,0,1.414f});
            kernel.put(2, 0, new float[]{-1,0,1});

        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;
            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;
                return null;
        BufferedImage image2 = new BufferedImage(cols, rows, type);
        image2.getRaster().setDataElements(0, 0, cols, rows, data);
        return image2;




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