OpenCV_MeanFilter.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_MeanFilter {
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_MeanFilter window = new OpenCV_MeanFilter();
window.frmjavaSwing.setVisible(true);
} catch (Exception e) {
e.printStackTrace();
}
}
});
}
/**
* Create the application.
*/
public OpenCV_MeanFilter() {
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 uniform filter practice");
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 btn3 = new JButton("Kernel-Size3");
btn3.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent arg0) {
BufferedImage newImage=matToBufferedImage(Convolution(source,3));
lblNewLabel.setIcon(new ImageIcon(newImage));
}
});
btn3.setBounds(10, 10, 114, 23);
frmjavaSwing.getContentPane().add(btn3);
JButton btnNewButton = new JButton("Kernel-Size7");
btnNewButton.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent arg0) {
BufferedImage newImage=matToBufferedImage(Convolution(source,7));
lblNewLabel.setIcon(new ImageIcon(newImage));
}
});
btnNewButton.setBounds(162, 10, 114, 23);
frmjavaSwing.getContentPane().add(btnNewButton);
JButton btn9 = new JButton("Kernel-Size9");
btn9.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent arg0) {
BufferedImage newImage=matToBufferedImage(Convolution(source,9));
lblNewLabel.setIcon(new ImageIcon(newImage));
}
});
btn9.setBounds(316, 10, 114, 23);
frmjavaSwing.getContentPane().add(btn9);
}
public Mat Convolution(Mat source,int kernelSize){
Mat kernel = Mat.ones(kernelSize,kernelSize, CvType.CV_32F);
for(int i=0; i<kernel.rows(); i++){
for(int j=0; j<kernel.cols(); j++){
double[] tmp = kernel.get(i, j);
tmp[0]=tmp[0]/(kernelSize * kernelSize);
kernel.put(i,j, tmp);
}
}
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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