OpenCV和Java，模糊、油画

ASR/CV/ML OpenCV和Java，模糊、油画

Imgproc.GaussianBlur
Imgproc.medianBlur
Imgproc.boxFilter
Imgproc.blur
Imgproc.bilateralFilter

工具类见 http://www.gaohaiyan.com/3229.html
本例完整代码：

import java.awt.image.BufferedImage;
import javax.swing.ImageIcon;
import javax.swing.JFrame;
import javax.swing.JLabel;
import javax.swing.JSlider;
import javax.swing.event.ChangeEvent;
import javax.swing.event.ChangeListener;
import org.opencv.core.Mat;
import org.opencv.core.Size;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;

/**
 * 模糊
 */
public class Blur extends JFrame {

    private JLabel imageView;

    private double gaussian = 1;
    private int median = 1;
    private double box = 1;
    private double normalized = 1;
    private int bilateral = 1;
    private Mat srcMat;

    private int pattern = -1;

    public Blur(String path) {

        JLabel gaussianLabel = new JLabel("高斯模糊:" + gaussian);
        gaussianLabel.setBounds(15, 10, 90, 15);

        JSlider gaussianBar = new JSlider(1, 100);
        gaussianBar.setValue((int) gaussian);
        gaussianBar.setBounds(110, 5, 180, 25);
        gaussianBar.addChangeListener(new ChangeListener() {
            @Override
            public void stateChanged(ChangeEvent e) {
                int value = gaussianBar.getValue();
                if (value % 2 == 0) {
                    value = value + 1;
                }
                gaussian = value * 1.0d;
                gaussianLabel.setText("高斯模糊:" + gaussian);
                pattern = 0;
                setPic();
            }
        });

        JLabel medianLabel = new JLabel("中值模糊:" + median);
        medianLabel.setBounds(15, 40, 80, 15);

        JSlider medianBar = new JSlider(1, 100);
        medianBar.setValue((int) median);
        medianBar.setBounds(110, 35, 180, 25);
        medianBar.addChangeListener(new ChangeListener() {
            @Override
            public void stateChanged(ChangeEvent e) {
                int value = medianBar.getValue();
                if (value % 2 == 0) {
                    value = value + 1;
                }
                median = value;
                medianLabel.setText("中值模糊:" + median);
                pattern = 1;
                setPic();
            }
        });

        JLabel boxLabel = new JLabel("方框模糊:" + box);
        boxLabel.setBounds(15, 70, 80, 15);

        JSlider boxBar = new JSlider(0, 100);
        boxBar.setValue((int) box);
        boxBar.setBounds(110, 65, 180, 25);
        boxBar.addChangeListener(new ChangeListener() {
            @Override
            public void stateChanged(ChangeEvent e) {
                box = boxBar.getValue() * 1.0d;
                boxLabel.setText("方框模糊:" + box);
                pattern = 2;
                setPic();
            }
        });

        JLabel normalizedLabel = new JLabel("归一模糊:" + normalized);
        normalizedLabel.setBounds(15, 100, 80, 15);

        JSlider normalizedBar = new JSlider(0, 100);
        normalizedBar.setValue((int) normalized);
        normalizedBar.setBounds(110, 95, 180, 25);
        normalizedBar.addChangeListener(new ChangeListener() {
            @Override
            public void stateChanged(ChangeEvent e) {
                normalized = normalizedBar.getValue() * 1.0d;
                normalizedLabel.setText("归一模糊:" + normalized);
                pattern = 3;
                setPic();
            }
        });


        JLabel bilateralLabel = new JLabel("双向模糊:" + bilateral);
        bilateralLabel.setBounds(15, 130, 80, 15);

        JSlider bilateralBar = new JSlider(0, 100);
        bilateralBar.setValue((int) bilateral);
        bilateralBar.setBounds(110, 125, 180, 25);
        bilateralBar.addChangeListener(new ChangeListener() {
            @Override
            public void stateChanged(ChangeEvent e) {
                bilateralLabel.setText("双向模糊:" + bilateral);
                bilateral = bilateralBar.getValue();
                pattern = 4;
                setPic();
            }
        });

        srcMat = Imgcodecs.imread(path);
        int width = srcMat.width();
        int height = srcMat.height();

        imageView = new JLabel("");
        imageView.setBounds(0, 160, width, height);

        this.setTitle("图片模糊处理");
        this.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
        this.setSize(width + 100, height + 170);
        this.getContentPane().setLayout(null);
        this.getContentPane().add(gaussianLabel);
        this.getContentPane().add(gaussianBar);
        this.getContentPane().add(medianLabel);
        this.getContentPane().add(medianBar);
        this.getContentPane().add(boxLabel);
        this.getContentPane().add(boxBar);
        this.getContentPane().add(normalizedLabel);
        this.getContentPane().add(normalizedBar);
        this.getContentPane().add(bilateralLabel);
        this.getContentPane().add(bilateralBar);
        this.getContentPane().add(imageView);

        setPic();
    }

    private void setPic() {
        int rowSize = srcMat.rows();
        int colSize = srcMat.cols();
        int type = srcMat.type();

        if (0 == pattern) { // 高斯
            Mat mat = new Mat(rowSize, colSize, type);
            Imgproc.GaussianBlur(srcMat, mat, new Size(gaussian, gaussian), 0);
            setIcon(mat);
            return;
        }

        if (1 == pattern) { // 中值
            Mat mat = new Mat(rowSize, colSize, type);
            Imgproc.medianBlur(srcMat, mat, median);
            setIcon(mat);
            return;
        }

        if (2 == pattern) { // 方框
            Mat mat = new Mat(rowSize, colSize, type);
            Imgproc.boxFilter(srcMat, mat, srcMat.depth(), new Size(box, box)); // 未解决filter.dispatch.cpp:146: error: (-215:Assertion failed) 0 <= anchor.x && anchor.x < ksize.width && 0 <= anchor.y && anchor.y < ksize.height in function 'init'
            setIcon(mat);
            return;
        }

        if (3 == pattern) { // 归一化
            Mat mat = new Mat(rowSize, colSize, type);
            Imgproc.blur(srcMat, mat, new Size(normalized, normalized)); // 未解决CvException: cv::Exception: OpenCV(3.4.16) filter.dispatch.cpp:146: error: (-215:Assertion failed) 0 <= anchor.x && anchor.x < ksize.width && 0 <= anchor.y && anchor.y < ksize.height in function 'init'
            setIcon(mat);
            return;
        }

        if (4 == pattern) { // 双边
            Mat mat = new Mat(rowSize, colSize, type);
            Imgproc.bilateralFilter(srcMat, mat, bilateral, 120, 120);
            setIcon(mat);
            return;
        }

        setIcon(srcMat);
    }

    private void setIcon(Mat mat) {
        BufferedImage image = CVUtil.matToBufferedImage(mat); // CVUtil 见 http://www.gaohaiyan.com/3229.html
        imageView.setIcon(new ImageIcon(image));
    }
}

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import java.awt.image.BufferedImage;

import javax.swing.ImageIcon;

import javax.swing.JFrame;

import javax.swing.JLabel;

import javax.swing.JSlider;

import javax.swing.event.ChangeEvent;

import javax.swing.event.ChangeListener;

import org.opencv.core.Mat;

import org.opencv.core.Size;

import org.opencv.imgcodecs.Imgcodecs;

import org.opencv.imgproc.Imgproc;

/**

* 模糊

public class Blur extends JFrame {

private JLabel imageView;

private double gaussian = 1;

private int median = 1;

private double box = 1;

private double normalized = 1;

private int bilateral = 1;

private Mat srcMat;

private int pattern = -1;

public Blur(String path) {

JLabel gaussianLabel = new JLabel("高斯模糊:" + gaussian);

gaussianLabel.setBounds(15, 10, 90, 15);

JSlider gaussianBar = new JSlider(1, 100);

gaussianBar.setValue((int) gaussian);

gaussianBar.setBounds(110, 5, 180, 25);

gaussianBar.addChangeListener(new ChangeListener() {

@Override

public void stateChanged(ChangeEvent e) {

int value = gaussianBar.getValue();

if (value % 2 == 0) {

value = value + 1;

}

gaussian = value * 1.0d;

gaussianLabel.setText("高斯模糊:" + gaussian);

pattern = 0;

setPic();

}

});

JLabel medianLabel = new JLabel("中值模糊:" + median);

medianLabel.setBounds(15, 40, 80, 15);

JSlider medianBar = new JSlider(1, 100);

medianBar.setValue((int) median);

medianBar.setBounds(110, 35, 180, 25);

medianBar.addChangeListener(new ChangeListener() {

@Override

public void stateChanged(ChangeEvent e) {

int value = medianBar.getValue();

if (value % 2 == 0) {

value = value + 1;

}

median = value;

medianLabel.setText("中值模糊:" + median);

pattern = 1;

setPic();

}

});

JLabel boxLabel = new JLabel("方框模糊:" + box);

boxLabel.setBounds(15, 70, 80, 15);

JSlider boxBar = new JSlider(0, 100);

boxBar.setValue((int) box);

boxBar.setBounds(110, 65, 180, 25);

boxBar.addChangeListener(new ChangeListener() {

@Override

public void stateChanged(ChangeEvent e) {

box = boxBar.getValue() * 1.0d;

boxLabel.setText("方框模糊:" + box);

pattern = 2;

setPic();

}

});

JLabel normalizedLabel = new JLabel("归一模糊:" + normalized);

normalizedLabel.setBounds(15, 100, 80, 15);

JSlider normalizedBar = new JSlider(0, 100);

normalizedBar.setValue((int) normalized);

normalizedBar.setBounds(110, 95, 180, 25);

normalizedBar.addChangeListener(new ChangeListener() {

@Override

public void stateChanged(ChangeEvent e) {

normalized = normalizedBar.getValue() * 1.0d;

normalizedLabel.setText("归一模糊:" + normalized);

pattern = 3;

setPic();

}

});

JLabel bilateralLabel = new JLabel("双向模糊:" + bilateral);

bilateralLabel.setBounds(15, 130, 80, 15);

JSlider bilateralBar = new JSlider(0, 100);

bilateralBar.setValue((int) bilateral);

bilateralBar.setBounds(110, 125, 180, 25);

bilateralBar.addChangeListener(new ChangeListener() {

@Override

public void stateChanged(ChangeEvent e) {

bilateralLabel.setText("双向模糊:" + bilateral);

bilateral = bilateralBar.getValue();

pattern = 4;

setPic();

}

});

srcMat = Imgcodecs.imread(path);

int width = srcMat.width();

int height = srcMat.height();

imageView = new JLabel("");

imageView.setBounds(0, 160, width, height);

this.setTitle("图片模糊处理");

this.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);

this.setSize(width + 100, height + 170);

this.getContentPane().setLayout(null);

this.getContentPane().add(gaussianLabel);

this.getContentPane().add(gaussianBar);

this.getContentPane().add(medianLabel);

this.getContentPane().add(medianBar);

this.getContentPane().add(boxLabel);

this.getContentPane().add(boxBar);

this.getContentPane().add(normalizedLabel);

this.getContentPane().add(normalizedBar);

this.getContentPane().add(bilateralLabel);

this.getContentPane().add(bilateralBar);

this.getContentPane().add(imageView);

setPic();

}

private void setPic() {

int rowSize = srcMat.rows();

int colSize = srcMat.cols();

int type = srcMat.type();

if (0 == pattern) { // 高斯

Mat mat = new Mat(rowSize, colSize, type);

Imgproc.GaussianBlur(srcMat, mat, new Size(gaussian, gaussian), 0);

setIcon(mat);

return;

}

if (1 == pattern) { // 中值

Mat mat = new Mat(rowSize, colSize, type);

Imgproc.medianBlur(srcMat, mat, median);

setIcon(mat);

return;

}

if (2 == pattern) { // 方框

Mat mat = new Mat(rowSize, colSize, type);

Imgproc.boxFilter(srcMat, mat, srcMat.depth(), new Size(box, box)); // 未解决filter.dispatch.cpp:146: error: (-215:Assertion failed) 0 <= anchor.x && anchor.x < ksize.width && 0 <= anchor.y && anchor.y < ksize.height in function 'init'

setIcon(mat);

return;

}

if (3 == pattern) { // 归一化

Mat mat = new Mat(rowSize, colSize, type);

Imgproc.blur(srcMat, mat, new Size(normalized, normalized)); // 未解决CvException: cv::Exception: OpenCV(3.4.16) filter.dispatch.cpp:146: error: (-215:Assertion failed) 0 <= anchor.x && anchor.x < ksize.width && 0 <= anchor.y && anchor.y < ksize.height in function 'init'

setIcon(mat);

return;

}

if (4 == pattern) { // 双边

Mat mat = new Mat(rowSize, colSize, type);

Imgproc.bilateralFilter(srcMat, mat, bilateral, 120, 120);

setIcon(mat);

return;

}

setIcon(srcMat);

}

private void setIcon(Mat mat) {

BufferedImage image = CVUtil.matToBufferedImage(mat); // CVUtil 见 http://www.gaohaiyan.com/3229.html

imageView.setIcon(new ImageIcon(image));

}

均值漂移，油画效果 MeanShiftFiltering


int sp = 17;
int sr = 30;
int max = 1;
Mat dstMat = new Mat(srcMat.rows(), srcMat.cols(), srcMat.type());
// src，输入图像，8位，三通道的彩色图像，并不要求必须是RGB格式，HSV、YUV等Opencv中的彩色图像格式均可；
// dst，输出图像，跟输入src有同样的大小和数据格式；
// sp，定义的漂移物理空间半径大小；
// sr，定义的漂移色彩空间半径大小；
// maxLevel，定义金字塔的最大层数；
// termcrit，定义的漂移迭代终止条件，可以设置为迭代次数满足终止，迭代目标与中心点偏差满足终止，或者两者的结合； 
Imgproc.pyrMeanShiftFiltering(srcMat, dstMat, sp, sr, max, new TermCriteria(TermCriteria.MAX_ITER | TermCriteria.EPS, 50, 0.001));

int sp = 17;

int sr = 30;

int max = 1;

Mat dstMat = new Mat(srcMat.rows(), srcMat.cols(), srcMat.type());

// src，输入图像，8位，三通道的彩色图像，并不要求必须是RGB格式，HSV、YUV等Opencv中的彩色图像格式均可；

// dst，输出图像，跟输入src有同样的大小和数据格式；

// sp，定义的漂移物理空间半径大小；

// sr，定义的漂移色彩空间半径大小；

// maxLevel，定义金字塔的最大层数；

// termcrit，定义的漂移迭代终止条件，可以设置为迭代次数满足终止，迭代目标与中心点偏差满足终止，或者两者的结合；

Imgproc.pyrMeanShiftFiltering(srcMat, dstMat, sp, sr, max, new TermCriteria(TermCriteria.MAX_ITER | TermCriteria.EPS, 50, 0.001));

- end

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