Imgproc.equalizeHist
Imgproc.GaussianBlur
Core.addWeighted
Core.merge
Core.split
灰度图、直方图均衡化、YUV、权重。
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import java.awt.Color; import java.awt.image.BufferedImage; import java.util.ArrayList; import javax.swing.ImageIcon; import javax.swing.JCheckBox; 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.Core; import org.opencv.core.Mat; import org.opencv.core.Size; import org.opencv.imgcodecs.Imgcodecs; import org.opencv.imgproc.Imgproc; /** * 图片对比度调整 */ public class Equalize extends JFrame { private JLabel imageView; private boolean isAddGaussian = false; private boolean isGrayHist = false; private boolean isYUV = false; private double alpha = 1; private double beta = 1; private double gamma = 0; private double gaussian = 0; private Mat srcMat; public Equalize(String img) { JCheckBox grayHistBtn = new JCheckBox("灰阶强化"); grayHistBtn.setBounds(15, 10, 90, 25); grayHistBtn.addChangeListener(new ChangeListener() { @Override public void stateChanged(ChangeEvent e) { isGrayHist = !isGrayHist; grayHistPic(); } }); JCheckBox yuvBtn = new JCheckBox("YUV强化"); yuvBtn.setBounds(115, 10, 90, 25); yuvBtn.addChangeListener(new ChangeListener() { @Override public void stateChanged(ChangeEvent e) { isYUV = !isYUV; yuvPic(); } }); JLabel alphaLabel = new JLabel("alpha:" + alpha); alphaLabel.setBounds(15, 50, 80, 25); JSlider alphaBar = new JSlider(1, 20); alphaBar.setValue(10); alphaBar.setBounds(95, 50, 220, 25); alphaBar.addChangeListener(new ChangeListener() { @Override public void stateChanged(ChangeEvent e) { int value = alphaBar.getValue(); if (10 == value || 11 == value) { alpha = 1.0d; } else if (value > 10) { alpha = (value - 10) * 1.0d; } else if (value < 10) { alpha = value / 10d; } alphaLabel.setText("alpha:" + alpha); bgrPic(); } }); JLabel betaLabel = new JLabel("beta:" + beta); betaLabel.setBounds(15, 75, 80, 25); JSlider betaBar = new JSlider(1, 20); betaBar.setValue(10); betaBar.setBounds(95, 75, 220, 25); betaBar.addChangeListener(new ChangeListener() { @Override public void stateChanged(ChangeEvent e) { int value = betaBar.getValue(); if (10 == value || 11 == value) { beta = 1.0d; } else if (value > 10) { beta = (value - 10) * 1.0d; } else if (value < 10) { beta = value / 10d; } betaLabel.setText("beta:" + beta); bgrPic(); } }); JLabel gammaLabel = new JLabel("gamma:" + gamma); gammaLabel.setBounds(15, 100, 80, 25); JSlider gammaBar = new JSlider(1, 100); gammaBar.setValue(50); gammaBar.setBounds(95, 100, 220, 25); gammaBar.addChangeListener(new ChangeListener() { @Override public void stateChanged(ChangeEvent e) { int value = gammaBar.getValue(); gamma = (value - 10) * 1d; gammaLabel.setText("gamma:" + gamma); bgrPic(); } }); JLabel gaussianLabel = new JLabel("高斯:" + gaussian); gaussianLabel.setBounds(350, 70, 70, 25); JSlider gaussianBar = new JSlider(0, 200); gaussianBar.setValue(0); gaussianBar.setBounds(420, 70, 160, 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:" + gaussian); bgrPic(); } }); JCheckBox addGaussianBtn = new JCheckBox("开启模糊"); addGaussianBtn.setBounds(320, 50, 90, 25); addGaussianBtn.addChangeListener(new ChangeListener() { @Override public void stateChanged(ChangeEvent e) { isAddGaussian = !isAddGaussian; if (isAddGaussian) { alphaLabel.setForeground(Color.BLUE); betaLabel.setForeground(Color.BLUE); gammaLabel.setForeground(Color.BLUE); gaussianLabel.setForeground(Color.BLUE); } else { alphaLabel.setForeground(Color.BLACK); betaLabel.setForeground(Color.BLACK); gammaLabel.setForeground(Color.BLACK); gaussianLabel.setForeground(Color.BLACK); } } }); srcMat = Imgcodecs.imread(img); int width = srcMat.width(); int height = srcMat.height(); imageView = new JLabel(""); imageView.setBounds(40, 150, width, height); this.setTitle("对比度调整"); this.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); this.setSize(width + 100, height + 180); this.getContentPane().setLayout(null); this.getContentPane().add(grayHistBtn); this.getContentPane().add(yuvBtn); this.getContentPane().add(alphaLabel); this.getContentPane().add(alphaBar); this.getContentPane().add(betaLabel); this.getContentPane().add(betaBar); this.getContentPane().add(gammaLabel); this.getContentPane().add(gammaBar); this.getContentPane().add(addGaussianBtn); this.getContentPane().add(gaussianLabel); this.getContentPane().add(gaussianBar); this.getContentPane().add(imageView); setIcon(srcMat); } private void grayHistPic() { if (isGrayHist) { Mat grayMat = new Mat(srcMat.rows(), srcMat.cols(), srcMat.type()); Imgproc.cvtColor(srcMat, grayMat, Imgproc.COLOR_BGR2GRAY); // 须先得到灰度图 Mat dstMat = new Mat(srcMat.rows(), srcMat.cols(), srcMat.type()); Imgproc.equalizeHist(grayMat, dstMat); // 直方图均衡化 setIcon(dstMat); } else { setIcon(srcMat); } } private void bgrPic() { Mat dstMat = new Mat(srcMat.rows(), srcMat.cols(), srcMat.type()); if (isAddGaussian) { Mat blurMat = new Mat(srcMat.rows(), srcMat.cols(), srcMat.type()); Imgproc.GaussianBlur(srcMat, blurMat, new Size(gaussian, gaussian), 0, 0); // 高斯模糊 Core.addWeighted(blurMat, alpha, srcMat, beta, gamma, dstMat); // 权重 } else { ArrayList<Mat> bgrList = new ArrayList<>(3); Core.split(srcMat, bgrList); // 将 BGR 3个通道拆分 for (int i = 0; i < 3; i++) { Imgproc.equalizeHist(bgrList.get(i), bgrList.get(i)); // 对每个通道直方图均衡化 } Mat bgrMat = new Mat(srcMat.rows(), srcMat.cols(), srcMat.type()); Core.merge(bgrList, bgrMat); // 合并通道 Core.addWeighted(srcMat, alpha, bgrMat, beta, gamma, dstMat); // 添加权重 } setIcon(dstMat); } private void yuvPic() { if (isYUV) { Mat yuvMat = new Mat(srcMat.rows(), srcMat.cols(), srcMat.type()); Imgproc.cvtColor(srcMat, yuvMat, Imgproc.COLOR_RGB2YUV); // 转换为YUV色彩格式 ArrayList<Mat> yuvList = new ArrayList<>(3); Core.split(yuvMat, yuvList); // 将YUV按3个通道拆分。Y-亮度，只显示Y的话，图像看起来会是一张黑白照。U-色度分量：是照片蓝色部分去掉亮度。V-色度分量：是照片红色部分去掉亮度。 Imgproc.equalizeHist(yuvList.get(0), yuvList.get(0)); // 对Y通道直方图均衡化。 Mat dstMat = new Mat(srcMat.rows(), srcMat.cols(), srcMat.type()); Core.merge(yuvList, dstMat); // 合并通道 Imgproc.cvtColor(dstMat, dstMat, Imgproc.COLOR_YUV2RGB); // 转换为RGB色彩格式 setIcon(dstMat); } else { 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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声明
本文由崔维友 威格灵 cuiweiyou vigiles cuiweiyou 原创，转载请注明出处：http://www.gaohaiyan.com/3288.html
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