天天向上

 1: package Basic;

 2:  

 3: import java.awt.EventQueue;

 4: import java.awt.image.BufferedImage;

 5:  

 6: import javax.swing.ImageIcon;

 7: import javax.swing.JFrame;

 8: import javax.swing.JOptionPane;

 9: import javax.swing.JSlider;

 10: import javax.swing.JLabel;

 11: import javax.swing.event.ChangeListener;

 12: import javax.swing.event.ChangeEvent;

 13:  

 14: import org.opencv.core.Core;

 15: import org.opencv.core.Mat;

 16: import org.opencv.imgcodecs.Imgcodecs;

 17: import org.opencv.imgproc.Imgproc;

 18:  

 19: public class AdjContrastDemo {

 20: static{System.loadLibrary(Core.NATIVE_LIBRARY_NAME);}

 21: private JFrame frmContrastAdjustment;

 22: static double alpha = 1;

 23: static double beta = 50;

 24: JSlider slider;

 25: JSlider slider_1;

 26: JLabel lblAlphaVal;

 27: JLabel lblBetaVal;

 28: JLabel lblImage;

 29: static Mat imgSrc;

 30: static Mat imgG = new Mat();

 31: static Mat imgDst = new Mat();

 32: /**

 33:  * Launch the application.

 34:  */

 35: public static void main(String[] args) {

 36: EventQueue.invokeLater(new Runnable() {

 37: public void run() {

 38: try {

 39: //imgSrc = Imgcodecs.imread("C:\\OpenCV\\images\\left01.jpg");

 40: imgSrc = Imgcodecs.imread("C:\\OpenCV\\images\\lena.jpg");

 41: if(imgSrc.empty())

 42: {

 43: JOptionPane.showMessageDialog(null, "無法讀取圖片","警告", 

 44: JOptionPane.WARNING_MESSAGE);

 45: }

 46: if(imgSrc.channels()==3)

 47: imgSrc.copyTo(imgG);

 48: //Imgproc.cvtColor(imgSrc, imgG, Imgproc.COLOR_BGR2GRAY);

 49: else

 50: imgSrc.copyTo(imgG);

 51: //imgDst = new Mat();

 52: AdjContrastDemo window = new AdjContrastDemo();

 53: window.frmContrastAdjustment.setVisible(true);

 54: } catch (Exception e) {

 55: e.printStackTrace();

 56: }

 57: }

 58: });

 59: }

 60:  

 61: /**

 62:  * Create the application.

 63:  */

 64: public AdjContrastDemo() {

 65: initialize();

 66: }

 67:  

 68: /**

 69:  * Initialize the contents of the frame.

 70:  */

 71: private void initialize() {

 72: frmContrastAdjustment = new JFrame();

 73: frmContrastAdjustment.setTitle("Contrast Adjustment");

 74: frmContrastAdjustment.setBounds(100, 100, 725, 692);

 75: frmContrastAdjustment.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);

 76: frmContrastAdjustment.getContentPane().setLayout(null);

 77: 

 78: slider = new JSlider();

 79: slider.setValue((int)alpha);

 80: slider.addChangeListener(new ChangeListener() {

 81: public void stateChanged(ChangeEvent arg0) {

 82: lblAlphaVal.setText(slider.getValue()+"");

 83: alpha = slider.getValue();

 84: AdjustContrast();

 85: }

 86: });

 87: 

 88: slider.setBounds(125, 40, 370, 19);

 89: frmContrastAdjustment.getContentPane().add(slider);

 90: 

 91: slider_1 = new JSlider();

 92: slider_1.setValue((int)beta);

 93: slider_1.addChangeListener(new ChangeListener() {

 94: public void stateChanged(ChangeEvent arg0) {

 95: lblBetaVal.setText(slider_1.getValue()+"");

 96: beta = slider_1.getValue();

 97: AdjustContrast();

 98: }

 99: });

 100: slider_1.setBounds(125, 90, 370, 19);

 101: frmContrastAdjustment.getContentPane().add(slider_1);

 102: 

 103: JLabel lblAlpha = new JLabel();

 104: lblAlpha.setText("alpha");

 105: lblAlpha.setBounds(55, 29, 71, 36);

 106: frmContrastAdjustment.getContentPane().add(lblAlpha);

 107: 

 108: JLabel lblBeta = new JLabel();

 109: lblBeta.setText("beta");

 110: lblBeta.setBounds(55, 80, 71, 36);

 111: frmContrastAdjustment.getContentPane().add(lblBeta);

 112: 

 113: lblAlphaVal = new JLabel("0");

 114: lblAlphaVal.setBounds(499, 29, 55, 36);

 115: lblAlphaVal.setText(""+alpha);

 116: frmContrastAdjustment.getContentPane().add(lblAlphaVal);

 117: 

 118: lblBetaVal = new JLabel("0");

 119: lblBetaVal.setBounds(499, 80, 55, 36);

 120: lblBetaVal.setText(""+beta);

 121: frmContrastAdjustment.getContentPane().add(lblBetaVal);

 122: 

 123: lblImage = new JLabel("");

 124: lblImage.setBounds(31, 154, 587, 467);

 125: frmContrastAdjustment.getContentPane().add(lblImage);

 126: }

 127: public void AdjustContrast()

 128: {

 129: imgG.convertTo(imgDst, -1, alpha, beta);

 130: BufferedImage bufImg = matToBufferedImage(imgDst);

 131: lblImage.setIcon(new ImageIcon(bufImg));

 132: }

 133: public BufferedImage matToBufferedImage(Mat matrix){

 134: int cols = matrix.cols();

 135: int rows = matrix.rows();

 136: int elemSize = (int)matrix.elemSize();

 137: byte[] data = new byte[cols*rows*elemSize]; 

 138: if(matrix.channels()==3)

 139: Imgproc.cvtColor(matrix, matrix, Imgproc.COLOR_BGR2RGB);

 140: matrix.get(0, 0, data);

 141: BufferedImage bufImg = null;

 142: switch(matrix.channels())

 143: {

 144: case 1:

 145: bufImg = new BufferedImage(cols, rows, BufferedImage.TYPE_BYTE_GRAY);

 146: break;

 147: case 3:

 148: bufImg = new BufferedImage(cols,rows, BufferedImage.TYPE_3BYTE_BGR);

 149: break;

 150: } 

 151: bufImg.getRaster().setDataElements(0, 0, cols, rows, data);

 152: return bufImg; 

 153: }

 154: }

 1: public BufferedImage matToBufferedImage(Mat matrix){

 2: int cols = matrix.cols();

 3: int rows = matrix.rows();

 4: int elemSize = (int)matrix.elemSize();

 5: byte[] data = new byte[cols*rows*elemSize]; 

 6: matrix.get(0, 0, data);

 7: BufferedImage bufImg = null;

 8: switch(matrix.channels())

 9: {

 10: case 1:

 11: bufImg = new BufferedImage(cols, rows, BufferedImage.TYPE_BYTE_GRAY);

 12: break;

 13: case 3:

 14: bufImg = new BufferedImage(cols,rows, BufferedImage.TYPE_3BYTE_BGR);

 15: break;

 16: } 

 17: bufImg.getRaster().setDataElements(0, 0, cols, rows, data);

 18: return bufImg; 

 19: }

 1: package ex1;

 2:  

 3: public class ex1_helloworld {

 4:  

 5: public static void main(String[] args) {

 6: // TODO Auto-generated method stub

 7: System.out.println("Hello World!");

 8: }

 9:  

 10: }

繼續上一篇 OpenCV3.1 搜尋輪廓與遮罩應用

現在要計算輪廓周長、面積和重心，並且用一多邊形曲線近似該輪廓。

 1:  

 2: for (int i = 0; i < contours.size(); i++) {

 3: cout << "contour # " << i << endl;

 4: imgMask = Mat::zeros(imgSrc.size(), CV_8UC1);

 5: drawContours(imgMask, contours, i, Scalar(255), -1);

 6: Mat imgROI;

 7: imgSrc.copyTo(imgROI, imgMask);

 8: string name = std::to_string(i);

 9: //imshow(name, imgROI);

 10: cout << "mean color (BGR) = " << mean(imgSrc, imgMask) << endl;

 11: Moments m = moments(contours[i]);

 12: cout << "area = " << m.m00 <<endl;

 13: double contArea = contourArea(contours[i]);

 14: cout << "contour area = " << contArea << endl;

 15: double cx = m.m10 / m.m00;

 16: double cy = m.m01 / m.m00;

 17: line(imgROI, Point(cx, cy), Point(cx, cy), Scalar(255, 0, 0), 5, 8);

 18: char label[50];

 19: sprintf_s(label, "(%.0f,%.0f)", cx, cy);

 20: int offset = 100;

 21: putText(imgROI, label, Point(cx-offset, cy), FONT_HERSHEY_COMPLEX, 1, Scalar(0, 0, 255), 1, 8);

 22: double perimeter = arcLength(contours[i], true);

 23: cout << "perimeter = " << perimeter << endl;

 24: vector<Point> polyCurves;

 25: double epsilon = 0.01;

 26: approxPolyDP(contours[i], polyCurves, epsilon*arcLength(contours[i], true), true);

 27: 

 28: cout << "polygonal curves = " << polyCurves.size() << endl;

 29: for (int j = 0; j < polyCurves.size()-1; j++) 

 30: {

 31: Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));

 32: line(imgROI, polyCurves[j], polyCurves[j + 1], color, 3, 8);

 33: }

 34:  

 35: line(imgROI, polyCurves[0], polyCurves[polyCurves.size()-1], Scalar(0, 0,255), 3, 8);

 36: 

 37: imshow(name, imgROI);

 38: cout << "------------------------------" << endl;

 39: }

 1:  

 2: bool sortByXAscend(Point a, Point b) { return (a.x<b.x); }

 3: bool sortByXDescend(Point a, Point b) { return (a.x>b.x); }

 4: bool sortByYAscend(Point a, Point b) { return (a.y<b.y); }

 5: bool sortByYDescend(Point a, Point b) { return (a.y>b.y); }