Java OpenCV-4.0.0 圖像處理33 視頻分析和對象跟蹤 角點檢測

package com.xu.opencv.video;

import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfPoint;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.highgui.HighGui;
import org.opencv.imgproc.Imgproc;
import org.opencv.videoio.VideoCapture;

/**
 * 
 * @ClassName: Corner   
 * @Description: TODO   
 * @author: hyacinth
 * @date: 2019年7月21日 下午6:23:30     
 * @Copyright: hyacinth
 */
public class Corner {

	MatOfPoint corners=new MatOfPoint();

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

	public static void main(String[] args) {
		Corner corner=new Corner();
		corner.corners();
	}

	/**
	 *  OpenCV-4.0.0 視頻分析和對象跟蹤 角點檢測與繪製
	 * @Title: corners   
	 * @Description: TODO 
	 * @param:       
	 * @return: void  
	 * @date: 2019年7月21日 下午6:28:51    
	 * @throws
	 */
	private void corners() {
		// 1 創建 VideoCapture 對象
		VideoCapture capture=new VideoCapture();
		// 2 使用 VideoCapture 對象讀取本地視頻
		capture.open("C:\\Users\\hyacinth\\Videos\\111.mp4");
		// 3 獲取視頻處理時的鍵盤輸入 我這裏是爲了在 視頻處理時如果按 Esc 退出視頻對象跟蹤
		int index=0;

		Mat video=new Mat();
		Mat gray=new Mat();

		int maxCorners=5000;
		double qualityLevel=0.01;
		int minDistance=10;
		int blockSize=3;
		int gradientSize=5;
		double k=0.04;

		while (capture.read(video)) {
			Imgproc.cvtColor(video, gray, Imgproc.COLOR_BGR2GRAY);

			Imgproc.goodFeaturesToTrack(gray, corners, maxCorners, qualityLevel, minDistance, new Mat(), blockSize, gradientSize, false, k);

			drawCorners(video,corners);

			HighGui.imshow("角點檢測", video);
			index=HighGui.waitKey(1);
			if (index==27) {
				capture.release();
				return;
			}
		}

	}

	/**
	 * OpenCV-4.0.0 視頻分析和對象跟蹤 繪製角點
	 * @Title: drawFeatures   
	 * @Description: TODO 
	 * @param: @param mat
	 * @param: @param corners MatOfPoint     
	 * @return: void Mat 
	 * @date: 2019年7月21日 下午4:00:53    
	 * @throws
	 */
	private void drawCorners(Mat mat,MatOfPoint corners) {
		int[] cornersData = new int[(int) (corners.total() * corners.channels())];
		corners.get(0, 0, cornersData);
		for (int i = 0; i < corners.rows(); i++) {
			Imgproc.circle(mat, new Point(cornersData[i * 2], cornersData[i * 2 + 1]), 2, new Scalar(0, 0,255), Imgproc.FILLED);
		}
	}


}