Java OpenCV-4.0.0 圖像處理27.1 Harris角點檢測

/**  
 * 
 * @Author: hyacinth
 * @Title: CornerCheck.java   
 * @Package comxu.opencv.image   
 * @Description: TODO: 
 * @Date: 2019年8月26日 下午9:25:47   
 * @Version V-1.0 
 * @Copyright: 2019 hyacinth
 * 
 */  
package comxu.opencv.image;

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.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;

/** 
 * @Author: hyacinth
 * @ClassName: CornerCheck   
 * @Description: TODO    
 * @Date: 2019年8月26日 下午9:25:47   
 * @Copyright: hyacinth
 */
public class CornerCheck {

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

	public static void main(String[] args) {
		shi_tomasi();
	}

	/**
	 * OpenCV-4.1.0 Harris 角點檢測
	 * @Author: hyacinth
	 * @Title: harris   
	 * @Description: TODO       
	 * @return void  
	 * @date: 2019年8月26日 下午10:13:10
	 */
	public static void harris() {
		Mat src=Imgcodecs.imread("C:\\Users\\hyacinth\\Pictures\\2.png");
		Mat gray=new Mat();
		Mat dst=new Mat();
		Imgproc.cvtColor(src, gray, Imgproc.COLOR_BGR2GRAY);

		Imgproc.cornerHarris(gray, dst, 2, 3, 0.04);
		Core.normalize(dst, dst, 0, 255,Core.NORM_MINMAX,-1,new Mat());
		Core.convertScaleAbs(dst, dst);

		Mat result=src.clone();
		for (int i = 0,row=result.rows(); i < row; i++) {
			for (int j = 0,col=result.cols(); j < col; j++) {
				if (dst.get(i,j).clone()[0]>130) {
					Imgproc.circle(result, new Point(i-3,j+2), 1, new Scalar(0,0,255),Imgproc.FILLED);
				}
			}
		}

		HighGui.imshow("Harris 角點檢測", result);
		HighGui.waitKey(0);
	}

}