Java中的Harris角点检测

Harris角点检测是一种计算机视觉算法，用于检测图像中的角点。它由Chris Harris和Mike Stephens在1988年提出。

在Java中，可以使用OpenCV库来实现Harris角点检测。以下是使用OpenCV实现Harris角点检测的示例代码：

import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfPoint;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.features2d.FeatureDetector;
import org.opencv.features2d.Features2d;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;

public class HarrisCornerDetection {

    public static void main(String[] args) {
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
        
        // Load image
        Mat image = Imgcodecs.imread("path/to/image.jpg");
        
        // Convert to grayscale
        Mat gray = new Mat();
        Imgproc.cvtColor(image, gray, Imgproc.COLOR_BGR2GRAY);
        
        // Apply Harris corner detector
        Mat corners = new Mat();
        Imgproc.cornerHarris(gray, corners, 2, 3, 0.04);
        
        // Threshold the corner response
        Mat threshold = new Mat();
        Core.normalize(corners, threshold, 0, 255, Core.NORM_MINMAX, CvType.CV_32FC1);
        Imgproc.threshold(threshold, threshold, 150, 255, Imgproc.THRESH_BINARY);
        
        // Draw circles around the detected corners
        Mat output = new Mat();
        Imgproc.cvtColor(gray, output, Imgproc.COLOR_GRAY2BGR);
        for (int i = 0; i < threshold.rows(); i++) {
            for (int j = 0; j < threshold.cols(); j++) {
                if (threshold.get(i, j)[0] > 0) {
                    Imgproc.circle(output, new Point(j, i), 5, new Scalar(0, 0, 255), 2);
                }
            }
        }
        
        // Display the output image
        Imgcodecs.imwrite("path/to/output.jpg", output);
    }
}

这段代码将加载一张图像，并在其中检测Harris角点。检测到的角点将用红色圆圈标记，并将输出到另一张图像中。