OpenCV 霍夫圆变换的 Java 实现。
你可以使用霍夫圆变换检测给定图像中的圆。你可以使用 HoughCircles() 方法应用霍夫圆变换,此方法接受以下参数 −
一个表示输入图像的 Mat 对象。
一个 Mat 对象以存储所找到圆的输出向量。
一个表示检测方法的整型变量。
两个双精度变量,表示累加器分辨率与图像分辨率的逆比和检测到的圆的中心之间的最小距离。
示例
import org.opencv.core.Core; import org.opencv.core.Mat; 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; import java.awt.Image; import java.awt.image.BufferedImage; import java.io.IOException; import javafx.application.Application; import javafx.embed.swing.SwingFXUtils; import javafx.scene.Group; import javafx.scene.Scene; import javafx.scene.image.ImageView; import javafx.scene.image.WritableImage; import javafx.stage.Stage; public class HoughCircleTransform extends Application { public void start(Stage stage) throws IOException { //Loading the OpenCV core library System.loadLibrary( Core.NATIVE_LIBRARY_NAME ); String file ="D:\Images\compass.jpg"; Mat src = Imgcodecs.imread(file); //Converting the image to Gray Mat gray = new Mat(); Imgproc.cvtColor(src, gray, Imgproc.COLOR_RGBA2GRAY); //Blurring the image Mat blur = new Mat(); Imgproc.medianBlur(gray, blur, 5); //Detecting the Hough Circles Mat circles = new Mat(); Imgproc.HoughCircles(blur, circles, Imgproc.HOUGH_GRADIENT, Math.PI/180, 150); for (int i = 0; i < circles.cols(); i++ ) { double[] data = circles.get(0, i); Point center = new Point(Math.round(data[0]), Math.round(data[1])); // circle center Imgproc.circle(src, center, 1, new Scalar(0, 0, 255), 3, 8, 0 ); // circle outline int radius = (int) Math.round(data[2]); Imgproc.circle(src, center, radius, new Scalar(0,0,255), 3, 8, 0 ); } //Converting matrix to JavaFX writable image Image img = HighGui.toBufferedImage(src); WritableImage writableImage= SwingFXUtils.toFXImage((BufferedImage) img, null); //Setting the image view ImageView imageView = new ImageView(writableImage); imageView.setX(10); imageView.setY(10); imageView.setFitWidth(575); imageView.setPreserveRatio(true); //Setting the Scene object Group root = new Group(imageView); Scene scene = new Scene(root, 595, 400); stage.setTitle("Hough Circle Transform"); stage.setScene(scene); stage.show(); } public static void main(String args[]) { launch(args); } }
输入图像
输出
执行上述操作后会产生以下输出 −
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