使用Hough线变换可以在给定的图像中检测直线。在OpenCV中有两种可用的Hough线变换，分别是标准Hough线变换和概率Hough线变换。
您可以使用Imgproc类的HoughLinesP()方法应用概率Hough线变换，该方法接受以下参数：
-
表示源图像和存储线条参数(r, Φ)的向量的两个Mat对象。
-
表示参数r（像素）和Φ（弧度）的分辨率的两个double变量。
-
表示“检测”一条线所需的最小交点数的整数。
示例
以下Java示例使用OpenCV的概率Hough线变换检测图像中的线条：
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;
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;
public class HoughLineProbabilisticTransform extends Application {
public void start(Stage stage) throws IOException {
//Loading the OpenCV core library
System.loadLibrary( Core.NATIVE_LIBRARY_NAME );
String file ="D:Imagesroad4.jpg";
Mat src = Imgcodecs.imread(file);
//Converting the image to Gray
Mat gray = new Mat();
Imgproc.cvtColor(src, gray, Imgproc.COLOR_RGBA2GRAY);
//Detecting the edges
Mat edges = new Mat();
Imgproc.Canny(gray, edges, 60, 60*3, 3, false);
// Changing the color of the canny
Mat cannyColor = new Mat();
Imgproc.cvtColor(edges, cannyColor, Imgproc.COLOR_GRAY2BGR);
//Detecting the hough lines from (canny)
Mat lines = new Mat();
Imgproc.HoughLinesP(edges, lines, 1, Math.PI/180, 50, 50, 10);
for (int i = 0; i < lines.rows(); i++) {
double[] data = lines.get(i, 0);
//Drawing lines on the image
Point pt1 = new Point(data[0], data[1]);
Point pt2 = new Point(data[2], data[3]);
Imgproc.line(cannyColor, pt1, pt2, new Scalar(0, 0, 255), 3);
}
//Converting matrix to JavaFX writable image
Image img = HighGui.toBufferedImage(cannyColor);
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 Line Transform");
stage.setScene(scene);
stage.show();
}
public static void main(String args[]) {
launch(args);
}
}
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输入图像
输出
执行后，上述代码将产生以下输出 −
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