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package opencvtutorial;
/**
* @file opencvtutorial.HoughLines.java
* @brief This program demonstrates line finding with the Hough transform
*/
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 org.scijava.nativelib.NativeLoader;
class HoughLinesRun {
public void run(String[] args) {
// Declare the output variables
Mat dst = new Mat(), cdst = new Mat(), cdstP;
// ! [load]
String default_file = "data/sudoku.png";
String filename = ((args.length > 0) ? args[0] : default_file);
// Load an image
Mat src = Imgcodecs.imread(filename, Imgcodecs.IMREAD_GRAYSCALE);
// Check if image is loaded fine
if (src.empty()) {
System.out.println("Error opening image!");
System.out.println("Program Arguments: [image_name -- default " + default_file + "] \n");
System.exit(-1);
}
// ! [load]
// ! [edge_detection]
// Edge detection
Imgproc.Canny(src, dst, 50, 200, 3, false);
// ! [edge_detection]
// Copy edges to the images that will display the results in BGR
Imgproc.cvtColor(dst, cdst, Imgproc.COLOR_GRAY2BGR);
cdstP = cdst.clone();
// ! [hough_lines]
// Standard Hough Line Transform
Mat lines = new Mat(); // will hold the results of the detection
Imgproc.HoughLines(dst, lines, 1, Math.PI / 180, 150); // runs the actual detection
// ! [hough_lines]
// ! [draw_lines]
// Draw the lines
for (int x = 0; x < lines.rows(); x++) {
double rho = lines.get(x, 0)[0], theta = lines.get(x, 0)[1];
double a = Math.cos(theta), b = Math.sin(theta);
double x0 = a * rho, y0 = b * rho;
Point pt1 = new Point(Math.round(x0 + 1000 * (-b)), Math.round(y0 + 1000 * (a)));
Point pt2 = new Point(Math.round(x0 - 1000 * (-b)), Math.round(y0 - 1000 * (a)));
Imgproc.line(cdst, pt1, pt2, new Scalar(0, 0, 255), 3, Imgproc.LINE_AA, 0);
}
// ! [draw_lines]
// ! [hough_lines_p]
// Probabilistic Line Transform
Mat linesP = new Mat(); // will hold the results of the detection
Imgproc.HoughLinesP(dst, linesP, 1, Math.PI / 180, 50, 50, 10); // runs the actual detection
// ! [hough_lines_p]
// ! [draw_lines_p]
// Draw the lines
for (int x = 0; x < linesP.rows(); x++) {
double[] l = linesP.get(x, 0);
Imgproc.line(cdstP, new Point(l[0], l[1]), new Point(l[2], l[3]), new Scalar(0, 0, 255), 3, Imgproc.LINE_AA,
0);
}
// ! [draw_lines_p]
// ! [imshow]
// Show results
HighGui.imshow("Source", src);
HighGui.imshow("Detected Lines (in red) - Standard Hough Line Transform", cdst);
HighGui.imshow("Detected Lines (in red) - Probabilistic Line Transform", cdstP);
// ! [imshow]
// ! [exit]
// Wait and Exit
HighGui.waitKey();
System.exit(0);
// ! [exit]
}
}
public class HoughLines {
static {
try {
// Load the native OpenCV library
NativeLoader.loadLibrary(Core.NATIVE_LIBRARY_NAME);
} catch (Exception e) {
}
}
public static void main(String[] args) {
new HoughLinesRun().run(args);
}
}