Example Detect Black Ellipses

BinaryEllipseDetector will detect ellipses inside an image which are black to a high level of precision quickly. Detection is done inside a binary image with subpixel refinement inside a gray scale image. These ellipses are used by ellipses based calibration targets

Example Code:

• ExampleDetectBlackEllipse.java

Concepts:

• Ellipses
• Fiducials

Related Examples:

• Black Polygons
• Calibration Target

Videos:

• Ellipse Detector

Example Code

/**
 * Example of how to detect black ellipses with a white background inside of images. These ellipses will have a
 * high level of accuracy and are used in camera calibration else where.
 *
 * @author Peter Abeles
 */
public class ExampleDetectBlackEllipse {
	public static void main( String[] args ) {
		String[] images = new String[]{
				"shapes/polygons01.jpg",
				"shapes/shapes02.png",
				"fiducial/circle_hexagonal/image00.jpg",
				"fiducial/circle_hexagonal/image01.jpg"};

		ListDisplayPanel panel = new ListDisplayPanel();

		BinaryEllipseDetector<GrayU8> detector = FactoryShapeDetector.ellipse(null, GrayU8.class);

		for (String fileName : images) {
			BufferedImage image = UtilImageIO.loadImage(UtilIO.pathExample(fileName));

			GrayU8 input = ConvertBufferedImage.convertFromSingle(image, null, GrayU8.class);
			GrayU8 binary = new GrayU8(input.width, input.height);

			// Binarization is done outside to allows creative tricks. For example, when applied to a chessboard
			// pattern where square touch each other, the binary image is eroded first so that they don't touch.
			// The squares are expanded automatically during the subpixel optimization step.
			int threshold = (int)GThresholdImageOps.computeOtsu(input, 0, 255);
			ThresholdImageOps.threshold(input, binary, threshold, true);

			// it takes in a grey scale image and binary image
			// the binary image is used to do a crude polygon fit, then the grey image is used to refine the lines
			// using a sub-pixel algorithm
			detector.process(input, binary);

			// visualize results by drawing red polygons
			DogArray<BinaryEllipseDetector.EllipseInfo> found = detector.getFound();
			Graphics2D g2 = image.createGraphics();
			g2.setStroke(new BasicStroke(5));
			g2.setColor(Color.RED);
			for (int i = 0; i < found.size; i++) {
				VisualizeShapes.drawEllipse(found.get(i).ellipse, g2);
			}

			panel.addImage(image, new File(fileName).getName());
		}

		ShowImages.showWindow(panel, "Detected Ellipses", true);
	}
}