Difference between revisions of "Example Detect Black Ellipses"

From BoofCV
(Created page with " center|border|Red lines outline detected ellipses BinaryEllipseDetector will detect ellipses inside an image which are black to a high level o...")
 
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Example Code:
 
Example Code:
* [https://github.com/lessthanoptimal/BoofCV/blob/v0.25/examples/src/boofcv/examples/features/ExampleDetectBlackEllipse.java ExampleDetectBlackEllipse.java]
+
* [https://github.com/lessthanoptimal/BoofCV/blob/v0.29/examples/src/main/java/boofcv/examples/features/ExampleDetectBlackEllipse.java ExampleDetectBlackEllipse.java]
  
 
Concepts:
 
Concepts:
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* Fiducials
 
* Fiducials
  
Related Examples
+
Related Examples:
 +
* [[Example_Detect_Black_Polygons|Black Polygons]]
 
* [[Example_Detect_Calibration_Target| Calibration Target]]
 
* [[Example_Detect_Calibration_Target| Calibration Target]]
 +
 +
Videos:
 +
* [https://youtu.be/qMTtdiujAtQ?t=513 Ellipse Detector]
  
 
= Example Code =
 
= Example Code =
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"shapes/polygons01.jpg",
 
"shapes/polygons01.jpg",
 
"shapes/shapes02.png",
 
"shapes/shapes02.png",
"fiducial/circle_asymmetric/image00.jpg",
+
"fiducial/circle_hexagonal/image00.jpg",
"fiducial/circle_asymmetric/image01.jpg"};
+
"fiducial/circle_hexagonal/image01.jpg"};
  
 
ListDisplayPanel panel = new ListDisplayPanel();
 
ListDisplayPanel panel = new ListDisplayPanel();
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// pattern where square touch each other, the binary image is eroded first so that they don't touch.
 
// 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.
 
// The squares are expanded automatically during the subpixel optimization step.
int threshold = GThresholdImageOps.computeOtsu(input, 0, 255);
+
int threshold = (int)GThresholdImageOps.computeOtsu(input, 0, 255);
 
ThresholdImageOps.threshold(input, binary, threshold, true);
 
ThresholdImageOps.threshold(input, binary, threshold, true);
  
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// visualize results by drawing red polygons
 
// visualize results by drawing red polygons
FastQueue<EllipseRotated_F64> found = detector.getFoundEllipses();
+
FastQueue<BinaryEllipseDetector.EllipseInfo> found = detector.getFound();
 
Graphics2D g2 = image.createGraphics();
 
Graphics2D g2 = image.createGraphics();
 
g2.setStroke(new BasicStroke(3));
 
g2.setStroke(new BasicStroke(3));
 
g2.setColor(Color.RED);
 
g2.setColor(Color.RED);
 
for (int i = 0; i < found.size; i++) {
 
for (int i = 0; i < found.size; i++) {
VisualizeShapes.drawEllipse(found.get(i), g2);
+
VisualizeShapes.drawEllipse(found.get(i).ellipse, g2);
 
}
 
}
  

Latest revision as of 19:57, 18 March 2018

Red lines outline detected 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:

Concepts:

  • Ellipses
  • Fiducials

Related Examples:

Videos:

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
			FastQueue<BinaryEllipseDetector.EllipseInfo> found = detector.getFound();
			Graphics2D g2 = image.createGraphics();
			g2.setStroke(new BasicStroke(3));
			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);
	}
}