DetectSingleCircle

Finds the strongest circle of a given radius in the input image.

Name	Type	Range	Description
inImage	Image		Input image
inRoi	Region *		Input region of interest
inRadius	Real	0.0 -	Circle's radius
inMinScore	Real	0.0 -	Minimum matching score
inEdgeThreshold	Real		Minimum accepted edge magnitude
outCircle	HoughCircle ?		Found circle
diagGradientMagnitudeImage	Image		Visualized gradients magnitude of an input image
diagScoreImage	Image		Calculated score for each pixel of an input image

Detection of a circular or close-to-circular object like a hole, pin, pill or particle.

The operation detects circular object of given radius (in pixels) in the inImage using the Hough Transform approach.

Connect an input image to the inImage input.
Define the expected circle radius on the inRadius input. Use the Ruler tool on an image preview if you are not sure.
Set inEdgeThreshold to define the minimum strength of edges that will be taken into account. Verify this value with the diagGradientMagnitudeImage output.
Experimentally set the inMinScore value, whose meaning is more or less "the number of pixels voting for a particular object location".

Description of usage of this filter can be found in examples and tutorial: Calibration of World Coordinates, Counting Saw Teeth.

DetectSingleCircle performed on the sample image.

This operation supports automatic parallelization for multicore and multiprocessor systems.

This filter is available on Basic Complexity Level.

This filters is member of DetectCircles filter group.