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AVL.DetectMultipleCircles(AvlNet.Image, AvlNet.Region, float, float, float, float, AvlNet.HoughCircle[], AvlNet.Image, AvlNet.Image)

Finds circles of a given radius in the input image.

Namespace:	AvlNet
Assembly:	AVL.NET.dll

Syntax


public static void DetectMultipleCircles(
	AvlNet.Image inImage,
	AvlNet.Region inRoi,
	float inRadius,
	float inMaxOverlap,
	float inMinScore,
	float inEdgeThreshold,
	out AvlNet.HoughCircle[] outCircles,
	out AvlNet.Image diagGradientMagnitudeImage,
	out AvlNet.Image diagScoreImage
)

Parameters

inImage: Type: AvlNet.Image
Input image
inRoi: Type: AvlNet.Region
Input region of interest, or null.
inRadius: Type: System.Single
Circles' radius
inMaxOverlap: Type: System.Single
Maximum accepted overlapping coefficient
inMinScore: Type: System.Single
Minimum matching score
inEdgeThreshold: Type: System.Single
Minimum accepted edge magnitude
outCircles: Type: AvlNet.HoughCircle
Found circles
diagGradientMagnitudeImage: Type: AvlNet.Image
Visualized gradients magnitude of an input image
diagScoreImage: Type: AvlNet.Image
Calculated score for each pixel of an input image

Description

The operation detects circular objects of given radius (in pixels) in the inImage using the Hough Transform approach. The output array is ordered from best matching to worst matching results.

The parameter inMaxOverlap defines how much the detected circles can overlap. The value of 0 means no overlapping is allowed, and also that each circle must be fully contained in the search ROI, whereas the value of 1 allows full overlapping.

Examples

DetectMultipleCircles performed on the sample image.

Hardware Acceleration

This operation supports automatic parallelization for multicore and multiprocessor systems.