You are here: Start » AVL.NET » AVL.DetectSingleCircle(AvlNet.Image, AvlNet.Region, float, float, float, AvlNet.HoughCircle?, AvlNet.Image, AvlNet.Image)

AVL.DetectSingleCircle(AvlNet.Image, AvlNet.Region, float, float, float, AvlNet.HoughCircle?, AvlNet.Image, AvlNet.Image)

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

Namespace:	AvlNet
Assembly:	AVL.NET.dll

Syntax


public static void DetectSingleCircle(
	AvlNet.Image inImage,
	AvlNet.Region inRoi,
	float inRadius,
	float inMinScore,
	float inEdgeThreshold,
	out AvlNet.HoughCircle? outCircle,
	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
Circle's radius
inMinScore: Type: System.Single
Minimum matching score
inEdgeThreshold: Type: System.Single
Minimum accepted edge magnitude
outCircle: Type: System.Nullable<AvlNet.HoughCircle>
Found circle
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 object of given radius (in pixels) in the inImage using the Hough Transform approach.

Examples

DetectSingleCircle performed on the sample image.

Hardware Acceleration

This operation supports automatic parallelization for multicore and multiprocessor systems.