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AVL.DetectEdges Method

Extracts a pixel-precise image of continuous edges.

Namespace:	AvlNet
Assembly:	AVL.NET.dll

Syntax

public static void DetectEdges(
	AvlNet.Image inImage,
	AvlNet.Region inRoi,
	AvlNet.EdgeFilter inEdgeFilter,
	float inStdDevX,
	float? inStdDevY,
	float inEdgeThreshold,
	float inEdgeHysteresis,
	float inMaxJoiningDistance,
	int inMinBlobArea,
	out AvlNet.Image outEdgesImage,
	out AvlNet.Image diagGradientMagnitudeImage
)

Parameters

Name	Type	Range	Default	Description
inImage	AvlNet.Image			Image from which edges will be extracted.
inRoi	AvlNet.Region			Region of the image from which edges will be extracted. Default value: atl::NIL, or null.
inEdgeFilter	AvlNet.EdgeFilter			Type of edge filter used for computing gradients.
inStdDevX	float	<0.0f, INF>	2.0f	Amount of horizontal smoothing used by the edge filter. Default value: 2.0f.
inStdDevY	float ?	<0.0f, INF>		Amount of vertical smoothing used by the edge filter (Auto = inStdDevX). Default value: atl::NIL, or null.
inEdgeThreshold	float		15.0f	Sufficient edge strength; edges of that strength will always be detected. Default value: 15.0f.
inEdgeHysteresis	float	<0.0f, INF>	5.0f	Value by which the edge threshold is decreased for edge points neighboring with sufficiently strong edges. Default value: 5.0f.
inMaxJoiningDistance	float	<0.0f, INF>	0.0f	Maximal distance between edges that can be joined. Default value: 0.0f.
inMinBlobArea	int	<0, INF>	1	Minimal area of an edge blob. Default value: 1.
outEdgesImage	AvlNet.Image			Image of found edges.
diagGradientMagnitudeImage	AvlNet.Image			Visualization of the gradient magnitude.

Hardware Acceleration

This operation supports automatic parallelization for multicore and multiprocessor systems.

Hardware acceleration settings may be manipulated with Settings class.

AVL.DetectEdges Method

Syntax

Parameters

Hardware Acceleration

See also