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AVL.DetectEdges_AsRegion_Mask

Extracts a pixel-precise region of continuous edges. Faster, yet less accurate version.

Namespace:AvlNet
Assembly:AVL.NET.dll

Syntax

C++
C#
 
public static void DetectEdges_AsRegion_Mask
(
	AvlNet.Image inImage,
	NullableRef<AvlNet.Region> inRoi,
	AvlNet.EdgeMaskFilter inEdgeMaskFilter,
	float inEdgeThreshold,
	float inEdgeHysteresis,
	float inMaxJoiningDistance,
	int inMinBlobArea,
	AvlNet.Region outEdgeRegion,
	AvlNet.Image diagGradientMagnitudeImage
)

Parameters

Name Type Range Default Description
inImageAvlNet.ImageImage from which edges will be extracted.
inRoiAvlNet.NullableRef<AvlNet.Region>Region of the image from which edges will be extracted. Default value: atl::NIL.
inEdgeMaskFilterAvlNet.EdgeMaskFilterType of edge filter used for computing gradients.
inEdgeThresholdfloat<0.0f, INF>35.0fSufficient edge strength; edges of that strength will always be detected. Default value: 35.0f.
inEdgeHysteresisfloat<0.0f, INF>15.0fValue by which the edge threshold is decreased for edge points neighboring with sufficiently strong edges. Default value: 15.0f.
inMaxJoiningDistancefloat<0.0f, INF>0.0fMaximal distance between edges that can be joined. Default value: 0.0f.
inMinBlobAreaint<0, INF>1Minimal area of an edge blob. Default value: 1.
outEdgeRegionAvlNet.RegionRegion of the found edges.
diagGradientMagnitudeImageAvlNet.ImageVisualization of the gradient magnitude.

Description

The operation extracts edges from the inRoi region in the inImage image and stores the result in the outEdgeRegion region. The extraction process is the same as in DetectEdges_AsPaths_Mask, the only difference being the data type of the result. This filter returns a region rather than array of subpixel-precise paths computed by DetectEdges_AsPaths_Mask.

The extraction process starts from gradient computing, what is done using chosen non-recursive filter with fixed size mask.

On the so computed gradient image threshold with hysteresis (as in ThresholdImage_Hysteresis) is performed with inEdgeThreshold and inEdgeHysteresis parameters. After this step only gradients which are strong enough are present. The resulting edge region can be much too thick, thus it has to be thinned. To achieve this, the non-maximum suppression is used. Every pixel with at least one of its neighbors having larger gradient is no longer considered to be an edge pixel (only neighbors in the direction of pixel's gradient matter).

Examples

DetectEdges_AsRegion_Mask performed on the sample image with inEdgeMaskFilter = Sobel, inEdgeThreshold = 20, inEdgeHysteresis = 5.

Hardware Acceleration

This operation supports automatic parallelization for multicore and multiprocessor systems.

Hardware acceleration settings may be manipulated with Settings class.

Errors

List of possible exceptions:

Error type Description
DomainError Unsupported edge mask filter in DetectEdges_AsRegion_Mask.

Function Overrides

See also