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CreateGoldenTemplate_Edges

Header:	AVL.h
Namespace:	avl
Module:	FoundationPro

Creates golden template for application in CompareGoldenTemplate_Edges filter.

Syntax

void avl::CreateGoldenTemplate_Edges
(
	const avl::Image& inTemplateImage,
	atl::Optional<const avl::Rectangle2D&> inTemplateArea,
	atl::Optional<const avl::Region&> inMask,
	atl::Optional<const avl::CoordinateSystem2D&> inTemplateAreaAlignment,
	float inStdDevX,
	atl::Optional<float> inStdDevY,
	float inEdgeThreshold,
	float inEdgeHysteresis,
	avl::EdgeGoldenTemplate& outGoldenTemplate,
	avl::Image& diagCroppedImage,
	avl::Region& diagCroppedEdges,
	avl::Region& diagEdges
)

Parameters

Name	Type	Range	Default	Description
inTemplateImage	const Image&			Template image containing an object with no defects
inTemplateArea	Optional<const Rectangle2D&>		NIL	Desired area to compare
inMask	Optional<const Region&>		NIL	Range of pixels to compare
inTemplateAreaAlignment	Optional<const CoordinateSystem2D&>		NIL	Alignment of template bounded by inTemplateArea
inStdDevX	float	0.0 -	2.0f	Amount of horizontal smoothing used by the edge filter
inStdDevY	Optional<float>	0.0 -	NIL	Amount of vertical smoothing used by the edge filter (Auto = inStdDevX)
inEdgeThreshold	float	0.0 -	35.0f	Sufficient edge strength; edges of that strength will always be detected on the template image
inEdgeHysteresis	float	0.0 -	15.0f	Value by which the edge threshold is decreased for edge points neighboring with sufficiently strong edges
outGoldenTemplate	EdgeGoldenTemplate&			The output golden template structure
diagCroppedImage	Image&			Cropped image to be analyzed
diagCroppedEdges	Region&			Edges found on the cropped image
diagEdges	Region&			Edges projected onto the input image

Description

This filter creates a template structure that can be later used in CompareGoldenTemplate_Edges filter.

This method is especially useful for finding defects of the object shape. Due to invulnerability to color changes, it may be used in appliances with changing light conditions.

More information about this technique can be found in Machine Vision Guide: Golden Template.

Hints

A golden template comparison filter should be preceded with filters finding the object in certain location. Most typically we do this with LocateSingleObject_Edges1 filter.
Connect the inTemplateImage input with the image containing the perfect object.
Set inEdgeThreshold, inEdgeHysteresis, inStdDevX and inStdDevY as in DetectEdges_AsRegion filter. These will control detection of the edges used for object comparison.

Remarks