You are here: Start » AVL.NET » AVL.CompareGoldenTemplate_Edges(AvlNet.Image, AvlNet.EdgeGoldenTemplate, AvlNet.CoordinateSystem2D, float, float?, float, float, int, AvlNet.Region, bool, AvlNet.Region, AvlNet.Region)

AVL.CompareGoldenTemplate_Edges(AvlNet.Image, AvlNet.EdgeGoldenTemplate, AvlNet.CoordinateSystem2D, float, float?, float, float, int, AvlNet.Region, bool, AvlNet.Region, AvlNet.Region)

Compares image edges with the edges of a perfect template. Significant differences are considered defects.

Namespace:AvlNet
Assembly:AVL.NET.dll

Syntax


public static void CompareGoldenTemplate_Edges(
	AvlNet.Image inImage,
	AvlNet.EdgeGoldenTemplate inGoldenTemplate,
	AvlNet.CoordinateSystem2D inGoldenTemplateAlignment,
	float inStdDevX,
	float? inStdDevY,
	float inEdgeThreshold,
	float inEdgeHysteresis,
	int inMaxDistance,
	out AvlNet.Region outDefects,
	out bool outDefectsPresent,
	out AvlNet.Region outMissingEdges,
	out AvlNet.Region outExcessiveEdges
)

Parameters

inImage
Type: AvlNet.Image
Input image
inGoldenTemplate
Type: AvlNet.EdgeGoldenTemplate
Golden edge template containing image with no defects
inGoldenTemplateAlignment
Type: AvlNet.CoordinateSystem2D
Adjusts the golden template to the position of the inspected object
inStdDevX
Type: System.Single
Amount of horizontal smoothing used by the edge filter
inStdDevY
Type: System.Nullable<System.Single>
Amount of vertical smoothing used by the edge filter (Auto = inStdDevX), or null.
inEdgeThreshold
Type: System.Single
Sufficient edge strength; edges of that strength will always be detected on the input image
inEdgeHysteresis
Type: System.Single
Value by which the edge threshold is decreased for edge points neighboring with sufficiently strong edges
inMaxDistance
Type: System.Int32
Maximal allowed distance between corresponding edges on the input and golden image
outDefects
Type: AvlNet.Region
Region of detected defects
outDefectsPresent
Type: System.Boolean
Flag indicating whether any defects were detected
outMissingEdges
Type: AvlNet.Region
Edges present on the golden image that are missing on the input image
outExcessiveEdges
Type: AvlNet.Region
Edges that are not present on the golden image

See also