CogCNLSearchPattern.EdgeThresholdLow Property

CogCNLSearchPattern EdgeThresholdLow Property

Cognex VisionPro

Edges with strengths below the low threshold are excluded from the trained pattern. Edges with strengths between low & high (inclusive) are included if 8-connected to an edge already belonging to the trained pattern. Only applies to NonLinear CNLPAS.

Namespace: Cognex.VisionPro.CNLSearch
Assembly: Cognex.VisionPro.CNLSearch (in Cognex.VisionPro.CNLSearch.dll) Version: 65.1.0.0

Syntax

C++

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public int EdgeThresholdLow { get; set; }

public int EdgeThresholdLow { get; set; }

Public Property EdgeThresholdLow As Integer 
	Get 
	Set

Public Property EdgeThresholdLow As Integer 
	Get 
	Set

public:
property int EdgeThresholdLow {
	int get ();
	void set (int value);
}

public:
property int EdgeThresholdLow {
	int get ();
	void set (int value);
}

Property Value

Type: Int32

Events

Event Type	Reason
CogCNLSearchPattern Changed	Fires when the value of this property changes. The following state flag may be affected: SfEdgeThresholdLow
CogCNLSearchPattern Changed	Fires when both the low and high thresholds change but the pattern does not become untrained (because it has not been trained). The following state flags may be affected: SfEdgeThresholdLow SfEdgeThresholdHigh
CogCNLSearchPattern Changed	Fires when either or both thresholds change and the pattern becomes untrained. The following state flags may be affected:

Event Type

Reason

CogCNLSearchPattern Changed

Fires when the value of this property changes.

The following state flag may be affected:

SfEdgeThresholdLow

CogCNLSearchPattern Changed

Fires when both the low and high thresholds change but the pattern does not become untrained (because it has not been trained).

The following state flags may be affected:

CogCNLSearchPattern Changed

Fires when either or both thresholds change and the pattern becomes untrained.

The following state flags may be affected:

Exceptions

Exception	Condition
ArgumentException	The supplied value is less than 0 or greater than 255.

Remarks

All edges with strengths above the high threshold are included in the trained pattern. All edges with strengths below the low threshold are excluded from the edge map. Edges with strengths between the thresholds are included in the edge map if they are 8-connected (vertically, horizontally, or diagonally adjacent) to another edge with a strength above the threshold, either directly or through other edges with strengths between the thresholds. This property only applies to the Nonlinear CNLPAS algorithm.

The low threshold must be less than or equal to the high threshold; if this value is set above the high threshold, the high threshold is also set to the supplied value.

Default Value: 3.0