Class VLAdaptiveThreshold.TVLAdaptiveThreshold
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=== C# (.NET): === | === C# (.NET): === | ||
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− | '''public ref class''' | + | '''public ref class''' AdaptiveThreshold : [[Class VLCommonFilter.TVLCommonFilter|Mitov.VisionLab.CommonFilter]] |
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== Summary == | == Summary == | ||
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Use this component to perform Adaptive threshold algorithm | Use this component to perform Adaptive threshold algorithm | ||
for edge detection. | for edge detection. | ||
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+ | <b>Diagram:</b> | ||
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+ | [[Image:VLAdaptiveThreshold_Preview.png]] | ||
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=== Published === | === Published === | ||
*[[Property SLCommonFilter.TSLBasicThreadedEnableFilter.Enabled|Enabled]] | *[[Property SLCommonFilter.TSLBasicThreadedEnableFilter.Enabled|Enabled]] | ||
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== From [[Class SLCommonFilter.TSLBasicThreadedFilter|TSLBasicThreadedFilter]] == | == From [[Class SLCommonFilter.TSLBasicThreadedFilter|TSLBasicThreadedFilter]] == |
Latest revision as of 00:30, 26 June 2013
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Package: VisionLabPkg
Unit: VLAdaptiveThreshold
Inherits: TVLCommonFilter
Contents |
Syntax
Delphi:
type TVLAdaptiveThreshold = class( TVLCommonFilter )
C++ Builder:
class TVLAdaptiveThreshold : public TVLCommonFilter
Visual C++ (MFC):
class CTVLAdaptiveThreshold : public CTVLCommonFilter
C# (.NET):
public ref class AdaptiveThreshold : Mitov.VisionLab.CommonFilter
Summary
Adaptive threshold edge detection.
Description
Use this component to perform Adaptive threshold algorithm for edge detection.
Diagram:
Example:
Original Image: | BlockSize := 3; Subtract := 7 : |
Properties
Published
- BlockSize - Size of the matrix block for the adaptive threshold
- Subtract - Value subtracted from mean or weighted mean.
- Inversed - Inverse the output.
- ThresholdType - The threshold type.
From TVLCommonFilter
Properties
Public
Methods
Public
- procedure ProcessFrame(Image : IVLImageBuffer)
- procedure ProcessFrame(InImage : IVLImageBuffer; var OutImage : IVLImageBuffer)
- procedure ProcessBitmap(InBitmap : TBitmap; OutBitmap : TBitmap)