Filter Class

CVB.Net Documentation

Collection of Filter methods supported by the Common Vision Blox Foundation Package.

Inheritance Hierarchy

SystemObject
Stemmer.Cvb.FoundationFilter

Namespace: Stemmer.Cvb.Foundation
Assembly: Stemmer.Cvb.Foundation (in Stemmer.Cvb.Foundation.dll) Version: 14.0.0.0

Syntax

C++

Copy

public static class Filter

Public NotInheritable Class Filter

public ref class Filter abstract sealed

[<AbstractClassAttribute>]
[<SealedAttribute>]
type Filter =  class end

The Filter type exposes the following members.

Methods

	Name	Description
	BoxMax(Image, Size2D)	This function sets each pixel in the output image to the maximum value all the input image pixels in the rectangular neighborhood defined by the maskSize parameter
	BoxMax(Image, Size2D, Point2D)	This function sets each pixel in the output image to the maximum value all the input image pixels in the rectangular neighborhood defined by the maskSize and the maskOffset parameters.
	BoxMean(Image, Size2D)	This function sets each pixel in the output image to the average of all the input image pixels in the rectangular neighborhood defined by the maskSize parameter.
	BoxMean(Image, Size2D, Point2D)	This function sets each pixel in the output image to the average of all the input image pixels in the rectangular neighborhood defined by the maskSize and the maskOffset parameters. This has the effect of smoothing or blurring the input image.
	BoxMedian(Image, Size2D)	This function sets each pixel in the output image to the median value all the input image pixels in the rectangular neighborhood defined by the maskSize parameters.
	BoxMedian(Image, Size2D, Point2D)	This function sets each pixel in the output image to the median value all the input image pixels in the rectangular neighborhood defined by the maskSize and the maskOffset parameters.
	BoxMin(Image, Size2D)	This function sets each pixel in the output image to the minimum value all the input image pixels in the rectangular neighborhood defined by the maskSize parameter.
	BoxMin(Image, Size2D, Point2D)	This function sets each pixel in the output image to the minimum value all the input image pixels in the rectangular neighborhood defined by the maskSize and the maskOffset parameters.
	Canny	Edge filter using the Canny algorithm.
	ColorMedian	Apply a color-correct box median filter to an RGB image.
	Gauss	This function applies a low high pass Gaussian filter to an image.
	HighPass	This function applies a square high pass filter to an image.
	Laplace	This function applies a square high pass Laplace filter to an image.
	LowPass	This function applies a square low pass filter to an image.
	Prewitt	Applies a Prewitt edge filter to the input image.
	Roberts	Apply a Roberts edge detector to the input image.
	Scharr	Applies a Scharr edge filter to the input image.
	Sharpen	This function applies a Kernel3x3 sharpen filter to an image.
	Sobel	Applies a Sobel edge filter to the input image.
	Sobel2nd	Applies a 2nd order Sobel edge filter to the input image.
	Sobel2ndCross	Applies a 2nd order Sobel cross edge filter to the input image.
	User(Image, Double)	Apply a user-defined linear convolution filter to an image.
	User(Image, Double, Point2D)	Apply a user-defined linear convolution filter to an image.
	Wiener(Image, Size2D)	This function performs adaptive filtering of an image degraded by constant power additive noise.
	Wiener(Image, Size2D, Point2D)	This function performs adaptive filtering of an image degraded by constant power additive noise.
	Wiener(Image, Size2D, Double)	This function performs adaptive filtering of an image degraded by constant power additive noise.
	Wiener(Image, Size2D, Point2D, Double)	This function performs adaptive filtering of an image degraded by constant power additive noise.

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Reference

Stemmer.Cvb.Foundation Namespace