SoGaussianDerivativeProcessing Class Reference
[Other Derivatives]

SoGaussianDerivativeProcessing image filter More...

#include <ImageViz/Engines/EdgeDetection/OtherDerivatives/SoGaussianDerivativeProcessing.h>

Inheritance diagram for SoGaussianDerivativeProcessing:

List of all members.

Public Member Functions
	SoGaussianDerivativeProcessing ()
Public Attributes
SoSFEnum	computeMode
SoSFImageDataAdapter	inImage
SoSFVec3f	standardDeviation
SoSFVec3i32	orderDerivative
SoImageVizEngineOutput < SoSFImageDataAdapter, SoImageDataAdapter * >	outImage

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Detailed Description

SoGaussianDerivativeProcessing image filter

SoGaussianDerivativeProcessing approximates the convolution of an image with a Gaussian kernel or the derivative of a Gaussian kernel.

The filter is based on the recursive filtering method proposed by R.Deriche in IEEE-PAMI Vol.12, No.1, January 1990, pp 78-87, "Fast Algorithms for Low-Level Vision". Note that this filter has an infinite impulse response and takes advantage of the separability of the Gaussian kernel. Using this mode, the computation time is independent of the standard deviation.

FILE FORMAT/DEFAULT

GaussianDerivativeProcessing {

computeMode	MODE_AUTO
inImage	NULL
standardDeviation	1.0f 1.0f 1.0f
orderDerivative	0 0 0

}

Library references: gaussianderivatives gaussianderivatives3d

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Constructor & Destructor Documentation

SoGaussianDerivativeProcessing::SoGaussianDerivativeProcessing

(

)

Constructor.

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Member Data Documentation

SoSFEnum SoGaussianDerivativeProcessing::computeMode

Select the compute Mode (2D or 3D or AUTO) Use enum ComputeMode.

Default is MODE_AUTO

SoSFImageDataAdapter SoGaussianDerivativeProcessing::inImage

Input image.

Default value is NULL. Supported types include: grayscale image.

SoSFVec3i32 SoGaussianDerivativeProcessing::orderDerivative

Derivation order for each direction (X, Y and Z).

Each value must be 0, 1 or 2. Default value is SbVec3i32(0,0,0).

SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter*> SoGaussianDerivativeProcessing::outImage

Output image.

Default value is NULL. Supported types include: grayscale binary label color image.

SoSFVec3f SoGaussianDerivativeProcessing::standardDeviation

Sigma for each direction (X, Y and Z).

Each value must be greater than or equal to 0.1. Default value is SbVec3f(1.0f,1.0f,1.0f).

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The documentation for this class was generated from the following file:

• ImageViz/Engines/EdgeDetection/OtherDerivatives/SoGaussianDerivativeProcessing.h