ITKSmoothingRecursiveGaussianImage

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Group (Subgroup)

ITKImageProcessing (ITKImageProcessing)

Description

Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters.

This filter is implemented using the recursive gaussian filters. For multi-component images, the filter works on each component independently.

For this filter to be able to run in-place the input and output image types need to be the same and/or the same type as the RealImageType.

\par Wiki Examples:

\li All Examples

\li Gaussian smoothing that works with image adaptors

Parameters

Name Type Description
Sigma FloatVec3_t Set Sigma value. Sigma is measured in the units of image spacing. You may use the method SetSigma to set the same value across each axis or use the method SetSigmaArray if you need different values along each axis.
NormalizeAcrossScale bool This method does not effect the output of this filter. \sa RecursiveGaussianImageFilter::SetNormalizeAcrossScale

Required Geometry

Image

Required Objects

Kind Default Name Type Component Dimensions Description
Cell Attribute Array None N/A (1) Array containing input image

Created Objects

Kind Default Name Type Component Dimensions Description
Cell Attribute Array None (1) Array containing filtered image

References

[1] T.S. Yoo, M. J. Ackerman, W. E. Lorensen, W. Schroeder, V. Chalana, S. Aylward, D. Metaxas, R. Whitaker. Engineering and Algorithm Design for an Image Processing API: A Technical Report on ITK - The Insight Toolkit. In Proc. of Medicine Meets Virtual Reality, J. Westwood, ed., IOS Press Amsterdam pp 586-592 (2002). [2] H. Johnson, M. McCormick, L. Ibanez. The ITK Software Guide: Design and Functionality. Fourth Edition. Published by Kitware Inc. 2015 ISBN: 9781-930934-28-3 [3] H. Johnson, M. McCormick, L. Ibanez. The ITK Software Guide: Introduction and Development Guidelines. Fourth Edition. Published by Kitware Inc. 2015 ISBN: 9781-930934-27-6

Example Pipelines

Please see the description file distributed with this plugin.

DREAM3D Mailing Lists

If you need more help with a filter, please consider asking your question on the DREAM3D Users mailing list: https://groups.google.com/forum/?hl=en#!forum/dream3d-users