Skip to content

ITKOpeningByReconstructionImage

===============================

Group (Subgroup)

ITKImageProcessing (ITKImageProcessing)

Description

Opening by reconstruction of an image.

This filter preserves regions, in the foreground, that can completely contain the structuring element. At the same time, this filter eliminates all other regions of foreground pixels. Contrary to the mophological opening, the opening by reconstruction preserves the shape of the components that are not removed by erosion. The opening by reconstruction of an image "f" is defined as:

OpeningByReconstruction(f) = DilationByRecontruction(f, Erosion(f)).

Opening by reconstruction not only removes structures destroyed by the erosion, but also levels down the contrast of the brightest regions. If PreserveIntensities is on, a subsequent reconstruction by dilation using a marker image that is the original image for all unaffected pixels.

Opening by reconstruction is described in Chapter 6.3.9 of Pierre Soille's book "Morphological Image Analysis: Principles and Applications", Second Edition, Springer, 2003.

\author Gaetan Lehmann. Biologie du Developpement et de la Reproduction, INRA de Jouy-en-Josas, France.

\see GrayscaleMorphologicalOpeningImageFilter

Parameters

Name Type Description
FullyConnected bool Set/Get whether the connected components are defined strictly by face connectivity or by face+edge+vertex connectivity. Default is FullyConnectedOff. For objects that are 1 pixel wide, use FullyConnectedOn.
PreserveIntensities bool Set/Get whether the original intensities of the image retained for those pixels unaffected by the opening by reconstrcution. If Off, the output pixel contrast will be reduced.
KernelRadius FloatVec3_t N/A
KernelType int N/A

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