Improving features and performance of binary erode and dilate filters
| Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/173 |
Published in The Insight Journal - 2006 January - June.
Submitted by Gaetan Lehmann on 11-14-2006.
Binary erosion and dilation are the base filters of binary mathematical morphology.
In ITK 2.4.1 verb$BinaryDilateImageFilter$ and verb$BinaryErodeImageFilter$ implement
an efficient algorithm described in cite{Nikopoulos2000}. However, those filter lack support for boundary values, have a poor progress report, and can be quite inefficient
for complex 3D images.
In ITK 2.4.1 verb$BinaryDilateImageFilter$ and verb$BinaryErodeImageFilter$ implement
an efficient algorithm described in cite{Nikopoulos2000}. However, those filter lack support for boundary values, have a poor progress report, and can be quite inefficient
for complex 3D images.
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Improving_features_and_performance_of_binary_erode_and_dilate_filters.pdf (114Kb) [view paper]
binaryErodeDilate.tar.gz (324Kb)
binaryErodeDilate.tar.gz (324Kb)
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| Keywords: | Binary morphology, erosion, dilation |
| Toolkits: | ITK, CMake |
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