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Improving features and performance of binary erode and dilate filters

Lehmann, Gaetan
INRA
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Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/173
New: Prefer using the following doi: https://doi.org/10.54294/m8ll16
Published in The Insight Journal - 2006 January - June.
Submitted by Gaetan Lehmann on 2006-02-19T20:37:04Z.

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.