Improving features and performance of binary erode and dilate filters

Abstract

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.