/netlib/image

• file: image/morph.tgz
  for: 2D and 3D Mathematical Morphology
  by: Richard Alan Peters II, Electrical Engineering, Vanderbilt (615) 322-7924 rap2@vuse.vanderbilt.edu Mathematical morphology is a powerful tool for image analysis and enhancement. Morphological operators are shape-dependent, nonlinear image transforms such as erosion, dilation, opening, closing, and rank filters. The mathematical operators are defined in $n$ dimensions so it is possible to create programs that will operate on 1D signals, 2D images, or 3D datasets using exactly the same concepts.
  size: 379 kB

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Eric and Jack

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