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Proceedings Paper

Hole spectrum: model-based optimization of morphological filters
Author(s): Edward R. Dougherty; Robert M. Haralick
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Paper Abstract

An image representation is developed that is useful for designing optimal morphological filters to restore images suffering from degradation due to subtractive noise. The image and noise models are predicated on the existence of some class of shape primitives into which both image and noise can be decomposed (relative to union). Both deterministic and nondeterministic cases are considered, and in each case the relevant model constraints are fully discussed. The type of filters that are naturally compatible with the image-noise models are analyzed, and the relation to general mean-square morphological optimization is explored.

Paper Details

Date Published: 1 July 1991
PDF: 9 pages
Proc. SPIE 1568, Image Algebra and Morphological Image Processing II, (1 July 1991); doi: 10.1117/12.46118
Show Author Affiliations
Edward R. Dougherty, Rochester Institute of Technology (United States)
Robert M. Haralick, Univ. of Washington (United States)

Published in SPIE Proceedings Vol. 1568:
Image Algebra and Morphological Image Processing II
Paul D. Gader; Edward R. Dougherty, Editor(s)

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