Hole spectrum: model-based optimization of morphological filters

Edward R. Dougherty; Robert M. Haralick

doi:10.1117/12.46118

1 July 1991 Hole spectrum: model-based optimization of morphological filters

Proceedings Volume 1568, Image Algebra and Morphological Image Processing II; (1991) https://doi.org/10.1117/12.46118
Event: San Diego, '91, 1991, San Diego, CA, United States

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.

Citation Download Citation

Edward R. Dougherty and Robert M. Haralick "Hole spectrum: model-based optimization of morphological filters", Proc. SPIE 1568, Image Algebra and Morphological Image Processing II, (1 July 1991); https://doi.org/10.1117/12.46118

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