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Journal of Electronic Imaging

Model-based algorithm for designing suboptimal morphological filters for restoring subtractive-noise-corrupted images
Author(s): Ian R. Joughin; Robert M. Haralick; Edward R. Dougherty
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Paper Abstract

Simple optimization procedures are used to obtain suboptimal filters based on the Matheron expansion for binary images corrupted by subtractive noise. The Matheron expansion allows us to represent all morphological filters as either a union of erosions or an intersection of dilations. We perform a search over a subset of the filters represented by the union-of-erosions version of the Matheron expansion. We present results for a set of simple binary images with regular borders and a more complex set with very irregular borders. Results are compared against results for binary closings.

Paper Details

Date Published: 1 October 1993
PDF: 12 pages
J. Electron. Imaging. 2(4) doi: 10.1117/12.152358
Published in: Journal of Electronic Imaging Volume 2, Issue 4
Show Author Affiliations
Ian R. Joughin, Univ. of Washington (United States)
Robert M. Haralick, Univ. of Washington (United States)
Edward R. Dougherty, Rochester Institute of Technology (United States)


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