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Proceedings Paper

Optimal Morphological Filters for Pattern Restoration
Author(s): Dan Schonfeld; John Goutsias
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Paper Abstract

A theoretical analysis of morphological filters, for the "optimal" restoration of noisy binary images is presented. The problem is formulated in a general form, and an "optimal" solution is obtained by using fundamental tools from mathematical morphology and decision theory.

Paper Details

Date Published: 1 November 1989
PDF: 12 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970028
Show Author Affiliations
Dan Schonfeld, The Johns Hopkins University (United States)
John Goutsias, The Johns Hopkins University (United States)


Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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