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Proceedings Paper

Design and application of binary differencing filters
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Paper Abstract

For given binary image and degradation processes, an optimal mean-absolute-error translation- invariant filter can be designed via the representation of such filters as a union of morphological hit-or-miss transforms. The present paper investigates a different optimization methodology by representing translation-invariant filters as differencing filters. Rather than employing structuring templates to build the entire output image, as is done with direct hit-or- miss representation, differencing filters only employ templates that locate value flips (black-to- white or white-to-black). Differencing filters play a central role in several digital document processing tasks. It is shown how differencing filters are statistically designed and applied for image restoration and resolution conversion.

Paper Details

Date Published: 30 March 1995
PDF: 12 pages
Proc. SPIE 2422, Document Recognition II, (30 March 1995); doi: 10.1117/12.205835
Show Author Affiliations
Robert P. Loce, Xerox Webster Research Ctr. (United States)
Edward R. Dougherty, Rochester Institute of Technology (United States)

Published in SPIE Proceedings Vol. 2422:
Document Recognition II
Luc M. Vincent; Henry S. Baird, Editor(s)

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