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Proceedings Paper

Algorithm development for fuzzy mathematical morphology
Author(s): Divyendu Sinha; Purnendu Sinha; Edward R. Dougherty
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Paper Abstract

A general paradigm for lifting binary morphological algorithms to fuzzy algorithms is employed to construct fuzzy versions of several standard morphological operations. The lifting procedure is based upon an epistemological interpretation of both image and filter fuzzifications. Algorithms are discussed for the following image processing tasks: shape detection, edge detection, and filtering union noise.

Paper Details

Date Published: 23 June 1993
PDF: 11 pages
Proc. SPIE 2030, Image Algebra and Morphological Image Processing IV, (23 June 1993); doi: 10.1117/12.146662
Show Author Affiliations
Divyendu Sinha, CUNY/College of Staten Island (United States)
Purnendu Sinha, Stevens Institute of Technology (Canada)
Edward R. Dougherty, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 2030:
Image Algebra and Morphological Image Processing IV
Edward R. Dougherty; Paul D. Gader; Jean C. Serra, Editor(s)

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