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Proceedings Paper

Fuzzy morphological filters
Author(s): Edward R. Dougherty; Divyendu Sinha; Purnendu Sinha
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Paper Abstract

The theory of fuzzy mathematical morphology is well-developed, including the characterization of fuzzy Minkowski algebra and extensions of the basic Matheron representation theorems. The present paper provides a natural paradigm for the lifting of crisp-set binary filters to fuzzy filters. The paradigm is based on considering gray-scale realizations of binary images as [0,1]-valued fuzzy images and then processing them in a manner compatible with their interpretation as fuzzy binary images. Various filters are implemented in the paper: smoothing, edge detection, peak detection, and object detection.

Paper Details

Date Published: 1 November 1992
PDF: 13 pages
Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); doi: 10.1117/12.131550
Show Author Affiliations
Edward R. Dougherty, Rochester Institute of Technology (United States)
Divyendu Sinha, CUNY/College of Staten Island (United States)
Purnendu Sinha, Stevens Institute of Technology (Canada)


Published in SPIE Proceedings Vol. 1825:
Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)

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