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Proceedings Paper

Object recognition using fuzzy set theoretic techniques
Author(s): Ashutosh Malaviya; Paritosh Malaviya
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Paper Abstract

In this paper state of the art of the fuzzy logic based visual object recognition systems are discussed. One of the major objectives of the computer vision is to recognize various objects from images. Application of fuzzy logic facilitates the smooth translation of ambiguous image information into natural language which can be processed by fuzzy set theory. Various methods of fuzzy object recognition are presented. Some rule based techniques are mentioned to show the applicability of object recognition in consumer electronics. A brief summary of fusion with neural networks and genetic algorithms is given.

Paper Details

Date Published: 1 September 1993
PDF: 8 pages
Proc. SPIE 1962, Adaptive and Learning Systems II, (1 September 1993); doi: 10.1117/12.150597
Show Author Affiliations
Ashutosh Malaviya, German National Research Ctr. for Computer Science (United States)
Paritosh Malaviya, Univ. of Maryland (United States)


Published in SPIE Proceedings Vol. 1962:
Adaptive and Learning Systems II
Firooz A. Sadjadi, Editor(s)

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