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Proceedings Paper

Fuzzy logic in vision perception (Invited Paper)
Author(s): Madan M. Gupta; George K. Knopf
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Paper Abstract

Our innate ability to process and interpret large volumes of poorly defined visual data, in essence to perceive visual information, enables us to function effectively in a continually changing complex world. As knowledge engineers, it would be highly desirable to incorporate such flexibility into artificial systems. Fuzzy logic is a mathematical tool created to help synthesize complex systems and decision processes that must deal with imprecise or ambiguous information. In terms of vision, this ambiguity arises from the meanings attached to the sensor inputs and the rules used to describe the relationship between the various informative visual attributes. Notions that pertain to vision perception such as fuzzy images, fuzzy mathematical operators and fuzzy inference procedures are outlined in this paper.

Paper Details

Date Published: 1 November 1992
PDF: 17 pages
Proc. SPIE 1826, Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods, (1 November 1992); doi: 10.1117/12.131609
Show Author Affiliations
Madan M. Gupta, Univ. of Saskatchewan (Canada)
George K. Knopf, Univ. of Saskatchewan (Canada)


Published in SPIE Proceedings Vol. 1826:
Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods
David P. Casasent, Editor(s)

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