Fuzzy logic in vision perception (Invited Paper)

Madan M. Gupta; George K. Knopf

doi:10.1117/12.131609

1 November 1992 Fuzzy logic in vision perception (Invited Paper)

Madan M. Gupta, George K. Knopf

Proceedings Volume 1826, Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods; (1992) https://doi.org/10.1117/12.131609
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

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.

Citation Download Citation

Madan M. Gupta and George K. Knopf "Fuzzy logic in vision perception (Invited Paper)", Proc. SPIE 1826, Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods, (1 November 1992); https://doi.org/10.1117/12.131609

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