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Proceedings Paper

Receptive fields and the theory of discriminant operators
Author(s): Madan M. Gupta; Suresh K. Hungenahally
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Paper Abstract

Biological basis for machine vision is a notion which is being used extensively for the development of machine vision systems for various applications. In this paper we have made an attempt to emulate the receptive fields that exist in the biological visual channels. In particular we have exploited the notion of receptive fields for developing the mathematical functions named as discriminantfunctions for the extraction of transition information from signals and multi-dimensional signals and images. These functions are found to be useful for the development of artificial receptive fields for neuro-vision systems. 1.

Paper Details

Date Published: 1 February 1991
PDF: 12 pages
Proc. SPIE 1382, Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods, (1 February 1991); doi: 10.1117/12.25201
Show Author Affiliations
Madan M. Gupta, Univ. of Saskatchewan (Canada)
Suresh K. Hungenahally, Univ. of Saskatchewan (Canada)


Published in SPIE Proceedings Vol. 1382:
Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods
David P. Casasent, Editor(s)

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