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Proceedings Paper

Cognitive Vision Fields And Percepts For Image Processing
Author(s): Madan M. Gupta; George K. Knopf
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Paper Abstract

In this paper, we introduce some new notions of perception and cognitive vision fields for the emulation of human vision. The attributes of an image (edges, colors, etc.) are assumed to have graded membership values distributed over the interval [0,1]. These graded attributes are responsible for the formation of cognitive fields. The information contained in these cognitive vision fields are extracted using numerous densely packed units called percepts. The "percept" is a neuron-like computational unit that responds to a group of neighborhood pixels rather than individual image pixels. Examples of cognitive vision fields for two gray-level images are presented.

Paper Details

Date Published: 27 March 1989
PDF: 12 pages
Proc. SPIE 1002, Intelligent Robots and Computer Vision VII, (27 March 1989); doi: 10.1117/12.960302
Show Author Affiliations
Madan M. Gupta, University of Saskatchewan (Canada)
George K. Knopf, University of Saskatchewan (Canada)

Published in SPIE Proceedings Vol. 1002:
Intelligent Robots and Computer Vision VII
David P. Casasent, Editor(s)

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