27 March 1989 Cognitive Vision Fields And Percepts For Image Processing
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Proceedings Volume 1002, Intelligent Robots and Computer Vision VII; (1989); doi: 10.1117/12.960302
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States
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.
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Madan M. Gupta, George K. Knopf, "Cognitive Vision Fields And Percepts For Image Processing", Proc. SPIE 1002, Intelligent Robots and Computer Vision VII, (27 March 1989); doi: 10.1117/12.960302; https://doi.org/10.1117/12.960302
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KEYWORDS
Visualization

Fuzzy logic

Cognition

Computer vision technology

Machine vision

Robot vision

Robots

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