Significance of visual limitations in automated pattern recognition applications

Authors:
Samuel D Bedrosian
Affiliations:
Moore School of Electrical Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA
Venue:
Pattern Recognition Letters
Year:
1984

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Abstract

Man-machine interaction is critical for pattern recognition; say for automatic testing or medical diagnosis. Effective interface development requires quantitative limitations of the human visual system. A comprehensive effort to apply the theory of fuzzy sets to this system problem is outlined and illustrated.