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Proceedings Paper

Classification Of Textured Surfaces Based On Reflection Data
Author(s): Sharayu Tulpule; Charles H. Knapp
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Paper Abstract

A statistical approach to classification of surfaces based on the spatial intensity distribution of reflected light is proposed. In this approach, a surface is modelled as a collection of randomly oriented mirror-like micro-facets which give rise to a spatial intensity distribution of reflected light. A correlation matrix is formulated based on the co-occurrence of two given reflected intensities at points separated by a given angular distance. Features based on this matrix are proposed, and two classification schemes based on maximum-likelihood and nearest neighbor decision rules are implemented on these features. Experimental results for the classification schemes are presented for a variety of sample surfaces such as paper, cloth, felt, cork, etc. Success rates of

Paper Details

Date Published: 26 March 1986
PDF: 8 pages
Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); doi: 10.1117/12.964144
Show Author Affiliations
Sharayu Tulpule, University of Connecticut (United States)
Charles H. Knapp, University of Connecticut (United States)

Published in SPIE Proceedings Vol. 0635:
Applications of Artificial Intelligence III
John F. Gilmore, Editor(s)

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