Classification Of Textured Surfaces Based On Reflection Data

Sharayu Tulpule; Charles H. Knapp

doi:10.1117/12.964144

26 March 1986 Classification Of Textured Surfaces Based On Reflection Data

Sharayu Tulpule, Charles H. Knapp

Proceedings Volume 0635, Applications of Artificial Intelligence III; (1986) https://doi.org/10.1117/12.964144
Event: 1986 Technical Symposium Southeast, 1986, Orlando, United States

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

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Sharayu Tulpule and Charles H. Knapp "Classification Of Textured Surfaces Based On Reflection Data", Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); https://doi.org/10.1117/12.964144

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