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Optical Engineering

Surface roughness classification using pattern recognition theory
Author(s): Wei Min Shi; Siak-Piang Lim; Kim Seng Lee
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Paper Abstract

Pattern recognition theory is introduced to perform rough surface classification. The light intensity distribution scattered from a rough surface is defined as the pattern vector of the rough surface. Using the Karhunen-Loeve transformation, the pattern vector is transformed into a feature vector for classification. To achieve a maximum separability, a modified method is proposed. The feasibility and effectiveness of the proposed method is demonstrated by computer simulation results.

Paper Details

Date Published: 1 June 1995
PDF: 5 pages
Opt. Eng. 34(6) doi: 10.1117/12.203125
Published in: Optical Engineering Volume 34, Issue 6
Show Author Affiliations
Wei Min Shi, Defence Science Organisation (Singapore)
Siak-Piang Lim, National Univ. of Singapore (Singapore)
Kim Seng Lee, National Univ. of Singapore (Singapore)

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