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Proceedings Paper

Discrimination of surface properties using BRDF-variance estimators as feature variables
Author(s): Hendrik Rothe; Horst Truckenbrodt
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Paper Abstract

By means of image processing it is often difficult to detect minor defects of smooth surfaces such as glass and polished metal or ceramics. It was found that certain statistical moments of the bidirectional reflectance density function (BRDF) contain consistent information regarding different kinds of defects. Using Multivariate Discriminant Analysis with BRDF moments as feature variables the defect recognition and classification can be carried out in a straightforward way. Because the classification algorithm is very simple it is suitable for real- time application.

Paper Details

Date Published: 1 January 1993
PDF: 11 pages
Proc. SPIE 1781, Specification and Measurement of Optical Systems, (1 January 1993); doi: 10.1117/12.141002
Show Author Affiliations
Hendrik Rothe, Friedrich-Schiller-Univ. Jena (Germany)
Horst Truckenbrodt, Friedrich-Schiller-Univ. Jena (Germany)

Published in SPIE Proceedings Vol. 1781:
Specification and Measurement of Optical Systems

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