Discrimination of surface properties using BRDF-variance estimators as feature variables

Hendrik Rothe; Horst Truckenbrodt

doi:10.1117/12.141002

1 January 1993 Discrimination of surface properties using BRDF-variance estimators as feature variables

Hendrik Rothe, Horst Truckenbrodt

Proceedings Volume 1781, Specification and Measurement of Optical Systems; (1993) https://doi.org/10.1117/12.141002
Event: Optical Systems Design '92, 1992, Berlin, Germany

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.

Citation Download Citation

Hendrik Rothe and Horst Truckenbrodt "Discrimination of surface properties using BRDF-variance estimators as feature variables", Proc. SPIE 1781, Specification and Measurement of Optical Systems, (1 January 1993); https://doi.org/10.1117/12.141002

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