1 January 1993 Discrimination of surface properties using BRDF-variance estimators as feature variables
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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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hendrik Rothe, 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); doi: 10.1117/12.141002; http://dx.doi.org/10.1117/12.141002
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KEYWORDS
Bidirectional reflectance transmission function

Optical testing

Statistical analysis

Copper

Defect detection

Mirrors

Sensors

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