Journal
EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING
Volume 2002, Issue 7, Pages 667-678Publisher
HINDAWI LTD
DOI: 10.1155/S1110865702203145
Keywords
visual inspection; surface reflection; flaw detection; segmentation; statistical classification; feature selection
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This paper presents a surface inspection prototype of an automatic system for precision ground metallic surfaces, in this case bearing rolls. The surface reflectance properties are modeled and verified with optical experiments. The aim being to determine the optical arrangement for illumination and observation, where the contrast between errors and intact surface is maximized. A new adaptive threshold selection algorithm for segmentation is presented. Additionally, is included an evaluation of a large number of published sequential search algorithms for selection of the best subset of features for the classification with a comparison of their computational requirements. Finally, the results of classification for 540 flaw images are presented.
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