Machined surface texture parameters for occluded scene segmentation

D. K. Sharma; B. Veerabhadra Rao

doi:10.1117/12.171207

11 March 1994 Machined surface texture parameters for occluded scene segmentation

D. K. Sharma, B. Veerabhadra Rao

Proceedings Volume 2183, Machine Vision Applications in Industrial Inspection II; (1994) https://doi.org/10.1117/12.171207
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

Abstract

The surfaces generated by different manufacturing processes like shaping, grinding, spark erosion, and casting result in textures characteristic to the machining process. Investigations have been carried out for finding the suitability of texture in segmentation in the case of occluded object scene. The specimens are prepared under controlled conditions and their digitized pictures are recorded with suitable lighting arrangement. A number of texture parameters based on first-order and second- order statistics are evaluated from these digitized images along four directions. Optimum features were selected based on interclass and intraclass scatters. Two Bayesian classifiers and one linear discriminant space classifier were designed and their success rates in identifying the manufacturing process are reported.

Citation Download Citation

D. K. Sharma and B. Veerabhadra Rao "Machined surface texture parameters for occluded scene segmentation", Proc. SPIE 2183, Machine Vision Applications in Industrial Inspection II, (11 March 1994); https://doi.org/10.1117/12.171207

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