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Proceedings Paper

Machined surface texture parameters for occluded scene segmentation
Author(s): D. K. Sharma; B. Veerabhadra Rao
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Paper 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.

Paper Details

Date Published: 11 March 1994
PDF: 11 pages
Proc. SPIE 2183, Machine Vision Applications in Industrial Inspection II, (11 March 1994); doi: 10.1117/12.171207
Show Author Affiliations
D. K. Sharma, Indian Institute of Technology (India)
B. Veerabhadra Rao, Indian Institute of Technology (India)


Published in SPIE Proceedings Vol. 2183:
Machine Vision Applications in Industrial Inspection II
Benjamin M. Dawson; Stephen S. Wilson; Frederick Y. Wu, Editor(s)

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