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Proceedings Paper

Noise Reduction And Defect Segmentation Of The Surface Picture Of Bearing Rollers In The Presence Of Oil Pollution
Author(s): Y. Zhang; W. Xian; Z. Tu; E. L. Hall
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Paper Abstract

In this paper, we deal with the problem of defecting and segmenting the surface appearance defects of the bearing rollers with our specially designed inspection system. We propose two different methods to process the pictures obtained from different precision of rollers. Our algorithms are dimonstrated feasible to be implemented on general purpose hardware image processing architecture and thus achieve high speed and show the promise to be practical in the future.

Paper Details

Date Published: 27 March 1989
PDF: 8 pages
Proc. SPIE 1002, Intelligent Robots and Computer Vision VII, (27 March 1989); doi: 10.1117/12.960278
Show Author Affiliations
Y. Zhang, Chongqing University (China)
W. Xian, Chongqing University (China)
Z. Tu, University of Cincinnati (United States)
E. L. Hall, University of Cincinnati (United States)


Published in SPIE Proceedings Vol. 1002:
Intelligent Robots and Computer Vision VII
David P. Casasent, Editor(s)

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