Noise Reduction And Defect Segmentation Of The Surface Picture Of Bearing Rollers In The Presence Of Oil Pollution

Y. Zhang; W. Xian; Z. Tu; E. L. Hall

doi:10.1117/12.960278

27 March 1989 Noise Reduction And Defect Segmentation Of The Surface Picture Of Bearing Rollers In The Presence Of Oil Pollution

Y. Zhang, W. Xian, Z. Tu, E. L. Hall

Author Affiliations +

Proceedings Volume 1002, Intelligent Robots and Computer Vision VII; (1989) https://doi.org/10.1117/12.960278
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States

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.

Citation Download Citation

Y. Zhang, W. Xian, Z. Tu, and E. L. Hall "Noise Reduction And Defect Segmentation Of The Surface Picture Of Bearing Rollers In The Presence Of Oil Pollution", Proc. SPIE 1002, Intelligent Robots and Computer Vision VII, (27 March 1989); https://doi.org/10.1117/12.960278

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