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Automatic Recognition for the Bearing of Scraped Surfaces by Image Processing Techniques

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Book cover Proceedings of the Twenty-Ninth International Matador Conference

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Summary

An automatic image recognition system that comprises a CCD camera, frame memory and computer, has been built to recognize the bearing of scraped surfaces. Elimination of the influence due to uneven lighting by computer software, and reduction of the noise component contained in image data by introducing the mathematical morphology method were attempted. The results were successful. Furthermore, comparison of unevenness of the scraped surface measured by coordinate measuring machine with the results obtained by the image processing system, has been made. Introduction of image processing techniques enables us to count the number of bearing spots per unit area on the scraped surface automatically, and the possibility of quantitative evaluation of flatness has also been shown.

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References

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Author information

Authors and Affiliations

  1. Keio University, Yokohama, Japan

    K. Mitsui & K. Nomura

Authors
  1. K. Mitsui
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  2. K. Nomura
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Editor information

Editors and Affiliations

  1. Division of Manufacturing and Machine Tools, Department of Mechanical Engineering, UMIST, UK

    J. Atkinson , G. Barrow , M. Burdekin , N. R. Chitkara  & R. G. Hannam , , ,  & 

Copyright information

© 1992 Department of Mechanical Engineering University of Manchester Institute of Science and Technology

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Mitsui, K., Nomura, K. (1992). Automatic Recognition for the Bearing of Scraped Surfaces by Image Processing Techniques. In: Atkinson, J., Barrow, G., Burdekin, M., Chitkara, N.R., Hannam, R.G. (eds) Proceedings of the Twenty-Ninth International Matador Conference. Palgrave, London. https://doi.org/10.1007/978-1-349-12433-6_40

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  • DOI: https://doi.org/10.1007/978-1-349-12433-6_40

  • Publisher Name: Palgrave, London

  • Print ISBN: 978-1-349-12435-0

  • Online ISBN: 978-1-349-12433-6

  • eBook Packages: EngineeringEngineering (R0)

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