A vision system for surface roughness assessment using neural networks-Reference-Cited by-同舟云学术

A vision system for surface roughness assessment using neural networks

Published:1998-06 Issue:6 Volume:14 Page:412-422
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Tsai Du-Ming,Chen Jeng-Jong,Chen Jeng-Fung

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/BF01304620.pdf

Reference11 articles.

1. B. H. Amstead, P. F. Ostwald and M. L. Begeman, Manufacturing Processes, John Wiley, New York, 1987.

2. G. A. Al-Kindi, R. M. Baul and K. F. Gill, ?An application of machine vision in the automated inspection of engineering surface?, International Journal of Production Research, 30, pp. 241?253, 1992.

3. F. Luk and V. Huynh, ?A vision system for in-process surface quality assessment?, Proceedings of the Vision '87 SME Conference, Detroit, Michigan, pp. 12-43?12-58, 1987.

4. D. E. P. Hoy and F. Yu, ?Surface quality assessment using computer vision methods?, Journal of Materials Processing Technology, 28, pp. 265?274, 1991.

5. W. Scott and R. M. Baul, ?Preliminary evaluation of proximity transducer for the measurement of surface texture?, International Conference on Metrology and Properties of Engineering Surfaces, Wear, 57, pp. 33?38, 1980.

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