25 November 1986 Surface Texture Measurement By Computer Vision
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Proceedings Volume 0661, Optical Testing and Metrology; (1986) https://doi.org/10.1117/12.938630
Event: 1986 Quebec Symposium, 1986, Quebec City, Canada
Abstract
A fully automated, non-contacting, full field method is presented to measure the surface roughness parameters using a computer vision system and image processing techniques. The texture features, namely, coarseness, contrast and roughness are extracted from digitized images of standard surface roughness comparator plates and correlated with the arithmetic average roughness (Ra) of the surface. The vision system offers a fast and accurate method for the on-line automated surface roughness inspection of machined components.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Y. J. Chao, Y. J. Chao, C. Lee, C. Lee, M. A. Sutton, M. A. Sutton, W. H. Peters, W. H. Peters, } "Surface Texture Measurement By Computer Vision", Proc. SPIE 0661, Optical Testing and Metrology, (25 November 1986); doi: 10.1117/12.938630; https://doi.org/10.1117/12.938630
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