Surface Texture Measurement By Computer Vision

Y. J. Chao; C. Lee; M. A. Sutton; W. H. Peters

doi:10.1117/12.938630

25 November 1986 Surface Texture Measurement By Computer Vision

Y. J. Chao, C. Lee, M. A. Sutton, W. H. Peters

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.

Citation Download Citation

Y. J. Chao, C. Lee, M. A. Sutton, and W. H. Peters "Surface Texture Measurement By Computer Vision", Proc. SPIE 0661, Optical Testing and Metrology, (25 November 1986); https://doi.org/10.1117/12.938630

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available