Preliminary study on measurement of coarse surface roughness by computer vision

Xuezeng Zhao; Xiu-Zhen Zhang; Xifu Qiang

doi:10.1117/12.156353

22 September 1993 Preliminary study on measurement of coarse surface roughness by computer vision

Xuezeng Zhao, Xiu-Zhen Zhang, Xifu Qiang

Proceedings Volume 2101, Measurement Technology and Intelligent Instruments; (1993) https://doi.org/10.1117/12.156353
Event: Measurement Technology and Intelligent Instruments, 1993, Wuhan, China

Abstract

The working processes, machining devices and tools, cutting amount, consumption of materials, productivity and quality of products are directly affected by surface roughness. This paper gives an extensive review of methods used previously to measure coarse surface roughness, and concludes that computer vision is the most suitable technique. Then a new method is developed to measure coarse surface roughness by computer vision and the preliminary study shows that this method has the advantages of a noncontact,three-dimensional measurement, high speed and well correlates with stylus tracing method. This method can be used in classification and in-time measurement of coarse surface roughness.

Citation Download Citation

Xuezeng Zhao, Xiu-Zhen Zhang, and Xifu Qiang "Preliminary study on measurement of coarse surface roughness by computer vision", Proc. SPIE 2101, Measurement Technology and Intelligent Instruments, (22 September 1993); https://doi.org/10.1117/12.156353

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