Design of Surface Roughness Measuring System Based on Machine Vision
Yao Songli , Jin Jiahao , Wang Yuxuan
Abstract
Aimed at traditional light-section microscope measuring, the surface roughness measurement system based on machine vision was designed. The system configuration and the software principle were introduced in detail. Using measurement system various surface roughness parameters can be measured automatically and fast. Comparing the measurement results with the value of standard parts, it was proved that the system has a satisfying measurement precision.
[1] Wang Haitao, Liu Weiqiang, Yang Jianguo. Grinding surface roughness prediction model based on RBF Neural Network[J]. MACHINE TOOL AND HYDRAULICS, 2014,42(3): 107-111.
[2] Ma Cheng, Wang Junwu. On-line measurement of workpiece surface roughness[J]. CHINA INSTRUMENTATION, 2009,27(8): 67-69.
[3] Lu R and Tian G. On-line surface roughness measurement by laser light scattering[J]. Measurement Science and Technology, 2006,17(1):1496-1502.
[4] Tian G and Lu R. Surface measurement using active vision and light scattering[J]. Optics and Lasers in Engineering, 2007,45(1):131-139.
[5] Zhang Hui, Wang Yaonan, Zhou Bowen. Research on foreign substance detection system for medicinal solution based on machine vision[J]. 2009,30(3): 548-553.
[6] B. Dhanasekar, B. Ramamoorthy. Assessment of surface roughness based on super resolution reconstruction algorithm. Int J Adv Manuf Technol. 2008,35(1):1191-1205
Cites this article as
Y. S. . , J. J. , W. Y. ,
"Design of Surface Roughness Measuring System Based on Machine Vision", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-3, Issue-4, Page No-307-309, 2016. Available from:
Corresponding Author
Yao Songli
College of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai, China,