A machine vision-based method of high-precision measurement of the size of workpiece

Xiyuan Jia; Tiantai Guo; Jun Zhao; Ming Kong; Shouchuang Lu; Yong Shen

doi:10.1117/12.2214215

26 January 2016 A machine vision-based method of high-precision measurement of the size of workpiece

Xiyuan Jia, Tiantai Guo, Jun Zhao, Ming Kong, Shouchuang Lu, Yong Shen

Author Affiliations +

Proceedings Volume 9903, Seventh International Symposium on Precision Mechanical Measurements; 99031Y (2016) https://doi.org/10.1117/12.2214215
Event: Seventh International Symposium on Precision Mechanical Measurements, 2015, Xia'men, China

Abstract

The posture and size of workpiece in pixel level can be determined through optimization of the internal parameters of the camera, utilizing the enclosing rectangle method based on rotation axis to position the workpiece. After selecting ROI of the object, the sub-pixel edge of workpiece is extracted using the bilinear interpolation algorithm and Hessian paradigm line fitting is utilized to find the object edge accurately. The industrial camera with 5 million pixels is used, and the sizes from 80mm to 150mm of the workpiece are measured under the condition of panorama shooting, with measurement repeatability reaching 0.015mm.

Citation Download Citation

Xiyuan Jia, Tiantai Guo, Jun Zhao, Ming Kong, Shouchuang Lu, and Yong Shen "A machine vision-based method of high-precision measurement of the size of workpiece", Proc. SPIE 9903, Seventh International Symposium on Precision Mechanical Measurements, 99031Y (26 January 2016); https://doi.org/10.1117/12.2214215

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