FPGA-based distortion correction for laser spot inspection system

Zhaoxia Zhang; Yang Han; Xiaodong Chen; Daoyin Yu

doi:10.1117/12.810437

12 January 2009 FPGA-based distortion correction for laser spot inspection system

Zhaoxia Zhang, Yang Han, Xiaodong Chen, Daoyin Yu

Author Affiliations +

Proceedings Volume 7133, Fifth International Symposium on Instrumentation Science and Technology; 71330R (2009) https://doi.org/10.1117/12.810437
Event: International Symposium on Instrumentation Science and Technology, 2008, Shenyang, China

Abstract

This paper focuses on the correction of radial distortion in the laser spot vision inspection system, which is the main cause for the inaccuracy of measurement results. An efficient circuit architecture using a low cost FPGA (field programmable gate array) and a hardware look-up table for distortion correction is presented. The polynomial fitting formula between the pixels in the distorted image and those in the corrected one will be calculated under software circumstance, then converted into the addresses of FLASH memory as a look-up table. By access to FLASH memory instead of complex arithmetic, FPGA can obtain the spatial correction data, according to which the gray scale can be gained and corrected with a nearest-neighbor principle. Experiment results illuminate the relative distortion declines from 23.88% to approximately 1%, and the average error of the spot center is within 1mm. The reduction of distortion error facilitates the application of the short-focus and wide-angle lenses, and therefore promotes the development of portable and miniaturized instruments.

Citation Download Citation

Zhaoxia Zhang, Yang Han, Xiaodong Chen, and Daoyin Yu "FPGA-based distortion correction for laser spot inspection system", Proc. SPIE 7133, Fifth International Symposium on Instrumentation Science and Technology, 71330R (12 January 2009); https://doi.org/10.1117/12.810437

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