Research on auto-focusing of high signal to noise ratio image with weak light

Hao-yu Yuan; Wen-feng Wang; Jun Tang; Feng-dong Chen; Fu-peng Wei; Guo-dong Liu; Zhi-tao Peng

doi:10.1117/12.2065090

3 February 2015 Research on auto-focusing of high signal to noise ratio image with weak light

Hao-yu Yuan, Wen-feng Wang, Jun Tang, Feng-dong Chen, Fu-peng Wei, Guo-dong Liu, Zhi-tao Peng

Proceedings Volume 9255, XX International Symposium on High-Power Laser Systems and Applications 2014; 92554C (2015) https://doi.org/10.1117/12.2065090
Event: XX International Symposium on High Power Laser Systems and Applications, 2014, Chengdu, China

Abstract

For souped-up of Optical Damage Online Inspection system and obtain damage information of the optic exactly, this paper describes an auto focusing method for weak spot which on high signal to noise ratio image in darkroom. We used different calculation strategy to target pixel and adjoining pixel, compute the gray different that on x and y, compared the result of two focusing evaluation function which the gray difference absolute sum function and the gray difference quadratic sum function, select the best calculation strategy and focusing evaluation function. Test results indicate that, the gray difference quadratic sum function can be more exactly in darkroom and under weak light

Citation Download Citation

Hao-yu Yuan, Wen-feng Wang, Jun Tang, Feng-dong Chen, Fu-peng Wei, Guo-dong Liu, and Zhi-tao Peng "Research on auto-focusing of high signal to noise ratio image with weak light", Proc. SPIE 9255, XX International Symposium on High-Power Laser Systems and Applications 2014, 92554C (3 February 2015); https://doi.org/10.1117/12.2065090

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