Novel auto-focusing method

Yan Huang; Dong Ye; Rensheng Che

doi:10.1117/12.866611

11 October 2010 Novel auto-focusing method

Yan Huang, Dong Ye, Rensheng Che

Proceedings Volume 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 765674 (2010) https://doi.org/10.1117/12.866611
Event: 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies, 2010, Dalian, China

Abstract

In this paper, an advanced auto-focusing method is proposed to improve the efficiency of the traditional auto-focusing method based on criterion function with the same accuracy. Firstly, a depth from defocus auto-focusing method based on autocorrelation of differential image is used to give a rough estimate of the right focus position with only two or three defocused images. Then traditional method based on criterion function is used to find accurate focus position in this rough field with fixed step-length mountain climbing servo (MCS). The experimental results demonstrate that this novel method not only maintains the accuracy, but also has some advantages of rapid reaction and good performance for any objects.

Citation Download Citation

Yan Huang, Dong Ye, and Rensheng Che "Novel auto-focusing method", Proc. SPIE 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 765674 (11 October 2010); https://doi.org/10.1117/12.866611

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