A novel method for ox-eye interference image processing based on maximum fuzzy entropy

Xiuhua Zhang; Kuntao Yang; Yunlong Wang

doi:10.1117/12.676904

19 May 2006 A novel method for ox-eye interference image processing based on maximum fuzzy entropy

Xiuhua Zhang, Kuntao Yang, Yunlong Wang

Proceedings Volume 6150, 2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 61502L (2006) https://doi.org/10.1117/12.676904
Event: 2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies, 2005, Xian, China

Abstract

"Ox-eye" interference image analysis is an important means to acquire related optical information such as wavelength and the incidence angle of laser from far away. For the unavoidable noise, it is very difficult to extract object pattern from the noise background, so the contrast enhancement and thresholding is a crucial step for such image processing. In this paper, a novel method is proposed for "ox-eye" interference image processing based on maximum fuzzy entropy. In the new method, the maximum fuzzy entropy is used to conduct contrast enhancement and optimum threshold selecting. By comparing with the traditional methods, the presented method can process images more quickly and can extract the parameters more accurately.

Citation Download Citation

Xiuhua Zhang, Kuntao Yang, and Yunlong Wang "A novel method for ox-eye interference image processing based on maximum fuzzy entropy", Proc. SPIE 6150, 2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 61502L (19 May 2006); https://doi.org/10.1117/12.676904

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