Method of edge detection on bi-stable system

Yibo Zheng; Lei Zhang; Xu Liu

doi:10.1117/12.791411

5 March 2008 Method of edge detection on bi-stable system

Yibo Zheng, Lei Zhang, Xu Liu

Proceedings Volume 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing; 66230N (2008) https://doi.org/10.1117/12.791411
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

Abstract

In this paper, a new algorithm is proposed for edge detection. A nonliear reaction diffusion equation is employed to extract the image edges. The mechanism of the new algorithm is based on the local dynamics of the reaction diffusion system. Three characteristics of dynamics including excitable, Turing/Hopf instability, and bistable dyanmics can be obtained depending on the control parameters. In the bistable region the system has the ability to detect the edges of images exactlly. Some of the best results are attained from a number of standard test problems. Compared with the conventional methods, the new algorithm indicates a higher accuracy and continuity for the image. Moreover, the edge detection process is not sensitive to the noise.

Citation Download Citation

Yibo Zheng, Lei Zhang, and Xu Liu "Method of edge detection on bi-stable system", Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 66230N (5 March 2008); https://doi.org/10.1117/12.791411

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