Image segmentation on adaptive sub-region smoothing

Junruo Gao; Xin Liu; Kun He

doi:10.1117/12.2265216

23 January 2017 Image segmentation on adaptive sub-region smoothing

Junruo Gao, Xin Liu, Kun He

Proceedings Volume 10322, Seventh International Conference on Electronics and Information Engineering; 1032212 (2017) https://doi.org/10.1117/12.2265216
Event: Seventh International Conference on Electronics and Information Engineering, 2016, Nanjing, China

Abstract

To improve the performance of the active contour segmentation on real images, a new segmentation method is proposed. In this model, we construct a function about Gaussian variance according to sub-regions intensity. Further, to avoid the curve vanishing, we design the convergence condition based on the confidence level of segmentation sub-regions. Experimental results show that the proposed method is less sensitive to noise and can suppress inhomogeneous intensity regions efficiently.

Citation Download Citation

Junruo Gao, Xin Liu, and Kun He "Image segmentation on adaptive sub-region smoothing", Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 1032212 (23 January 2017); https://doi.org/10.1117/12.2265216

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