A new method for salient regions detection and segmentation under noisy condition

Kaikai Wu; Jianwei Zhang

doi:10.1117/12.920898

13 January 2012 A new method for salient regions detection and segmentation under noisy condition

Kaikai Wu, Jianwei Zhang

Proceedings Volume 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies; 83501S (2012) https://doi.org/10.1117/12.920898
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

Abstract

Salient regions detection and segmentation of an image is very important for many applications like content-based image retrieval (CBIR), object recognition, and content delivery. But in the practical environment, there may be many or heavy level of noisy in the input image. For a better effect, a new method is proposed in this paper: denoise the input image by using a good performance algorithm, and then detect and segment the salient regions which we are concerned with. We compare our new method with the current method, the experimental results demonstrate that our method performs well and reaches a good result of image saliency regions detection and segmentation.

Citation Download Citation

Kaikai Wu and Jianwei Zhang "A new method for salient regions detection and segmentation under noisy condition", Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 83501S (13 January 2012); https://doi.org/10.1117/12.920898

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