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Proceedings Paper

A new method for salient regions detection and segmentation under noisy condition
Author(s): Kaikai Wu; Jianwei Zhang
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Paper 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.

Paper Details

Date Published: 13 January 2012
PDF: 8 pages
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); doi: 10.1117/12.920898
Show Author Affiliations
Kaikai Wu, Sichuan Univ. (China)
Jianwei Zhang, Sichuan Univ. (China)


Published in SPIE Proceedings Vol. 8350:
Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies
Safaa S. Mahmoud; Zhu Zeng; Yuting Li, Editor(s)

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