TITLE

A Novel Image Segmentation Algorithm Based on Visual Saliency

AUTHOR(S)
Yuantao Chen; Weihong Xu; Yongsheng Xiang; Fangjun Kuang
PUB. DATE
March 2012
SOURCE
International Journal of Digital Content Technology & its Applic;Mar2012, Vol. 6 Issue 4, p133
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
An approach for image segmentation based on visual saliency is proposed in this paper. First low-level visual features of the image are extracted. Local saliency, global saliency and rarity saliency are computed for each feature figure to get the feature conspicuity figures. Then these conspicuity figures are integrated to generate the saliency figure. The saliency figure is segmented using a threshold and a binary mask figure is obtained. Finally the foreground and background of the original image are separated by adding the binary figure to the original image. The proposed model has been tested on many natural images. Experimental results show that the proposed approach is valid and the segmentation results are consistent with human visual system.
ACCESSION #
76361757

 

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