文献类型：期刊文献

英文题名：Image saliency detection using Gabor texture cues

作者：Chen, Zhi-hua[1];Liu, Yi[1];Sheng, Bin[2];Liang, Jian-ning[1];Zhang, Jing[1];Yuan, Yu-bo[1]

机构：[1]East China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China;[2]Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Shanghai 200240, Peoples R China

年份：2016

卷号：75

期号：24

起止页码：16943

外文期刊名：MULTIMEDIA TOOLS AND APPLICATIONS

收录：;EI(收录号：20154301425029);WOS:【SCI-EXPANDED(收录号:WOS:000389604600011)】；

基金：The authors thank Fangli Ying, Xiao-Long Xiao and Xing-jian Lu for their reading the paper carefully and the useful suggestions in the saliency detection. This work is supported by the Nature Science Foundation of China (Grant No. 61370174, Grant No. 61572316, Grant No. 61300133, and Grant No. 61202154), National High-tech R&D Program of China (863 Program) (Grant No. 2015AA011604), Shanghai Pujiang Program (No. 13PJ1404500), the Science and Technology Commission of Shanghai Municipality Program (No. 13511505000), and the Open Project Program of the State Key Lab of CAD and CG (Grant No. A1401), Zhejiang University.

语种：英文

外文关键词：Saliency detection; Texture features; Image segmentation; Superpixel

摘要：Image saliency analysis plays an important role in various applications such as object detection, image compression, and image retrieval. Traditional methods for saliency detection ignore texture cues. In this paper, we propose a novel method that combines color and texture cues to robustly detect image saliency. Superpixel segmentation and the mean-shift algorithm are adopted to segment an original image into small regions. Then, based on the responses of a Gabor filter, color and texture features are extracted to produce color and texture sub-saliency maps. Finally, the color and texture sub-saliency maps are combined in a nonlinear manner to obtain the final saliency map for detecting salient objects in the image. Experimental results show that the proposed method outperforms other state-of-the-art algorithms for images with complex textures.