文献类型：期刊文献

英文题名：Moving visual focus in salient object segmentation

作者：Chen, Zhi-Hua[1];Liu, Yi[1];Xiao, Xiao-Long[1];Ying, Fang-Li[1];Zhang, Jing[1,2];Yuan, Yu-Bo[1]

机构：[1]E China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China;[2]Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210008, Jiangsu, Peoples R China

年份：2015

卷号：9

期号：9

起止页码：758

外文期刊名：IET IMAGE PROCESSING

收录：;EI(收录号：20153501225610);WOS:【SCI-EXPANDED(收录号:WOS:000360470600005)】；

基金：This research has been supported by the National Nature Science Foundation of China (grants 61370174 and 61402174).

语种：英文

外文关键词：Iterative methods - Object detection

摘要：Saliency detection plays an important role in image segmentation, object detection and retrieval, which attracts more attention in the field of computer vision recently. Most existing saliency detection algorithms have not considered the influence of visual focus (VF) shifting yet. In this study, a novel algorithm named moving region contrast (MRC) is proposed to analyse image saliency. The algorithm MRC is built on a novel concept of moving VF. The initial VF is defined as the geometric centre of the image. Then the VF is calculated iteratively by focus-moving technique where a saliency gravitation model is employed to determine the moving direction. The salient region is obtained according to the final VF. The experiments are conducted on the dataset with 1000 images released by Achanta. Experimental results show that the proposed algorithm achieves marked improvements in performance and outperforms other 11 popular algorithms.