文献类型：会议论文

英文题名：Salient Region Detection Based on Automatic Feature Selection

作者：Zheng, Yafeng[1];Zhang, Qiaorong[1];Xiao, Huimin[2]

第一作者：Zheng, Yafeng

通讯作者：Zheng, YF[1]

机构：[1]Henan Univ Finance & Econ, Coll Comp & Informat Engn, Zhengzhou, Peoples R China;[2]Henan Univ Finance & Econ, Dept Math & Informat Sci, Zhengzhou, Peoples R China

第一机构：河南财经政法大学计算机与信息工程学院

通讯机构：[1]corresponding author), Henan Univ Finance & Econ, Coll Comp & Informat Engn, Zhengzhou, Peoples R China.|[1048412]河南财经政法大学计算机与信息工程学院;[10484]河南财经政法大学;

会议论文集：3rd International Symposium on Intelligent Information Technology Application

会议日期：NOV 21-22, 2009

会议地点：Nanchang, PEOPLES R CHINA

语种：英文

外文关键词：salient region; feature selection; saliency map; visual attention; image processing

摘要：Salient regions detection in the image is very useful for image processing. It can reduce the computational complexity of the process and save computation resource. Most of the methods compute the saliency based on feature integration theory. But different features have different contribution to the saliency in different images. A new feature integration method is proposed in this paper. This method can select features and compute the weights of the features dynamically by analyzing the effect of different features on the saliency. Some experiment results and qualitative and quantitative analysis are presented in this paper. The experiment results show that the proposed feature integration strategy can select and weight the appropriate features correctly and the detection results are consistent with human visual system.