文献类型：会议论文

英文题名：Biologically Motivated Salient Regions Detection Approach

作者：Zhang, Qiaorong[1];Xiao, Huimin[1]

第一作者：张巧荣

通讯作者：Zhang, QR[1]

机构：[1]Henan Univ Finance & Econ, Coll Informat, Zhengzhou 450002, Henan, 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 Informat, Zhengzhou 450002, Henan, 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：2nd International Symposium on Intelligent Information Technology Application

会议日期：DEC 21-22, 2008

会议地点：Shanghai, PEOPLES R CHINA

语种：英文

外文关键词：Frequency domain analysis

摘要：A biologically motivated salient regions detection approach is proposed to identify the salient regions within complex natural images. Multi-scale image features such as intensity, color and orientation are exit-acted to get some feature maps. The log spectra of the feature maps are analyzed in frequency spectrum domain and the spectra residual are extracted. Then the corresponding feature saliency maps are constructed in spatial domain and theses feature saliency maps are combined to an integrated saliency map. The salient regions are detected in terms of the integrated saliency map. Computer experimental results show that the proposed method successfully detects salient regions in many natural images and artificial images.