文献类型：会议论文

英文题名：Extracting Regions of Interest Based on Phase Spectrum and Morphological Approach

作者：Zhang, Bin[1];Zheng, Yafeng[1];Zhang, Qiaorong[1]

通讯作者：Zhang, B[1]

机构：[1]Henan Univ Finance & Econ, Coll Informat, 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 Informat, 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：2nd ISECS International Colloquium on Computing, Communication, Control and Management (CCCM 2009)

会议日期：AUG 08-09, 2009

会议地点：Sanya, PEOPLES R CHINA

语种：英文

外文关键词：region of interest; saliency map; phase spectrum; morphological approach

摘要：Regions of interest extraction in an image is a useful and challenging problem in image processing and analysis. A new method to extract regions of interest based on phase spectrum and morphological approach is proposed in this paper. Different color feature maps (hue, saturation and intensity) in different scales are selected to analyze the saliency based in feature selection. The phase spectrum of the selected feature map is analyzed and the corresponding saliency map is generated. By segmenting the saliency map using a threshold, a segmented binary image can be got. Then morphological operations are done to improve the binary image. According to the improved binary image, the salient regions can be detected in the input image. The method is shown to be effective and efficient through experiments on many natural images. The experiment results and analysis have been presented in this paper.