文献类型：会议论文

英文题名：Extracting Regions of Interest in Biomedical Images

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, 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, 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：International Seminar on Future BioMedical Information Engineering

会议日期：DEC 18, 2008

会议地点：Wuhan, PEOPLES R CHINA

语种：英文

外文关键词：biomedical image processing; regions of interest; salient region; saliency map; visual attention

摘要：Regions of interest (ROI) usually means the meaningful and important regions in the images. The use of ROI can avoid the processing of irrevelent image points and accelerate the processing. Extraction of regions of interest from images is an important and unsolved topic in the image processing area, especially in biomedical image processing area. In this paper, a feasible and fast constrast-based method is proposed to extract regions of interest in biomedical images. Motivated biologically, this approach simulates the bottom-up human visual selective attention mechanism, computes the global contrast of each pixel and constructs the saliency map. Then by segmentating the saliency map using a dynamic threshold, the regions of interest can be extracted. This approach has been tested on many medical images. Computer experimental results show that the proposed method can extract regions of interste in biomedical images rapidly and precisely, and indicate that the proposed approach is effective and practicable.