文献类型：期刊文献

英文题名：An Improved Geometric Active Contour Model for Concrete CT Image Segmentation Based on Edge Flow

作者：He Ning[1];Lu Ke[2];Bao Hong[1]

第一作者：何宁

通讯作者：He, N[1]

机构：[1]Beijing Union Univ, Sch Informat, Beijing 100101, Peoples R China;[2]Chinese Acad Sci, Grad Univ, Coll Comp & Commun Engn, Beijing 100049, Peoples R China

第一机构：北京联合大学智慧城市学院

通讯机构：[1]corresponding author), Beijing Union Univ, Sch Informat, Beijing 100101, Peoples R China.|[1141734]北京联合大学智慧城市学院;[11417]北京联合大学;

年份：2010

卷号：19

期号：4

起止页码：687-690

外文期刊名：CHINESE JOURNAL OF ELECTRONICS

收录：;EI(收录号：20105013477478);Scopus(收录号：2-s2.0-78649826766);WOS:【SCI-EXPANDED(收录号:WOS:000284517800023)】；

基金：Manuscript Received Nov 2009, Accepted Jan 2010 This work is supported by the National Natural Science Foundation of China (No 60602062, No 60972145)

语种：英文

外文关键词：Image segmentation; Edge flow; Geometric active contour; Texture

摘要：To put forward an improved Geometric active contour (GAC) model based on the edge flow for segmentation of concrete Computed tomography (CT) images An edge flow vector field is constructed at each pixel location basing on the integration of image intensity, color, and texture characteristics to make the vector field point to the direction of potential boundary pixels The GAC field obtained by the diffusion of the edge flow vector is regarded as the external potential force of the GAC model Then the curve propagation is guided by the improved GAC model The experimental results obtained by applying the method to segment concrete CT images By the integration of the edge flow into the GAC model, the segmentation quality is obviously improved