Fast Texture Segmentation based on semi-local region descriptor and Active Contour Driven by the Bhattacharyya Distance

摘要：

Based on a texture descriptor which intrinsically defines the geometry of textures using semi-local image information and tools from differential geometry, a fast active contour segmentation model for color texture image is proposed. In this model, we use the popular Bhattacharyya distance between the probability density function (pdf) to design the data fitting term which distinguishes the background and textures of interest. Then, a fast algorithm based on the Split-Bregman method is introduced to extract meaningful objects. Finally, some examples on some challenging images are illustrated to verify the possibility of the proposed model.

关键词： image segmentation active contour geometry of textures Bhattacharyya flow Split-Bregman method

作者: Shanqing Zhang Weibin Xin Guixu Zhang

作者单位: Institute of Graphics and Image Hangzhou Dianzi University Hangzhou, China Department of Computer Science and Technology East China Normal University Shanghai, China

会议类型: 国际会议

会议名称: 2010年IEEE多媒体信息网络与安全国际会议

会议地点: 南京

会议语种:英文

页码: 35-38

在线出版日期: 2010-11-01（万方平台首次上网日期，不代表论文的发表时间）