Fast Texture Segmentation based on semi-local region descriptor and Active Contour Driven by the Bhattacharyya Distance
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.
image segmentation active contour geometry of textures Bhattacharyya flow Split-Bregman method
Shanqing Zhang Weibin Xin Guixu Zhang
Institute of Graphics and Image Hangzhou Dianzi University Hangzhou, China Department of Computer Science and Technology East China Normal University Shanghai, China
国际会议
南京
英文
35-38
2010-11-01(万方平台首次上网日期,不代表论文的发表时间)