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Fast texture segmentation based on semi-local region descriptor and active contour driven by the Bhattacharyya distance

  • Shanqing Zhang*
  • , Weibin Xin
  • , Guixu Zhang
  • *此作品的通讯作者
  • Hangzhou Dianzi University

科研成果: 书/报告/会议事项章节会议稿件同行评审

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.

源语言英语
主期刊名Proceedings - 2010 2nd International Conference on Multimedia Information Networking and Security, MINES 2010
35-38
页数4
DOI
出版状态已出版 - 2010
活动2010 2nd International Conference on Multimedia Information Networking and Security, MINES 2010 - Nanjing, Jiangsu, 中国
期限: 4 11月 20106 11月 2010

出版系列

姓名Proceedings - 2010 2nd International Conference on Multimedia Information Networking and Security, MINES 2010

会议

会议2010 2nd International Conference on Multimedia Information Networking and Security, MINES 2010
国家/地区中国
Nanjing, Jiangsu
时期4/11/106/11/10

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