Active Contour with Adaptive External Force and Confidential Prior

摘要：

Large intra-class deformation, clutter and initialization sensitivity are typical obstacles in image segmentation. To solve these problems, we propose an active contour model with adaptive external force and confidential shape prior. Adaptive external force pushes the evolving curve toward object boundaries independent to initial condition. Confidential shape prior guides the curve by nonuniform strength proportional to the extent of mismatching between prior shape and boundaries. This enables the model to deal with large deformations and clutter. Experiments and comparison with other deformable models show advantages of our model.

关键词： active contour model shape prior image segmentation

作者: Qi Zou Yan Li Siwei Luo Yaping Huang

作者单位: School of Computer and Information Technology, Beijing Jiaotong University, Beijing

会议类型: 国际会议

会议名称: 2010 Cross-Strait Conference on Information Science and Technology(2010 海峡两岸信息科学与技术学术交流会)

会议地点: 秦皇岛

会议语种:英文

页码: 306-310

在线出版日期: 2010-07-09（万方平台首次上网日期，不代表论文的发表时间）