An Unconstrained Hybrid Active Contour Model for Image Segmentation

摘要：

In this paper, we propose an unconstrained active contour model combining edge and region information for image segmentation. The new method achieves the segmentation by alternating the regularization term and the data-fidelity term. We use a morphological approach to the regularization term which is the most time-consuming in the energy function. The proposed method is robust to noise and avoids re-initialization. The efficiency of our method is validated by testing it on various images.

作者: Liyan Ma Jian Yu

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

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1098-1101

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）