Hausdorff distance based non-rigid image registration using feature points

被引：0
|
作者：
Peng Xiaoming [1 ]
Chen Wufan [1 ]
Ma Qian [2 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Life Sci & Technol, Chengdu 610054, Sichuan, Peoples R China
[2] Chinese Acad Sci, Inst Opt & Elect, Chengdu, Peoples R China
来源：
2006 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1-4: VOL 1: SIGNAL PROCESSING | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A non-rigid feature registration method using the Hatisdorff distance is presented in this paper. Based on B-splines, the proposed method is able to handle elastic deformations between the images to be registered. Since no correspondence needs to be established between two point sets, the method is robust to outliers. The performance of the proposed method is demonstrated and validated in two image registration experiments. While the results are somewhat preliminary, they clearly demonstrate the applicability of our method to real world tasks involving feature-based elastic registration.
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页码：442 / +
页数：2
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