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边界轮廓特征的多分辨率弹性配准
引用本文:荣成城,周健,曹国刚,罗立民.边界轮廓特征的多分辨率弹性配准[J].应用科学学报,2007,25(6):608-614.
作者姓名:荣成城  周健  曹国刚  罗立民
作者单位:1. 东南大学,影像科学与技术实验室,江苏,南京,210096
2. 法国国家健康研究院,信号与图像处理实验室,法国,雷恩,35000
摘    要:提出一种基于边界轮廓的多分辨率弹性配准方法.首先用C-V(Chan-Vese)模型提取人脑图像的边界轮廓.接着使用模拟退火方法结合B样条插值函数来配准边界轮廓点集,在退火过程中通过使用多分辨率策略,在获得精细边界轮廓的同时加快了配准速度.最后利用B样条插值函数完成图像配准.实验结果表明,该算法在保证与同类算法相同精度的前提下,实现了快速弹性配准.

关 键 词:C-V模型  B样条  模拟退火  多分辨率  弹性配准
文章编号:0255-8297(2007)06-0608-07
修稿时间:2007-04-03

Multi-resolution Elastic Registration Using Edge Contour Features
RONG Cheng-cheng,ZHOU Jian,CAO Guo-gang,LUO Li-min.Multi-resolution Elastic Registration Using Edge Contour Features[J].Journal of Applied Sciences,2007,25(6):608-614.
Authors:RONG Cheng-cheng  ZHOU Jian  CAO Guo-gang  LUO Li-min
Abstract:A multi-resolution elastic registration method based on edge contour is presented.The C-V(Chan-Vese) model is applied to extract source and target contours from two human brain MR images.A multi-resolution simulated annealing procedure is proposed to match the two contour point sets with low computation cost.This way,a fast elastic registration method using B-spline interpolation function is obtained.Experimental results show that the proposed method provides fast image registration without loss of precision.
Keywords:C-V model  B-spline  simulated annealing  multi-resolution  elastic registration
本文献已被 CNKI 维普 万方数据 等数据库收录!
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