基于MR-MS的snake模型及其应用

广东工业大学学报 ›› 2005, Vol. 22 ›› Issue (1): 37-41.

基于MR-MS的snake模型及其应用

广东工业大学机电工程学院；广东工业大学机电工程学院广东广州510090；广东广州510090；广东广州510090；

出版日期:2005-03-02 发布日期:2005-03-02
基金资助:
国家自然科学基金(50105013)

Snake Model Based on MR-MS and Its Application

(Faculty of Electromechanical Engineering,Guangdong University of Technology,Guangzhou 510090,China)

Online:2005-03-02 Published:2005-03-02

摘要/Abstract

摘要： 由Kass等人1987年提出的snake模型在计算机视觉领域引起了研究人员的广泛关注,并且被越来越多的应用于计算机视觉的许多实际问题本文针对其缺陷提出了基于多分辨率和多尺度(简称MR MS)的snake型,并将其应用于医学的图像处理,实验结果证明了新模型的有效性

关键词: snake模型；多分辨率；多尺度；

Abstract: The snake model,which was developed by Kass et a1.in 1987,has absorbed a lot of gttention of researchers in the fleld of computer vision,and is applied to many cases of computer virsion.To solve its limitation,a new shake model bascd on MR-MS (muti-resolution and multi-scale) is presented and used for meadical image segmentation.The result of experiments shows that this new model is feasible.

Key words: snake model； multi-resolution； multi-scale；

丁炜；成思源；张湘伟； . 基于MR-MS的snake模型及其应用[J]. 广东工业大学学报, 2005, 22(1): 37-41.

DING Wei,CHENG Si-yuan,ZHANG Xiang-wei . Snake Model Based on MR-MS and Its Application[J]. Journal of Guangdong University of Technology, 2005, 22(1): 37-41.

参考文献

[1] 李培华,张田文. 主动轮廓线模型(蛇模型)综述[J]. 软件学报. 2000(06)

[2] 杨杨,张田文. 基于多分辨率方法的主动轮廓线跟踪算法[J]. 计算机学报. 1998(03)

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[2] WangM,EvansJ,HassebrookL,eta1.Amultistage,optimalactivecontourmodel. IEEETransactionsonImageProcessing . 1996

[3] Storvik G.A Bayesian approach to dynamic contours through stochastic sampling and simulated Annealing. IEEE Transactions on Pattern Analysis and Machine Intelligence . 1994

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