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基于动态合并准则的分水岭算法在医学图像处理中的应用
引用本文:柴黎,王明泉.基于动态合并准则的分水岭算法在医学图像处理中的应用[J].计算机应用,2006,26(11):2784-2786.
作者姓名:柴黎  王明泉
作者单位:1. 中北大学,仪器科学与动态测试教育部重点实验室,山西,太原,030051
2. 清华大学,工程物理系,北京,100084
基金项目:中国博士后科学基金;山西省自然科学基金;中北大学校科研和教改项目
摘    要:针对医学图像的模糊特点和实际应用的要求,提出了一种基于动态合并准则的分水岭分割方法。阐述了在分水岭算法的基础上做的一些改进,通过动态合并准则进行边分割边合并,有效地抑制了过分割现象。结果表明,该方法能够快速、准确地得到医学图像的分割结果,并且具有较强的抗噪声能力。

关 键 词:分水岭  过分割  动态合并准则  医学图像
文章编号:1001-9081(2006)11-2784-02
收稿时间:2006-04-30
修稿时间:2006-04-302006-06-30

Application of the dynamic combination rule-based watershed algorithm in medical image processing
CHAI Li,WANG Ming-quan.Application of the dynamic combination rule-based watershed algorithm in medical image processing[J].journal of Computer Applications,2006,26(11):2784-2786.
Authors:CHAI Li  WANG Ming-quan
Affiliation:1. Ministry Education Key Laboratory for Instrumentation Science and Dynamic Test, North University of China, Taiyuan Shanxi 030051, China; 2. Departrnent ofEngineeringPhysics, Tsinghua University, Beijing 100084, China
Abstract:In view of the fuzziness of medical image and the requirement in practical application, a watershed segmentation method was proposed based on the dynamic combination rule. It restrained the over-segmentation occurrence effectively by combining while segmenting in accordance with the dynamic combination rule. Experiments show that the proposed algorithm can segment medical images quickly and accurately. Furthermore, it is robust under noisy background.
Keywords:watershed  over-segmentation  dynamic combination rule  medical image
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