| 用于医学图像分割的区域生长方法 |
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| 引用本文： | 孙日明. 用于医学图像分割的区域生长方法[J]. 大连铁道学院学报, 2010, 0(2): 91-94 |
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| 作者姓名： | 孙日明 |
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| 作者单位： | 大连交通大学理学院;大连理工大学数学学院; |
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| 摘 要： | 通过分析鼻腔解剖图的气腔区域可以确定患者打鼾原因,并对其后期手术治疗有着重要意义.从鼻腔解剖图分割出气腔区域是整个计算机辅助手段的前提.根据鼻腔解剖图的特征,提出了一种改进的区域生长方法,采用两次不同的迭代规则进行区域生长,不仅能够准确地分割气腔区域,而且克服了区域生长对生长参数敏感的缺点.同时对其他医学图像进行了实验,得出了令人满意的分割结果.
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| 关 键 词： | 图像分割 鼻腔解剖图 置信度分割 |
A New Region Growth Method for Medical Image Segment |
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| SUN Ri-ming. A New Region Growth Method for Medical Image Segment[J]. Journal of Dalian Railway Institute, 2010, 0(2): 91-94 |
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| Authors: | SUN Ri-ming |
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| Affiliation: | SUN Ri-ming1,2(1.School of Mathematics , Physis,Dalian Jiaotong University,Dalian 116028,China,2.Department of Applied Mathematics,Dalian University of Technology,Dalian 116024,China) |
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| Abstract: | By studing air cavity of nasal anatomic graph to determine the cause of snoring,an improved region growth method is proposed from the application needs.The new method adopting two-time iterations can accurately segment air cavity and overcome the high sensitivity of growing coefficient.The experiment on other medical image using the method achieves satisfied results. |
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| Keywords: | image segment nasal anatomic graph confidence connected segment |
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