| 基于模糊集理论的医学图像分割的应用 |
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| 引用本文： | 王艳华,;管一弘.基于模糊集理论的医学图像分割的应用[J].微机发展,2008(11):223-225. |
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| 作者姓名： | 王艳华 ;管一弘 |
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| 作者单位： | 昆明理工大学 |
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| 基金项目： | 基金项目：云南省自然科学基金（20051P1194M） |
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| 摘 要： | 图像分割是医学图像处理、分析、研究的基础。由于人的视觉特性和数字图像本身所具有的模糊性，使得图像分割问题是典型的结构不良问题。而模糊集合论具有描述不良问题的能力，模糊集理论应用于图像分割是针对图像模糊性非常有效的方法。对近年来基于模糊集理论的医学图像分割技术的应用和发展进行了综述和讨论，展望了基于模糊集理论的医学图像分割技术的前景和面临的挑战。
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| 关 键 词： | 模糊集理论 模糊聚类 图像处理 医学图像分割 |
Application of Medical Image Segmentation Technology Based on Fuzzy-Set-Theory |
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| WANG Yan-hua,GUAN Yi-hong.Application of Medical Image Segmentation Technology Based on Fuzzy-Set-Theory[J].Microcomputer Development,2008(11):223-225. |
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| Authors: | WANG Yan-hua GUAN Yi-hong |
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| Affiliation: | WANG Yan-hua,GUAN Yi-hong (Kunming University of Science and Technology, Kunming 650093, China) |
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| Abstract: | Image segmentation is the basis of medical image processing,analysis, and research.It is a difficult problem because of the inherent vagueness of human vision and digital image.Since fuzzy set theory can be used to depict the ambiguities,it is an effective method for image segmentation.In this paper,the application and development of medical image segmentation based on fuzzy set theory in recent years are introduced and explained.The prospects and challenges of medical image segmentation technology based on fuzzy set theory are also discussed. |
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| Keywords: | fuzzy set theory fuzzy clustering image processing medical image segmentation |
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