| 医学图像处理中有关图像分割的新技术 |
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| 引用本文： | 王瓛,郭秀花.医学图像处理中有关图像分割的新技术[J].北京生物医学工程,2008,27(4):440-443. |
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| 作者姓名： | 王瓛 郭秀花 |
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| 作者单位： | 首都医科大学公共卫生与家庭医学学院,北京,100069;首都医科大学公共卫生与家庭医学学院,北京,100069 |
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| 基金项目： | 北京市教委科技发展计划面上课题，首都医科大学校科研和教改项目 |
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| 摘 要： | 图像分割是图像处理中最基本和最主要的技术.本文简要介绍了医学图像分割的常用分割方法,主要包括阈值分割、神经网络分割、模糊分割、遗传算法、统计方法和基于特定模型等方法的图像分割.并对其近年来的进展和应用进行了综述.
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| 关 键 词： | 图像处理 图像分割 医学图像 |
The progression of image segmentation-the chief element of image processing |
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| WANG Huan,GUO Xiuhua.The progression of image segmentation-the chief element of image processing[J].Beijing Biomedical Engineering,2008,27(4):440-443. |
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| Authors: | WANG Huan GUO Xiuhua |
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| Institution: | WANG Huan,GUO Xiuhua School of Public Health , Family Medicine,Capital Medical University,Beijing 100069 |
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| Abstract: | Image segmentation is the most elementary and important technique in image processing.In this paper,the general methods of medical image segmentation,mainly including threshold segmentation,neural net work,fuzzy segmentation,genetic algorithm,statistic method,and special model are sketched,and a review of the progression and application of medical image segmentation techniques is given. |
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| Keywords: | image processing image segmentation medical image |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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