| 基于动态步长的医学图像聚类分割研究 |
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| 引用本文： | 谢从华,陆虎,薛万宇,宋余庆. 基于动态步长的医学图像聚类分割研究[J]. 微电子学与计算机, 2007, 24(4): 66-68 |
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| 作者姓名： | 谢从华 陆虎 薛万宇 宋余庆 |
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| 作者单位： | 1. 常熟理工学院,计算机科学与工程系,江苏,常熟,215500;江苏大学,计算机科学与通信工程学院,江苏,镇江,212013
2. 江苏大学,计算机科学与通信工程学院,江苏,镇江,212013 |
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| 基金项目： | 国家自然科学基金;江苏省高校自然科学基金 |
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| 摘 要： | 针对当前基于聚类技术的医学图像分割存在的问题,提出并实现了基于密度聚类的医学图像分割方法DSLDC-MIS。该方法在DENCLUE数据组织和密度函数构造的基础上,采用最优梯度技术实现动态步长的爬山算法分割医学图像组织。实验结果表明,DSLDC-MIS能很好地实现医学图像分割,比DENCLUE有更高的时间效率,更好地控制了聚类数目,更高的一致性和对比度。
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| 关 键 词： | 密度聚类 医学图像分割 最优梯度 爬山算法 |
| 文章编号： | 1000-7180（2007）04-0066-03 |
| 修稿时间： | 2006-04-06 |
Research on Medical Image Segmentation Based on Dynamic Step Length Density Clustering |
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| XIE Cong-hua,LU Hu,XUE Wan-yu,SONG Yu-qing. Research on Medical Image Segmentation Based on Dynamic Step Length Density Clustering[J]. Microelectronics & Computer, 2007, 24(4): 66-68 |
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| Authors: | XIE Cong-hua LU Hu XUE Wan-yu SONG Yu-qing |
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| Affiliation: | 1. Department of Computer Science and Engineering, Changshu Institute of Technology, Changshu 215500, China; 2. School of Computer Science and Telecommunication Engineering,Jiangsu University, Zhenjiang 212013, China |
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| Abstract: | In order to overcome the problems of medical image segmentation by current clustering technology, we offer and implement a density clustering based medical image segmentation method DSLDC-MIS. On the ground of data organization and density function construction of DENCLUE, this method makes use of optimal gradient technique to implement medical image segmentation by dynamic step length of hill climbing strategy. Experiments results show that DSLDS-MIS can segment medical image very well and has better time performance, better ability of controlling clusters number and better consistency and contrast than DENCLUE. |
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| Keywords: | density clustering medical image segmentation optimal gradient hill climbing algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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