| 基于FCM聚类算法的颅内出血CT图像分割 |
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| 引用本文： | 王海波,李雪耀.基于FCM聚类算法的颅内出血CT图像分割[J].CT理论与应用研究,2009,18(2):99-105. |
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| 作者姓名： | 王海波 李雪耀 |
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| 作者单位： | 1. 牡丹江医学院,教育技术与信息中心,黑龙江,牡丹江,157011
2. 哈尔滨工程大学,计算机科学与技术学院,哈尔滨,150001 |
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| 摘 要： | 为了提高计算机辅助诊断系统的颅内出血病灶分割准确率，提出一种新的颅脑CT图像分割方法，被怀疑为出血的区域可快速而有效地分割出来。首先利用颅内结构提取算法提取颅内区域；然后利用两次模糊c均值聚类算法完成出血区域分割。第一次模糊c均值聚类确定疑似颅内出血的区域，根据脑出血CT图像特点，将中心点灰度值最高的类作为第二次模糊c均值聚类对象，第二次模糊c均值聚类分割出疑似出血区域，最后对颅脑CT图像进行实验，验证方法的可行性。实验结果表明该方法对颅脑出血CT图像病灶的分割是有效的。
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| 关 键 词： | 模糊c均值聚类 颅内出血 图像分割 CT |
Segmentation of Intracranial Hemorrhage CT Image Based on FCM Clustering Algorithm |
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| WANG Hai-bo,LI Xue-yao.Segmentation of Intracranial Hemorrhage CT Image Based on FCM Clustering Algorithm[J].Computerized Tomography Theory and Applications,2009,18(2):99-105. |
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| Authors: | WANG Hai-bo LI Xue-yao |
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| Institution: | WANG Hai-bo1,LI Xue-yao2 1.Center of Educational Technology , Information,Mudan-jiang Medical University,Mudanjiang 157011,China 2.College of Computer Science , Technology,Harbin Engineering University,Harbin 150001,China |
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| Abstract: | To develop a computer aided detection system that improves diagnostic accuracy of intracranial hemorrhage(IH) on brain CT.A novel method for CT image segmentation of brain is proposed, with which, several regions that are suspicious of hemorrhage can be segmented rapidly and effectively.Algorithm of extracting intracranial area was introduced firstly to extract intracranial area.Secondly, FCM was employed twice, we named it with TFCM.FCM was first employed to identify areas of intracranial hemorrhage.Finall... |
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| Keywords: | CT |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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