| 结合聚类和改进的C-V演化方程在医学图像分割中的应用 |
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| 引用本文： | 罗志宏,冯国灿,成秋生. 结合聚类和改进的C-V演化方程在医学图像分割中的应用[J]. 计算机应用, 2008, 28(9): 2288-2291 |
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| 作者姓名： | 罗志宏 冯国灿 成秋生 |
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| 作者单位： | 中山大学,计算机科学系,广州,510275;中山大学,数学与计算科学学院,广州,510275;中山大学,数学与计算科学学院,广州,510275;广州市第一人民医院,脑内科,广州,510180 |
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| 基金项目： | 国家自然科学基金，教育部科学技术研究重点项目 |
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| 摘 要： | 在传统的C-V模型的基础上提出一类改进的C-V演化方程，利用它们与聚类技术相结合对病理状态脑部CT和MR图像进行分割，能获得较理想的实验结果。特别是利用提出的演化方程对一个合成的几何图像进行分割，结果显示能比一些传统的演化方程具有更好的稳健性和准确性。
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| 关 键 词： | 活动轮廓模型 水平集 图像分割 k-means聚类 |
| 收稿时间： | 2008-04-15 |
Application of clustering and improved C-V evolution equation in medical image segmentation |
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| LUO Zhi-hong,FENG Guo-can,CHENG Qiu-sheng. Application of clustering and improved C-V evolution equation in medical image segmentation[J]. Journal of Computer Applications, 2008, 28(9): 2288-2291 |
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| Authors: | LUO Zhi-hong FENG Guo-can CHENG Qiu-sheng |
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| Affiliation: | LUO Zhi-hong1,2,FENG Guo-can2,CHENG Qiu-sheng 3(1.Department of Computer Science,Sun Yat-Sen University,Guangzhou Guangdong 510275,China,2.School of Mathematics , Computational Sciences,3.Department of Neurology,the First Municipal People's Hospital of Guangzhou City,Guangzhou Guangdong 510180,China) |
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| Abstract: | A class of improved C-V evolution equation based on classical C-V model was proposed in this paper. It integrated with k-means clustering to segment pathological tissue of Brain CT and MRI, and satisfactory results were obtained. Specially, experimental result of a synthetic image shows that the proposed method is more accurate and robust than some traditional evolution equations. |
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| Keywords: | active contour model level set image segmentation k-means clustering |
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