Robust kernelized local information fuzzy C-means clustering for brain magnetic resonance image segmentation
文献类型:期刊论文
| 作者 | Elazab, Ahmed; AbdulAzeem, Yousry M.; Wu, Shiqian; Hu, Qingmao |
| 刊名 | JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY
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| 出版日期 | 2016 |
| 英文摘要 | Brain tissue segmentation from magnetic resonance (MR) images is an importance task for clinical use. The segmentation process becomes more challenging in the presence of noise, grayscale inhomogeneity, and other image artifacts. In this paper, we propose a robust kernelized local information fuzzy C-means clustering algorithm (RKLIFCM). It incorporates local information into the segmentation process (both grayscale and spatial) for more homogeneous segmentation. In addition, the Gaussian radial basis kernel function is adopted as a distance metric to replace the standard Euclidean distance. The main advantages of the new algorithm are: efficient utilization of local grayscale and spatial information, robustness to noise, ability to preserve image details, free from any parameter initialization, and with high speed as it runs on image histogram. We compared the proposed algorithm with 7 soft clustering algorithms that run on both image histogram and image pixels to segment brain MR images. Experimental results demonstrate that the proposed RKLIFCM algorithm is able to overcome the influence of noise and achieve higher segmentation accuracy with low computational complexity. |
| 收录类别 | SCI |
| 原文出处 | http://content.iospress.com/articles/journal-of-x-ray-science-and-technology/xst563 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10379] ![]() |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY |
| 推荐引用方式 GB/T 7714 | Elazab, Ahmed,AbdulAzeem, Yousry M.,Wu, Shiqian,et al. Robust kernelized local information fuzzy C-means clustering for brain magnetic resonance image segmentation[J]. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY,2016. |
| APA | Elazab, Ahmed,AbdulAzeem, Yousry M.,Wu, Shiqian,&Hu, Qingmao.(2016).Robust kernelized local information fuzzy C-means clustering for brain magnetic resonance image segmentation.JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY. |
| MLA | Elazab, Ahmed,et al."Robust kernelized local information fuzzy C-means clustering for brain magnetic resonance image segmentation".JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY (2016). |
入库方式: OAI收割
来源:深圳先进技术研究院
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