中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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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