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Segmentation of brain MR images based on an effective fuzzy clustering algorithm

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1 Author(s)
Yong Yang ; School of Information Technology, Jiangxi University of Finance and Economics, Nanchang 330013, China

In this paper, based on the analysis of the characteristics of magnetic resonance imaging (MRI), a novel fuzzy clustering algorithm for segmentation of brain MR images is presented. This new algorithm is developed by extending the conventional fuzzy clustering algorithm, which can compensate for not only the noise effects but also the intensity inhomogeneities of the MR images. The proposed technique has been compared and analyzed with the classic fuzzy clustering method and an existing adaptive fuzzy clustering method. Experimental results on segmentation of brain MR images can demonstrate that the proposed method is effective.

Published in:

Intelligent Control and Automation (WCICA), 2010 8th World Congress on

Date of Conference:

7-9 July 2010