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Automatic segmentation of brain tissue based on improvedfuzzy c means clustering algorithm
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Journal of Biomedical Science and Engineering·Volume 04 (2011)·Pages 100–104·Published 24 February 2011·DOI10.4236/jbise.2011.42014
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Abstract
In medical images, exist often a lot of noise, the noise will seriously affect the accuracy of the segmentation results. The traditional standard fuzzy c-means(FCM) algorithm in image segmentation do not taken into account the relationship the adjacent pixels, which leads to the standard fuzzy c-means(FCM) algorithm is very sensitive to noise in the image. Proposed improvedfuzzy c-means(FCM) algorithm, taking both the local and non-local information into the standard fuzzy c-means(FCM) clustering algorithm. The ex-periment results can show that the improved algorithm can achieve better effect than other methods of brain tissue segmentation.
KeywordsLocal InformationNon-local MeanBrain Tissue Segmentation
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