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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 improved fuzzy c-means(FCM) algorithm, taking both the local and non-local information into the standard fuzzy c-means(FCM)doi:10.4236/jbise.2011.42014 fatcat:2hcfynnd6nczpezj6yhdg7v3ny