Souhil Larbi Boulanouar
Laboratory of Analysis of Signals and Systems (LASS)
University of Med Boudiaf
M'sila, Algeria
Abstract
Image segmentation is rapidly applied in the field of image processing. Fuzzy c-means (FCM) clustering is one of the popular clustering algorithms for medical image segmentation. However, FCM sensitive to the noise and, falling into local optimal solution easily, because of the random initialization of the cluster centers. To solve these problems, we proposed a hybrid method, named MFBAFCM...