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...

 Télécharger l'article : A Hybrid Method for Image Segmentation Based on Modified Bat Algorithm and Fuzzy C-Means