A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is
In this paper, we propose new fuzzy c-means method for improving the magnetic resonance imaging (MRI) segmentation. The proposed method called "possiblistic fuzzy c-means (PFCM)" which hybrids the fuzzy c-means (FCM) and possiblistic c-means (PCM) functions. It is realized by modifying the objective function of the conventional PCM algorithm with Gaussian exponent weights to produce memberships and possibilities simultaneously, along with the usual point prototypes or cluster centers for eachdoi:10.4236/ojmi.2013.34020 fatcat:5lksyqx6yjeqzgckqwaavlcsne