TY  - JOUR
T1  - New Fuzzy Clustering Algorithm Applied to Rmn Image Segmentation
AU - , Nabila Ferahta AU - , Abdelouahab Moussaoui AU - , Khier Benmahammed AU - , Victor Chen 
JO  - International Journal of Soft Computing
VL  - 1
IS  - 2
SP  - 137
EP  - 142
PY  - 2006
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2006.137.142
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2006.137.142
KW  - automatic classification
KW  -Clustering
KW  -SKIZ
KW  -markov fields
KW  -image segmentation
KW  -Maximum Posterior Marginal (MPM)
AB  - An entirely automatic procedure for the classification of cerebral tissues from Magnetic Resonance
Nuclear imaging (MRN) 3D of the head are described in this study. This procedure doesn`t make any
assumption nor on the number of classes nor on the shape of the density. Indeed, this last is estimated by a
non parametric method, it is about the method of the Parzen`s Kernel. A new objective function is proposed to
improve the FCM algorithm by the addition of one term of entropy aiming to maximize the number of good
ordering. A supplementary correction is operated by a probabilistic procedure said of fuzzy relaxation including
the probabilities of the neighboring points. The validation of the algorithm is made on simulated data and on
real cerebral imaging RMN.
ER  -