TY  - JOUR
T1  - A New Fuzzy Clustering Based Mean-Shift Procedure "Applied to brain image segmentation"
AU - , A. Moussaoui AU - , K. Benmahammed AU - , N. Ferahta AU - , V. Chen 
JO  - Asian Journal of Information Technology
VL  - 4
IS  - 6
SP  - 590
EP  - 595
PY  - 2005
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2005.590.595
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2005.590.595
KW  - Clustering
KW  -image segmentation
KW  -automatic classification
KW  -FCM
KW  -Mean-shift
KW  -RMN images
AB  - The objective of this study is to propose a blind segmentation method able to localize all relevant objects in medical images by using a fuzzy classification based mean shift algorithm. To achieve this, we have to build cartography of attributes consequent upon images characterization. The objects localization is realized by searching modes from a point sample distribution through mean shift procedure. In order to obtain an image automatic segmentation, the approach is joined at a fuzzy classification based Fuzzy C-Means (FCM) approach. The fuzzy insertion here allows to take into account imprecision related to information extraction which is necessary to region classification. Actually, the obtained results by our approach are very encouraging and show an accurate segmentation compared others supervised techniques.
ER  -