Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
Abstract
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.
How to cite this article:
A. Moussaoui , K. Benmahammed , N. Ferahta and V. Chen . A New Fuzzy Clustering Based Mean-Shift Procedure "Applied to brain image segmentation".
DOI: https://doi.org/10.36478/ajit.2005.590.595
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2005.590.595