A new segmentation method of cerebral MRI images based on the fuzzy c-means algorithm

Authors

MOHAMED ZAKI ABDERREZAK
MOUATEZ BILLAH CHIBANE
KARIM MANSOUR

DOI

10.3906/elk-1510-37

Abstract

The aim of this work is to present a new method for cerebral MRI image segmentation based on modification of the fuzzy c-means (FCM) algorithm. We used local and nonlocal information distance in the initial function of the robust FCM model. The obtained results of the classification of MRI images showed the effectiveness of the suggested model. Calculation of the similarity index confirms that our method is well adapted to MRI images even in the presence of noise.

Keywords

Segmentation, magnetic resonance imaging, fuzzy c-means algorithm

First Page

3215

Last Page

3226

Recommended Citation

ABDERREZAK, MOHAMED ZAKI; CHIBANE, MOUATEZ BILLAH; and MANSOUR, KARIM (2017) "A new segmentation method of cerebral MRI images based on the fuzzy c-means algorithm," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 25: No. 4, Article 54. https://doi.org/10.3906/elk-1510-37
Available at: https://journals.tubitak.gov.tr/elektrik/vol25/iss4/54