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

Mohamed Zaki ABDERREZAK; Mouatez Billah CHIBANE; Karim MANSOUR

Article Details

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

Authors:

Mohamed Zaki ABDERREZAK | Mouatez Billah CHIBANE | Karim MANSOUR

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 4, pp.3215-3226

Document Type:

Article

Publication Date:

7/2017

Document Language:

Turkish

Document ID (Org No.):

2000736225

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

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.

Article Details

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

Authors: Mohamed Zaki ABDERREZAK | Mouatez Billah CHIBANE | Karim MANSOUR

Publisher: TUBITAK

Journal: Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 4, pp.3215-3226

Document Type: Article

Publication Date: 7/2017

Document Language: Turkish

Document ID (Org No.): 2000736225

Frequency: Bimonthly

eISSN: 1303-6203

pISSN: 1300-0632

Issues

Authors:

Mohamed Zaki ABDERREZAK | Mouatez Billah CHIBANE | Karim MANSOUR

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2017 Vol.25 Issue 4, pp.3215-3226

Document Type:

Article

Publication Date:

7/2017

Document Language:

Turkish

Document ID (Org No.):

2000736225

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632