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

被引：3
|
作者：
Abderrezak, Mohamed Zaki [1 ]
Chibane, Mouatez Billah [1 ]
Mansour, Karim [1 ]
机构：
[1] Freres Mentouri Univ, Dept Elect Engn, Lab Study Elect Mat Med Applicat, Constantine, Algeria
来源：
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES | 2017年 / 25卷 / 04期
关键词：
Segmentation; magnetic resonance imaging; fuzzy c-means algorithm; BRAIN; INFORMATION; MODELS; FCM;
D O I：
10.3906/elk-1510-37
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：3215 / 3226
页数：12
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