TY - JOUR
T1 - Automatic Segmentation Approach Based Data Aggregation for the Classification of Brain Tissues
AU - Lamiche Chaabane and Moussaoui Abdelouahab
JO - Journal of Information and Computing Science
VL - 3
SP - 209
EP - 216
PY - 2024
DA - 2024/01
SN - 8
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22612.html
KW - aggregation, possibility theory, segmentation, MPFCM, MR images. 

AB -  The  paper presents  a  study  and  an  evaluation  of  a  novel unsupervised  segmentation  technique 
based  aggregation  approach  and  some  of  possibility  theory  concepts.  Firstly,  the  MPFCM  (Modified 
Possibilistic Fuzzy C-Means) algorithm is used to extract information from each of MR images modalities. In 
second  step,  an  obtained  data  are  combined  with  an  operator  in  order  to  exploiting  the  uncertainty  and 
ambiguity in the images. Finally, the segmented image is constructed using a decision rule. The efficiency of 
the  proposed  method  is  demonstrated  by  segmentation  experiments  using  simulated  MR  images  with 
different noise levels.