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Segmentation of MR Brain Images using a Data Fusion Approach

by Lamiche Chaabane, Moussaoui Abdelouahab
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 36 - Number 12
Year of Publication: 2011
Authors: Lamiche Chaabane, Moussaoui Abdelouahab
10.5120/4553-6450

Lamiche Chaabane, Moussaoui Abdelouahab . Segmentation of MR Brain Images using a Data Fusion Approach. International Journal of Computer Applications. 36, 12 ( December 2011), 27-32. DOI=10.5120/4553-6450

@article{ 10.5120/4553-6450,
author = { Lamiche Chaabane, Moussaoui Abdelouahab },
title = { Segmentation of MR Brain Images using a Data Fusion Approach },
journal = { International Journal of Computer Applications },
issue_date = { December 2011 },
volume = { 36 },
number = { 12 },
month = { December },
year = { 2011 },
issn = { 0975-8887 },
pages = { 27-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume36/number12/4553-6450/ },
doi = { 10.5120/4553-6450 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:23:03.368157+05:30
%A Lamiche Chaabane
%A Moussaoui Abdelouahab
%T Segmentation of MR Brain Images using a Data Fusion Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 36
%N 12
%P 27-32
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The goal of this work is to evaluate the segmentation of MR images using the multispectral fusion approach in the possibility theory context. The process of fusion consists of three steps : (1) information extraction, (2) information combination, and (3) decision step. Information provided by T2-weighted and PD-weighted images is extracted and modeled separately in each one using fuzzy logic, fuzzy maps obtained are combined with an operator which can managing the uncertainty and ambiguity in the images and the final segmented image is constructed in decision step. Some results are presented and discussed.

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Index Terms

Computer Science
Information Sciences

Keywords

Fusion possibility theory segmentation MR images

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