Brain MRI thresholding using incomparability and overlap functions

Author

Paternain, D. ; Pagola, M. ; Fernandez, J. ; Mesiar, R. ; Beliakov, G. ; Bustince, H.

Author_Institution

Dept. de Autom. y Comput., Univ. Publica de Navarra, Pamplona, Spain

fYear

2011

fDate

22-24 Nov. 2011

Firstpage

808

Lastpage

812

Abstract

In this work we present a new image thresholding algorithm for the segmentation of MRI brain images into two classes: gray matter and white matter. The proposed algorithm is based on the concept of incomparability proposed by Fodor and Roubens for fuzzy preference relations. We test our algorithm for local and global segmentation of brain images. We proof that global segmentation performs better results than local segmentation and improves the results obtained by other thresholding algorithm.

Keywords

biomedical MRI; brain; fuzzy set theory; image colour analysis; image segmentation; MRI brain image; brain MRI thresholding; fuzzy preference relation; global segmentation; gray matter; image segmentation; image thresholding; incomparability function; local segmentation; overlap function; thresholding algorithm; white matter; Brain; Classification algorithms; Educational institutions; Fuzzy sets; Image segmentation; Intelligent systems; Magnetic resonance imaging; Brain MRI thresholding; In-comparability; Overlap functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications (ISDA), 2011 11th International Conference on

Conference_Location

Cordoba

ISSN

2164-7143

Print_ISBN

978-1-4577-1676-8

Type

conf

DOI

10.1109/ISDA.2011.6121756

Filename

6121756