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Brain MRI thresholding using incomparability and overlap functions
conference contribution
posted on 2011-01-01, 00:00 authored by D Paternain, M Pagola, J Fernandez, R Mesiar, Gleb BeliakovGleb Beliakov, H BustinceIn 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.
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Event
Intelligent Systems Design and Applications. Conference (11th : 2011 : Cordoba, Spain)Pagination
808 - 812Publisher
IEEELocation
Cordoba, SpainPlace of publication
[Cordoba, Spain]Publisher DOI
Start date
2011-11-22End date
2011-11-24ISSN
2164-7143ISBN-13
9781457716768ISBN-10
1457716763Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2011, IEEETitle of proceedings
ISDA 2011 : Proceedings of the 11th International Conference on Intelligent Systems Design and ApplicationsUsage metrics
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