Brain MRI thresholding using incomparability and overlap functions

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 fo...

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Bibliographische Detailangaben

Hauptverfasser:	Paternain, D., Pagola, M., Fernandez, J., Mesiar, R., Beliakov, G., Bustince, H.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Brain Brain MRI thresholding Classification algorithms Educational institutions Fuzzy sets Image segmentation In-comparability Intelligent systems Magnetic resonance imaging Overlap functions
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