An improved intuitionistic fuzzy c-means clustering algorithm incorporating local information for brain image segmentation

Original and segmented simulated brain image by different algorithms: (a) axial view of original simulated T1-weighted brain image with INU=0 and 1% noise, (b) skull stripping simulated brain image, (c) manual segmented CSF, GM and WM images, (d) IIFCM algorithm, (e) IFCM algorithm, (f) FLICM algori...

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Vydané v:	Applied soft computing Ročník 46; s. 543 - 557
Hlavní autori:	Verma, Hanuman, Agrawal, R.K., Sharan, Aditi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.09.2016
Predmet:	Fuzzy c-means Image segmentation Intuitionistic fuzzy c-means Intuitionistic fuzzy sets Magnetic resonance imaging Intuitionistic fuzzy sets Image segmentation Magnetic resonance imaging Intuitionistic fuzzy c-means Fuzzy c-means
ISSN:	1568-4946, 1872-9681
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