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Segmentation of brain MRI images by using type-II fuzzy clustering algorithm

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İpek Toker; Berat Doğan; Sedef Kent Pınar
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Abstract:

In this study, segmentation of Multiple Sclerosis (MS) lesions from synthetic brain MRI images was aimed by using fuzzy clustering algorithms. The performances of fuzzy c...Show More

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Abstract:

In this study, segmentation of Multiple Sclerosis (MS) lesions from synthetic brain MRI images was aimed by using fuzzy clustering algorithms. The performances of fuzzy c-means algorithm and type-2 fuzzy c-means algorithm were compared. After several experiments it was shown that, the type-2 fuzzy c-means algorithm performed better than the standard fuzzy c-means algorithm.
Published in: 2015 23nd Signal Processing and Communications Applications Conference (SIU)
Date of Conference: 16-19 May 2015
Date Added to IEEE Xplore: 22 June 2015
Electronic ISBN:978-1-4673-7386-9
Print ISSN: 2165-0608
DOI: 10.1109/SIU.2015.7130233
Conference Location: Malatya, Turkey
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