An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities

We present a novel algorithm for obtaining fuzzy segmentations of images that are subject to multiplicative intensity inhomogeneities, such as magnetic resonance images. The algorithm is formulated by modifying the objective function in the fuzzy C-means algorithm to include a multiplier field, whic...

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Bibliographic Details

Published in:	Pattern recognition letters Vol. 20; no. 1; pp. 57 - 68
Main Authors:	Pham, Dzung L., Prince, Jerry L.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 1999
Subjects:	Adaptive algorithms Fuzzy C-means Fuzzy sets Image segmentation Intensity inhomogeneities Iterative methods Magnetic resonance imaging Image segmentation Intensity inhomogeneities Fuzzy C-means Magnetic resonance imaging
ISSN:	0167-8655, 1872-7344
Online Access:	Get full text
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