Improved fuzzy clustering algorithm with non-local information for image segmentation

Abstract

Fuzzy C-means(FCM) has been adopted to perform image segmentation due to its simplicity and efficiency. Nevertheless it is sensitive to noise and other image artifacts because of not considering spatial information. Up to now, a series of improved FCM algorithms have been proposed, including fuzzy local information C-means clustering algorithm(FLICM). In… (More)
DOI: 10.1007/s11042-016-3399-x

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Cite this paper

@article{Zhang2016ImprovedFC, title={Improved fuzzy clustering algorithm with non-local information for image segmentation}, author={Xiaofeng Zhang and Yujuan Sun and Gang Wang and Qiang Guo and Caiming Zhang and Beijing Chen}, journal={Multimedia Tools and Applications}, year={2016}, volume={76}, pages={7869-7895} }