Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering

As fuzzy c-means clustering (FCM) algorithm is sensitive to noise, local spatial information is often introduced to an objective function to improve the robustness of the FCM algorithm for image segmentation. However, the introduction of local spatial information often leads to a high computational...

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Vydané v:	IEEE transactions on fuzzy systems Ročník 26; číslo 5; s. 3027 - 3041
Hlavní autori:	Lei, Tao, Jia, Xiaohong, Zhang, Yanning, He, Lifeng, Meng, Hongying, Nandi, Asoke K.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.10.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Clustering Clustering algorithms Computational complexity Electronic mail Filtration Fuzzy c-means clustering (FCM) Image filters Image reconstruction Image segmentation Immunity Iterative methods Linear programming local spatial information Matrix partitioning morphological reconstruction (MR) Morphology Noise sensitivity Partitioning algorithms Pixels Robustness Spatial data State of the art
ISSN:	1063-6706, 1941-0034
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