Robust color image segmentation using fuzzy c-means with weighted hue and intensity

In this paper we propose a novel method for color image segmentation. This method uses only hue and intensity components (which are chosen rationally) of image and combines those by adaptive tuned weights in a specially defined fuzzy c-means cost function. The tuned weights indicate how informative...

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Veröffentlicht in:	Digital signal processing 2016-04, Vol.51, p.170-183
Hauptverfasser:	Rajaby, E., Ahadi, S.M., Aghaeinia, H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Centroids Clusters Color Color imagery Entropy Fuzzy Fuzzy c-means Image segmentation Noise Segmentation Tables (data) Weight tuning
Online-Zugang:	Volltext
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