An effective color image segmentation approach using neutrosophic adaptive mean shift clustering

Color image segmentation can be defined as dividing a color image into several disjoint, homogeneous, and meaningful regions based on the color information. This paper proposes an efficient segmentation algorithm for color images based on neutrosophic adaptive mean shift (NAMS) clustering. Firstly,...

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Veröffentlicht in:	Measurement : journal of the International Measurement Confederation Jg. 119; S. 28 - 40
Hauptverfasser:	Guo, Yanhui, Şengür, Abdulkadir, Akbulut, Yaman, Shipley, Abriel
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Elsevier Ltd 01.04.2018 Elsevier Science Ltd
Schlagworte:	Algorithms Clustering Color Color image segmentation Color imagery Image contrast Image processing systems Image segmentation Indeterminate filter Mean shift clustering Neutrosophic set Mean shift clustering Neutrosophic set Color image segmentation Indeterminate filter
ISSN:	0263-2241, 1873-412X
Online-Zugang:	Volltext
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