Infrared image segmentation based on gray-scale adaptive fuzzy clustering algorithm

Since the infrared detector itself is subject to various external disturbances when collecting information, infrared images are characterized by of low SNR, low contrast and blur edge, which greatly increases the difficulty of detection and recognition. Contraposing the problems that a fuzzy cluster...

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Veröffentlicht in:	Multimedia tools and applications Jg. 76; H. 8; S. 11111 - 11125
Hauptverfasser:	Liu, Jin, Liu, Yanli, Ge, Qianqian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.04.2017 Springer Nature B.V
Schlagworte:	Adaptive algorithms Algorithms Clustering Computer Communication Networks Computer Science Data Structures and Information Theory Decision support systems Image contrast Image segmentation Infrared detectors Infrared imagery Multimedia Information Systems Special Purpose and Application-Based Systems Adaptive fuzzy clustering Infrared image segmentation Multi-threshold segmentation Gray level histogram Pseudo-peak removal
ISSN:	1380-7501, 1573-7721
Online-Zugang:	Volltext
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