Switching-based clustering algorithms for segmentation of low-level salt-and-pepper noise–corrupted images

This paper presents new clustering-based segmentation algorithms. The proposed switching-based clustering algorithms can minimize salt-and-pepper noise during segmentation without degrading the images’ fine details. The proposed algorithms incorporate the salt-and-pepper noise detection stage into t...

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Veröffentlicht in:	Signal, image and video processing Jg. 9; H. 2; S. 387 - 398
Hauptverfasser:	Sulaiman, Siti Noraini, Mat Isa, Nor Ashidi, Yusoff, Intan Aidha, Ahmad, Fadzil
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.02.2015
Schlagworte:	Computer Imaging Computer Science Image Processing and Computer Vision Multimedia Information Systems Original Paper Pattern Recognition and Graphics Signal,Image and Speech Processing Vision Image segmentation Salt-and-pepper noise Image processing Clustering
ISSN:	1863-1703, 1863-1711
Online-Zugang:	Volltext
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