Multi-component image segmentation using a hybrid dynamic genetic algorithm and fuzzy C-means

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Vydané v:	IET image processing Ročník 3; číslo 2; s. 52 - 62
Hlavní autori:	Awad, M., Chehdi, K., Nasri, A.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Stevenage Institution of Engineering and Technology 09.04.2009
Predmet:	Applied sciences Detection, estimation, filtering, equalization, prediction Exact sciences and technology Image processing Information, signal and communications theory Signal and communications theory Signal processing Signal representation. Spectral analysis Signal, noise Telecommunications and information theory Image quality Image segmentation Image analysis Self-organising feature maps Image resolution Image processing Genetic algorithm A priori estimation Homogeneity Unsupervised classification Signal classification Multiple image
ISSN:	1751-9659, 1751-9667
On-line prístup:	Získať plný text
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