Block-Matching Fuzzy C-Means clustering algorithm for segmentation of color images degraded with Gaussian noise

In this paper, we present the Block-Matching Fuzzy C-Means (BMFCM) clustering algorithm to segment RGB color images degraded with Additive White Gaussian Noise (AWGN). The contribution of this paper is threefold, namely, noise level estimation, denoising and segmentation. First, two Additive White G...

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Vydané v:	Engineering applications of artificial intelligence Ročník 73; s. 31 - 49
Hlavní autori:	Gamino-Sánchez, Fernando, Hernández-Gutiérrez, Isabel V., Rosales-Silva, Alberto J., Gallegos-Funes, Francisco J., Mújica-Vargas, Dante, Ramos-Díaz, Eduardo, Carvajal-Gámez, Blanca E., Kinani, Jean Marie V.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.08.2018
Predmet:	Additive White Gaussian Noise Block-Matching Color images Fuzzy C-Means Segmentation Additive White Gaussian Noise Fuzzy C-Means Color images Segmentation Block-Matching
ISSN:	0952-1976, 1873-6769
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