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

Author:

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.

Funder

Instituto Politécnico Nacional de México (IPN)

Consejo Nacional de Ciencia y Tecnología (Conacyt)

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference47 articles.

1. Multi-objective semi-supervised clustering for automatic pixel classification from remote sensing imagery;Alok;Soft Comput.,2015

2. Angulo, J., Sierra, J., 2003. Color Segmentation by ordered mergins. In: IEEE International Conference on Image Processing.

3. Arora, S.M., Rajpal, N., 2014. Survey of fast block motion estimation algorithms. In: IEEE Int. Conf. Advances in Computing, Communications and Informatics, ICACCI 2014, pp. 2022–2026.

4. Pattern Recognition with Fuzzy Objective Function Algorithms;Bezdek,1981

5. Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation;Cai;Pattern Recognit.,2007

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