Segmentation of extreme ultraviolet solar images via multichannel fuzzy clustering

Author:

Barra Vincent,Delouille Véronique,Hochedez Jean-François

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference45 articles.

1. Baker, J., Campbell, D., Bodnarova, A. Colour image segmentation using optimal fuzzy clustering, in: Proceedings of ASC’2003 – Artificial Intelligence and Soft Computing, pp. 385–389, 2003.

2. Barra, V., Delouille, V., Kretzschmar, M., et al. Analysis of fuzzy EIT Image segmentation, in press.

3. Benkhalil, A., Zharkova, V., Zharkov, S., Ipson, S. Automatic identification of active regions (plages) in the full-disk solar images using local thresholding and region growing techniques, in: Proceedings of the AISB’03 Symposium on Biologically-inspired Machine Vision, Theory and Application, ed. S.L.N. in Computer Science, pp. 66–73, 2003.

4. Spatial clustering of photospheric structures;Berrili;The Astrophysical Journal,2005

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

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