Automatic Detection of Active Region on EUV Solar Images Using Fuzzy Clustering

作者: M. Carmen Aranda , Carlos Caballero

DOI: 10.1007/978-3-642-14049-5_8

关键词:

摘要: The technique presented in this paper is based on fuzzy clustering order to achieve robust automatic detection of active regions solar images. first part the process seed selection and region growing. After that, obtained are grouped into real using a algorithm. procedure developed has been tested 400 full-disk images (corresponding 4 days) taken from satellite SOHO. results compared with those manually generated for same days very good correspondence found, showing robustness method described.

参考文章(10)
Steven L. Eddins, Rafael C. Gonzalez, Richard E. Woods, Digital Image Processing Using Matlab ,(2006)
P. C. Mahalanobis, On the generalized distance in statistics Proceedings of the National Institute of Sciences (Calcutta). ,vol. 2, pp. 49- 55 ,(1936)
Donald Gustafson, William Kessel, Fuzzy clustering with a fuzzy covariance matrix conference on decision and control. ,vol. 17, pp. 761- 766 ,(1978) , 10.1109/CDC.1978.268028
A. Benkhalil, V. V. Zharkova, S. Zharkov, S. Ipson, ACTIVE REGION DETECTION AND VERIFICATION WITH THE SOLAR FEATURE CATALOGUE Solar Physics. ,vol. 235, pp. 87- 106 ,(2006) , 10.1007/S11207-006-0023-7
V.V. Zharkova, J. Aboudarham, S. Zharkov, S.S. Ipson, A.K. Benkhalil, N. Fuller, Searchable solar feature catalogues Advances in Space Research. ,vol. 36, pp. 1604- 1612 ,(2005) , 10.1016/J.ASR.2005.02.090
R. Qahwaji, T. Colak, Automatic detection and verification of solar features International Journal of Imaging Systems and Technology. ,vol. 15, pp. 199- 210 ,(2005) , 10.1002/IMA.20053
Juan M. Banda, Rafal A. Angryk, On the effectiveness of fuzzy clustering as a data discretization technique for large-scale classification of solar images ieee international conference on fuzzy systems. pp. 2019- 2024 ,(2009) , 10.1109/FUZZY.2009.5277273
Vincent Barra, Veronique Delouille, Jean-Francois Hochedez, Segmentation of Extreme Ultraviolet Solar Images using a Multispectral Data Fusion Process ieee international conference on fuzzy systems. pp. 1- 6 ,(2007) , 10.1109/FUZZY.2007.4295367