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Cosmic-Ray Detection Based on Gray-Scale Morphology of Spectroscopic CCD Images

Published online by Cambridge University Press:  05 March 2013

Jia Zhu ,
Zhangqin Zhu ,
Chong Wang  and
Zhongfu Ye
Jia Zhu
Affiliation:
Institute of Statistical Signal Processing, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China PRC
Zhangqin Zhu
Affiliation:
Institute of Statistical Signal Processing, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China PRC
Chong Wang
Affiliation:
Institute of Statistical Signal Processing, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China PRC
Zhongfu Ye*
Affiliation:
Institute of Statistical Signal Processing, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China PRC
*
BCorresponding author. Email: [email protected]
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Abstract

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Detection of cosmic-ray hits is important because of their disturbing effects on image processing. An algorithm based on gray-scale morphology to detect cosmic-rays in single spectroscopic CCD images is presented in this paper. Based on the morphological differences between cosmic-ray hits and spectra, the operations of erosion and dilation are used to deal with images successively, with appropriate structuring elements. Points of cosmic-ray hits can be detected by analyzing the variation between data pre- and post-operation. Examples of the algorithm are given at the end of this paper, with several groups of both simulated LAMOST images and observed SDSS images to show its performance.

Keywords

techniques: image processingcosmic rays
Type
Research Article
Information
Publications of the Astronomical Society of Australia , Volume 26 , Issue 1 , 2009 , pp. 58 - 63
Copyright
Copyright © Astronomical Society of Australia 2009

References

Axelrod, T., Connolly, A., Ivezic, Z., Kantor, J., Lupton, R., Plante, R., Stubbs, C., Wittman, D., 2004, in AAS Meeting, 205, 108.11Google Scholar
Basart, J. P., Chacklackal, M. S. & Gonzalez, R. C., 1992, Advances in Image Analysis, Eds. Mahdavieh, Y. & Gonzalez, R. C. (Bellingham, Washington: SPIE Press), 306 Google Scholar
Becker, A. C., Rest, A., Miknaitis, G., Smith, R. C. & Stubbs, C., 2004, BAAS, 36, 108.12Google Scholar
Candeas, A. J., Braga-Neto, U. M. & Carvalho Filho, E. C. B., 1996, Anais do IX SIBGRAPI, 235 Google Scholar
Candeas, A. J., Braga-Neto, U. M. & Carvalho Filho, E. C. B., 1997, J. Brazilian Computer Society, 3, 14 Google Scholar
Croke, B. F. W., 1995, PASP, 107, 1255 Google Scholar
Farage, C. L. & Pimbblet, K. A., 2005, PASA, 22, 249 Google Scholar
Freudling, W., 1995, PASP, 107, 85 Google Scholar
Heijmans, H. J. A. M., 1992, Nieuw Archief voor Wiskunde, Vierde Serie, 10, 237 Google Scholar
Heijmans, H. J. A. M., 1994, in Shape in Picture: Mathematical Description of Shape in Grey-level Images, 147 Google Scholar
Heijmans, H. J. A. M., 1995, in SIAM Review, 37, 1 Google Scholar
Matheron, G., 1975, Random Sets and Integral Geometry (New York: John Wiley and Sons)Google Scholar
Moore, J. A., Pimbblet, K. A. & Drinkwater, M. J., 2006, PASA, 23, 135 Google Scholar
Offenberg, J. D., Sengupta, R., Fixsen, D. J., Stockman, P., Nieto-Santistenban, M., Stallcup, S., Hanisch, R. & Mather, J. C., 1999, ASPC, 172, 141 Google Scholar
Pych, W., 2004, PASP, 116, 148 Google Scholar
Rhoads, J. E., 2000, PASP, 112, 703 Google Scholar
Salzberg, S., Chandar, R., Ford, H., Murthy, S. K. & White, R., 1995, PASP, 107, 279 Google Scholar
Serra, J., 1982, Image Analysis and Mathematical Morphology (London: Academic Press)Google Scholar
Shaw, R. A. & Horne, K., 1992, ASPC, 25, 311 Google Scholar
Urbach, E. R. & Wilkinson, M. H. F., 2008, ITIP, 17, 1 Google Scholar
van Dokkum, P. G., 2001, PASP, 113, 1420 Google Scholar
van Droogenbroeck, M. & Buckley, M., 2005, JMIV, 22, 121 Google Scholar
Windhorst, R. A. & Franklin, B. E., 1994, PASP, 106, 798 Google Scholar
Zhang, L., Bai, Z. R., Wang, C. & Ye, Z. F., 2007, J. USTC, 37, 688 Google Scholar
Zhu, Z. Q. & Ye, Z. F., 2008, PASP, 120, 814 Google Scholar