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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
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.

Type
Research Article
Copyright
Copyright © Astronomical Society of Australia 2009

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