A method of complex background estimation in astronomical images
In this paper, we present a novel approach to the estimation of strongly varying backgrounds in astronomical images by means of small-objects removal and subsequent missing pixels interpolation. The method is based on the analysis of a pixel local neighbourhood and utilizes the morphological distanc...
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Published in | Monthly notices of the Royal Astronomical Society Vol. 452; no. 1; pp. 809 - 823 |
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Main Authors | , |
Format | Journal Article |
Language | English |
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Oxford University Press
01.09.2015
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Abstract | In this paper, we present a novel approach to the estimation of strongly varying backgrounds in astronomical images by means of small-objects removal and subsequent missing pixels interpolation. The method is based on the analysis of a pixel local neighbourhood and utilizes the morphological distance transform. In contrast to popular background-estimation techniques, our algorithm allows for accurate extraction of complex structures, like galaxies or nebulae. Moreover, it does not require multiple tuning parameters, since it relies on physical properties of CCD image sensors – the gain and the readout noise characteristics. The comparison with other widely used background estimators revealed higher accuracy of the proposed technique. The superiority of the novel method is especially significant for the most challenging fluctuating backgrounds. The size of filtered-out objects is tunable; therefore, the algorithm may eliminate a wide range of foreground structures, including the dark current impulses, cosmic rays or even entire galaxies in deep field images. |
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AbstractList | In this paper, we present a novel approach to the estimation of strongly varying backgrounds in astronomical images by means of small-objects removal and subsequent missing pixels interpolation. The method is based on the analysis of a pixel local neighbourhood and utilizes the morphological distance transform. In contrast to popular background-estimation techniques, our algorithm allows for accurate extraction of complex structures, like galaxies or nebulae. Moreover, it does not require multiple tuning parameters, since it relies on physical properties of CCD image sensors – the gain and the readout noise characteristics. The comparison with other widely used background estimators revealed higher accuracy of the proposed technique. The superiority of the novel method is especially significant for the most challenging fluctuating backgrounds. The size of filtered-out objects is tunable; therefore, the algorithm may eliminate a wide range of foreground structures, including the dark current impulses, cosmic rays or even entire galaxies in deep field images. |
Author | Popowicz, A. Smolka, B. |
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Cites_doi | 10.1117/3.725073 10.1086/677236 10.1086/307788 10.1016/S0734-189X(86)80047-0 10.1086/184209 10.1016/0031-3203(68)90013-7 10.1086/131977 10.1117/3.374903 10.1117/12.968154 10.1088/1674-4527/14/8/009 10.1086/673179 10.1093/mnras/214.4.575 10.1086/154802 10.1103/PhysRevLett.52.1798 10.1007/s10686-013-9346-1 10.1086/176242 10.1142/6492 10.1016/j.asr.2014.02.023 10.1016/j.patcog.2009.02.013 10.1016/0167-8655(88)90123-7 10.1111/j.1365-2966.2012.20742.x 10.1016/S0167-9473(01)00057-3 10.1086/422843 10.1051/aas:1996164 10.1029/GL014i002p00139 10.1086/316608 10.1086/340952 10.1007/BF00733425 |
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SubjectTerms | Algorithms Cosmic rays Estimating techniques Estimators Extraction Galaxies Impulses Nebulae Physical properties Pixels Star & galaxy formation Tuning |
Title | A method of complex background estimation in astronomical images |
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