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IEEE 754 Floating Point Pipelined Multiplier with Karatsuba for Mitigations of Area and Power Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Detection of Coronal Holes in Solar Disk Image Using Fast Fuzzy C-Means Algorithm

Authors : Sanmoy Bandyopadhyay, Saurabh Das, Abhirup Datta

Published in: Computers and Devices for Communication

Publisher: Springer Singapore

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Abstract

Detection of coronal holes (CHs) in the solar disk is one of the important tasks in the domain of astronomy. In this work, a technique based on image segmentation has been used for the detection of the CHs in the solar disk image. Here in the work, the task of image segmentation has been carried out using fast fuzzy c-means algorithm (FFCM). In the work, modified classical fuzzy c-means clustering technique has been induced for the segmentation of solar-disk image and detection of CHs in the image. For the purpose, the histogram of image intensities has been taken into account in order to faster the clustering and segmentation process. The output of the proposed algorithm has been compared visually with other existing technique of CHs detection in order to validate the capability of the proposed technique.

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Footnotes
Literature
1.
Gombosi, T.I.: Physics of the Space Environment. Cambridge University Press (1998)
2.
Harvey, K.L.: Polar coronal holes during cycles 22 and 23. Sol. Phys. 211(1), 31–52 (2002)CrossRef
3.
Krista, L.D., Gallagher, P.T.: Automated coronal hole detection using local intensity thresholding techniques. Sol. Phys. 256(1), 87–100 (2009)CrossRef
4.
Rotter, T., Veronig, A.M., Temmer, M., Vršnak, B.: Relation between coronal hole areas on the sun and the solar wind parameters at 1 AU. Sol. Phys. 281(2), 793–813 (2012)
5.
Lowder, C., Qiu, J., Leamon, R., Liu, Y.: Measurements of EUV coronal holes and open magnetic flux. Astrophys. J. 783(2), 142 (2014)CrossRef
6.
Kirk, M.S., Pesnell, W.D., Young, C.A., Webber, S.H.: Automated detection of EUV polar coronal holes during solar cycle 23. Sol. Phys. 257(1), 99–112 (2009)CrossRef
7.
Boucheron, L.E., Valluri, M., McAteer, R.T.J.: Segmentation of coronal holes using active contours without edges. Sol. Phys. 291(8), 2353–2372 (2016)CrossRef
8.
Caplan, R.M., Downs, C., Linker, J.A.: Synchronic coronal hole mapping using multi-instrument EUV images: data preparation and detection method. Astrophys. J. 823(1), 53 (2016)CrossRef
9.
Ciecholewski, M.: Automated coronal hole segmentation from solar EUV images using the watershed transform. J. Vis. Commun. Image Represent. 33, 203–218 (2015)CrossRef
10.
Verbeeck, C., Delouille, V., Mampaey, B., De Visscher, R.: The SPoCA-suite: software for extraction, characterization, and tracking of active regions and coronal holes on EUV images. Astron. Astrophys. 561, A29 (2014)CrossRef
11.
Illarionov, E.A., Tlatov, A.G.: Segmentation of coronal holes in solar disc images with a convolutional neural network. Mon. Not. R. Astron. Soc. 481(4), 5014–5021 (2018)CrossRef
12.
13.
Bezdek, J.C., Ehrlich, R., Full, W.: FCM: the fuzzy c-means clustering algorithm. Comput. Geosci. 10(2–3), 191–203 (1984)CrossRef
14.
Duda, R.O., Hart, P.E.: Use of the Hough transformation to detect lines and curves in pictures. Commun. ACM 15(1), 11–15 (1972)CrossRef
Metadata
Title
Detection of Coronal Holes in Solar Disk Image Using Fast Fuzzy C-Means Algorithm
Authors
Sanmoy Bandyopadhyay
Saurabh Das
Abhirup Datta
Copyright Year
2021
Publisher
Springer Singapore
Book
Computers and Devices for Communication

Print ISBN: 978-981-15-8365-0

Electronic ISBN: 978-981-15-8366-7

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-8366-7_5