Abstract
We propose and test a wavelet transform modulus maxima method for the automated detection and extraction of coronal loops in extreme ultraviolet images of the solar corona. This method decomposes an image into a number of size scales and tracks enhanced power along each ridge corresponding to a coronal loop at each scale. We compare the results across scales and suggest the optimum set of parameters to maximize completeness, while minimizing detection of noise. For a test coronal image, we compare the global statistics (e.g. number of loops at each length) to previous automated coronal-loop detection algorithms.
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Solar Image Processing and Analysis
Guest Editors: J. Ireland and C.A. Young
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McAteer, R.T.J., Kestener, P., Arneodo, A. et al. Automated Detection of Coronal Loops Using a Wavelet Transform Modulus Maxima Method. Sol Phys 262, 387–397 (2010). https://doi.org/10.1007/s11207-010-9530-7
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DOI: https://doi.org/10.1007/s11207-010-9530-7