arXiv · 1002.3107
Automated Detection of Coronal Loops using a Wavelet Transform Modulus Maxima Method
Abstract
We propose and test a wavelet transform modulus maxima method for the au- tomated 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 maximise completeness while minimising 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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R. T. James McAteer, Pierre Kestener, Alain Arneodo, Andre Khalil. 2010-02-16. Automated Detection of Coronal Loops using a Wavelet Transform Modulus Maxima Method. https://doi.org/10.1007/s11207-010-9530-7
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