Automated Detection of Coronal Loops using a Wavelet Transform Modulus Maxima Method
Solar and Stellar Astrophysics
2010-02-17 v1
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.
Keywords
Cite
@article{arxiv.1002.3107,
title = {Automated Detection of Coronal Loops using a Wavelet Transform Modulus Maxima Method},
author = {R. T. James McAteer and Pierre Kestener and Alain Arneodo and Andre Khalil},
journal= {arXiv preprint arXiv:1002.3107},
year = {2010}
}