Automated techniques for the analysis of magnetic field inversion in filaments with the Solar Feature Catalogue

We present an automated comparison of magnetic field inversion line maps from SOHO/MDI magnetograms with solar filament data from the Solar Feature Catalogue created as part of the European Grid of Solar Observations project. The Euclidean distance transform and connected component labelling are used to identify nearest neighbour filament skeletons and inversion lines. Several filament-inversion line characteristics are defined and used to automate the decision whether a particular filament/inversion line pair is suitable for quantitative comparison of orientation and separation. The technique is tested on a total of 207 filaments from four H_α images, and the distributions of angles and distances between filament skeletons and LOS magnetic inversion lines are presented for six degrees of magnetic field smoothing. The results show the approach is robust and can be applied for a statistical analysis of magnetic field in filaments.