Automatic Segmentation of Jupiter's Aurora on HST Images

Physics

Scientific paper

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0520 Data Analysis: Algorithms And Implementation, 0540 Image Processing, 2704 Auroral Phenomena (2407), 6220 Jupiter

Scientific paper

The aurora on Jupiter (as well as Saturn) can be studied with a high sensitivity and resolution by HST UV imaging and spectroscopy. We present preliminary results of automatic detection and segmentation of Jupiter's auroral emissions as observed by HST. We use a dynamic algorithm for partitioning the underlying pixel grid of an image into regions according to a prescribed homogeneity criterion. The algorithm consists of an iterative procedure that dynamically constructs a Voronoi Diagram or Voronoi tessellation, until the intensity of the underlying image within each region is classified as homogeneous. The computed tessellations allow the extraction of quantitative information about the auroral features such as mean intensity, latitudinal and longitudinal extents. We comment on the possibility of performing a statistical survey of the macroscopic spatial behaviour of the aurora and looking for scale-invariant characteristics, a property of dynamic systems known as self organised criticality.

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