Computer-aided solar astronomy: an image-processing example

Details Computer-aided solar astronomy: an image-processing example Computer-aided solar astronomy: an image-processing example

Jun 1994

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994spie.2198.1368c&link_type=abstract

Proc. SPIE Vol. 2198, p. 1368-1375, Instrumentation in Astronomy VIII, David L. Crawford; Eric R. Craine; Eds.

Astronomy and Astrophysics

Astronomy

Scientific paper

In this paper, we describe a complete pattern recognition procedure for extracting magnetic features in solar images, for tracking each feature from an image to another, thus deriving rotational and meridional motions with unequaled accuracy, and for tracking some of these features concurrently within a multispectral image flow, thus building the corresponding 3D magnetic structure and its evolution over time. The segmentation procedures lean upon the `translation' of the physical knowledge into an algorithmic functional decomposition. This methodology enables a fast and robust design of algorithms and leads to a higher accuracy. A multiresolution elastic matching is then used to track features and extract the surface motion of the sun. This matching implies designing an optimization scheme that fits the anisotropy of the motion as well as a target selection that requires no precomputed threshold. The multispectral images are segmented in a cooperative way, thus giving 3D structures. We introduce a fast algorithm to build the 3D connection between planar sections and show how the volumic information is necessary to tracking, based on the same elastic matching scheme.

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