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Proceedings Paper

Computer-aided solar astronomy: an image-processing example
Author(s): Bertrand Collin; Veronique Serfaty; Bertrand Zavidovique
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Paper Abstract

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.

Paper Details

Date Published: 1 June 1994
PDF: 8 pages
Proc. SPIE 2198, Instrumentation in Astronomy VIII, (1 June 1994); doi: 10.1117/12.176822
Show Author Affiliations
Bertrand Collin, ETCA/CREA Lab. Systeme de Perception (France)
Veronique Serfaty, ETCA/CREA Lab. Systeme de Perception (France)
Bertrand Zavidovique, ETCA/CREA Lab. Systeme de Perception (France)


Published in SPIE Proceedings Vol. 2198:
Instrumentation in Astronomy VIII
David L. Crawford; Eric R. Craine, Editor(s)

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