Solar image segmentation by use of mean field fast annealing

Details Solar image segmentation by use of mean field fast annealing Solar image segmentation by use of mean field fast annealing

Aug 1998

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1998a%26as..131..371b&link_type=abstract

Astronomy and Astrophysics Supplement, v.131, p.371-375

Astronomy and Astrophysics

Astrophysics

11

Sunspots, Methods: Data Analysis

Scientific paper

We present a ``continuous'' analysis of a solar H_α image in order to address the problem of image segmentation. Our approach is based on combinatorial optimization methods and in particular on Mean Field Fast Annealing (MFFA). Mean-field theory gives a deterministic nature to our algorithm while its efficiency is improved by a fast cooling schedule. We show how this method can be used to separate efficiently the regions of different solar activity giving a tool for a future automated recognition and classification of sunspots.

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