Multiple-Scale Pattern Recognition Applied to Faint Intergranular G-band Structures

Details Multiple-Scale Pattern Recognition Applied to Faint Intergranular G-band Structures Multiple-Scale Pattern Recognition Applied to Faint Intergranular G-band Structures

Jul 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007soph..243..121b&link_type=abstract

Solar Physics, Volume 243, Issue 2, pp.121-129

Physics

16

Sun: Pattern Recognition, Intergranular Magnetic Features

Scientific paper

Small-scale solar magnetic flux concentrations are studied in two-dimensional G-band images at very high spatial resolution and compared with Ca ii H enhancements. Among 970 small-sized G-band intergranular structures (IgS), 45% are co-spatial with isolated locations of Ca ii H excess and thus considered as magnetic (MIgS); they may be even twice as frequent as the known G-band bright points. The IgS are recognized in the G-band image by a new algorithm operating in four steps: (1) A set of equidistant detection levels yields a pattern of primary “cells”; (2) for each cell, the intrinsic intensity profile is normalized to its brightest pixel; (3) the cell sizes are shrunk by a unitary single-intensity clip; (4) features in contact at an appropriate reference level are merged by removal of the respective common dividing lines. Optionally, adjoining structures may be excluded from this merging process ( e.g., chains of segmented IgS), referring to the parameterized number and intensity of those pixels where enveloping feature contours overlap. From the thus recognized IgS pattern, MIgS are then selected by their local Ca ii H contrast and their mean G-band-to-continuum brightness ratio.

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