Mathematics – Logic
Scientific paper
May 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aas...21641511k&link_type=abstract
American Astronomical Society, AAS Meeting #216, #415.11
Mathematics
Logic
Scientific paper
Any attempt to automatically identify the small-scale features of magnetograms taken from space-borne instruments will be encumbered by the inevitable cosmic ray streak which can be comparable in size with physical features of interest. If the size of the data set is very large it becomes necessary for any method of removing cosmic ray streaks to be automated. In this work, we concentrate on geometric properties of cosmic ray streaks (long narrow linear features) as the main criteria for their identification.
Three automated methods were investigated as possible candidates. The first one is based on the linear fit of isolated contours. The standard deviation from the fit was used to identify linear features; however, this proved to be an insufficient filter since on such a small scale the contours of possible solar features may have a good linear fit and thus return false positives. The second method is an unsuccessful attempt to identify cosmic rays based on their values in the accumulator space of a Radon transformation of the image. After removing features in a binary scaled version of the image which were too large to be cosmic rays, the peaks in the accumulator space of that image were used to identify the rays. More sophisticated techniques for identifying the signature of the ray in accumulator space might have greater success. The final attempt uses morphological dilation and erosion operations of the binary scaled version of the image to bring out the shape of the cosmic ray by using linear structuring elements. The results of the last approach are the most promising and deserve further investigation.
Keys Dustin M.
Pevtsov Alexander
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