Statistics – Computation
Scientific paper
May 1978
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1978aj.....83..531a&link_type=abstract
Astronomical Journal, vol. 83, May 1978, p. 531-537
Statistics
Computation
51
Astronomical Photography, Digital Techniques, Image Processing, Position (Location), Algorithms, Astrometry, Least Squares Method, Parallax, Photographic Plates, Raster Scanning
Scientific paper
Digital image centering algorithms were compared in a test involving microdensitometer raster scans of a refractor parallax series consisting of 22 stars on 26 plates. The highest accuracy in determining stellar image positions was provided by an algorithm which involved fitting of a symmetric Gaussian curve and a flat background to the image marginal density distributions. Algorithms involving transmission marginals instead of density marginals were found to be less accurate. The repeatability and computational efficiency of the digital image centering technique were also studied.
Auer Lawrence H.
van Altena William F.
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