Abstract
Data structures, and aspects of programming languages and programming systems that are relevant to image processing of astronomy data are discussed. Since parallel processing promises to greatly increase the speed with which images can be analyzed, techniques that will help achieve this speed and new methods that may become possible because of it are of interest.
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© 1985 Plenum Press, New York
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Tanimoto, S.L. (1985). Data Structures and Languages in Support of Parallel Image Processing for Astronomy. In: Gesù, V.D., Scarsi, L., Crane, P., Friedman, J.H., Levialdi, S. (eds) Data Analysis in Astronomy. Ettore Majorana International Science Series, vol 24. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-9433-8_43
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DOI: https://doi.org/10.1007/978-1-4615-9433-8_43
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