Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1786

 Title: Hough Transform Approach to Identification of Flare Stars in Multi-exposure Plate Images Authors: Dimov, DimoTsvetkova, KatyaTsvetkov, MilchoKolev, AlexanderKounchev, Ognyan Keywords: Image ProcessingHough TransformMulti-Exposure Plate Images ProcessingPattern RecognitionFlare Stars Searching Issue Date: 2012 Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences Citation: Serdica Journal of Computing, Vol. 6, No 1, (2012), 121p-148p Abstract: The paper discusses the progress in the automation of the detection of flare stars through astronomical observations with plates obtained by the multi-exposure “chain” method. In spite of the fact that the astronomical plate observations are considered obsolete in modern astronomy, the computer processing of these images is an actual problem, due to the considerable number of wide-field plates in our country, in Europe and throughout the world. The solution of the problem is implemented in a sequence of three stages: (i) detection of the form of the chains, (ii) location of the chains in the input plate image and (iii) detection of chains representing “flare stars”. The paper is focused on the second stage, the implementation of which requires the use of Hough transform (HT). A theoretical and experimental analysis of the suggested approach connected with HT is presented. The “bottlenecks” in the development are discussed on the basis of a comparative analysis with a competitive approach - the “cumulative” statistic approach to chains in the given image. At the end, a combined approach is offered, uniting the various advantages, but again based on HT. Some experimental results and illustrations are presented. The perspectives for future work, connected with an implementation of a whole software system designed to solve the problem, are described. Description: ACM Computing Classification System (1998): I.2.8 , I.2.10, I.5.1, J.2. URI: http://hdl.handle.net/10525/1786 ISSN: 1312-6555 Appears in Collections: Volume 6 Number 1

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