Hough Transform Approach to Identification of Flare Stars in Multi-exposure Plate Images

Dimov, Dimo, et al. "Hough Transform Approach to Identification of Flare Stars in Multi-exposure Plate Images." Serdica Journal of Computing 6.1 (2012): 121-148. <http://eudml.org/doc/219562>.

@article{Dimov2012,
abstract = {ACM Computing Classification System (1998): I.2.8 , I.2.10, I.5.1, J.2.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.This work is supported by Grant No DO-02-275/2008 of the National Science Fund of the Bulgarian Ministry of Education, Youth and Science to the Institute of Information and Communication Technologies at the Bulgarian Academy of Sciences (IICT-BAS).},
author = {Dimov, Dimo, Tsvetkova, Katya, Tsvetkov, Milcho, Kolev, Alexander, Kounchev, Ognyan},
journal = {Serdica Journal of Computing},
keywords = {Image Processing; Hough Transform; Multi-Exposure Plate Images Processing; Pattern Recognition; Flare Stars Searching},
language = {eng},
number = {1},
pages = {121-148},
publisher = {Institute of Mathematics and Informatics Bulgarian Academy of Sciences},
title = {Hough Transform Approach to Identification of Flare Stars in Multi-exposure Plate Images},
url = {http://eudml.org/doc/219562},
volume = {6},
year = {2012},
}

TY - JOUR
AU - Dimov, Dimo
AU - Tsvetkova, Katya
AU - Tsvetkov, Milcho
AU - Kolev, Alexander
AU - Kounchev, Ognyan
TI - Hough Transform Approach to Identification of Flare Stars in Multi-exposure Plate Images
JO - Serdica Journal of Computing
PY - 2012
PB - Institute of Mathematics and Informatics Bulgarian Academy of Sciences
VL - 6
IS - 1
SP - 121
EP - 148
AB - ACM Computing Classification System (1998): I.2.8 , I.2.10, I.5.1, J.2.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.This work is supported by Grant No DO-02-275/2008 of the National Science Fund of the Bulgarian Ministry of Education, Youth and Science to the Institute of Information and Communication Technologies at the Bulgarian Academy of Sciences (IICT-BAS).
LA - eng
KW - Image Processing; Hough Transform; Multi-Exposure Plate Images Processing; Pattern Recognition; Flare Stars Searching
UR - http://eudml.org/doc/219562
ER -