Data Extraction from Carte Du Ciel Triple Images

Laskov, Lasko, and Tsvetkov, Milcho. "Data Extraction from Carte Du Ciel Triple Images." Serdica Journal of Computing 7.4 (2013): 317-332. <http://eudml.org/doc/268676>.

@article{Laskov2013,
abstract = {Carte du Ciel (from French, map of the sky) is a part of a 19th century extensive international astronomical project whose goal was to map the entire visible sky. The results of this vast effort were collected in the form of astrographic plates and their paper representatives that are called astrographic maps and are widely distributed among many observatories and astronomical institutes over the world. Our goal is to design methods and algorithms to automatically extract data from digitized Carte du Ciel astrographic maps. This paper examines the image processing and pattern recognition techniques that can be adopted for automatic extraction of astronomical data from stars’ triple expositions that can aid variable stars detection in Carte du Ciel maps.},
author = {Laskov, Lasko, Tsvetkov, Milcho},
journal = {Serdica Journal of Computing},
keywords = {Astrographic Maps; Carte du Ciel; Scientific Heritage; Image Processing; Pattern Recognition},
language = {eng},
number = {4},
pages = {317-332},
publisher = {Institute of Mathematics and Informatics Bulgarian Academy of Sciences},
title = {Data Extraction from Carte Du Ciel Triple Images},
url = {http://eudml.org/doc/268676},
volume = {7},
year = {2013},
}

TY - JOUR
AU - Laskov, Lasko
AU - Tsvetkov, Milcho
TI - Data Extraction from Carte Du Ciel Triple Images
JO - Serdica Journal of Computing
PY - 2013
PB - Institute of Mathematics and Informatics Bulgarian Academy of Sciences
VL - 7
IS - 4
SP - 317
EP - 332
AB - Carte du Ciel (from French, map of the sky) is a part of a 19th century extensive international astronomical project whose goal was to map the entire visible sky. The results of this vast effort were collected in the form of astrographic plates and their paper representatives that are called astrographic maps and are widely distributed among many observatories and astronomical institutes over the world. Our goal is to design methods and algorithms to automatically extract data from digitized Carte du Ciel astrographic maps. This paper examines the image processing and pattern recognition techniques that can be adopted for automatic extraction of astronomical data from stars’ triple expositions that can aid variable stars detection in Carte du Ciel maps.
LA - eng
KW - Astrographic Maps; Carte du Ciel; Scientific Heritage; Image Processing; Pattern Recognition
UR - http://eudml.org/doc/268676
ER -