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Automatic Detection of Low-Surface Brightness Galaxies on Digital Images

Published online by Cambridge University Press:  26 July 2016

R.M. Smith ,
G.J. Privett ,
S. Phillipps  and
J.I. Davies
R.M. Smith
Affiliation:
Department of Physics, University of Wales College of Cardiff, P.O. Box 913, Cardiff CF1 3TH Wales, U.K.
G.J. Privett
Affiliation:
Department of Physics, University of Wales College of Cardiff, P.O. Box 913, Cardiff CF1 3TH Wales, U.K.
S. Phillipps
Affiliation:
Department of Physics, University of Wales College of Cardiff, P.O. Box 913, Cardiff CF1 3TH Wales, U.K.
J.I. Davies
Affiliation:
Department of Physics, University of Wales College of Cardiff, P.O. Box 913, Cardiff CF1 3TH Wales, U.K.

Extract

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Algorithms employed to identify and quantify images on digitised images mostly employ contiguous-pixel (e.g. PISA [based on APM software by Irwin {1985}]) or median-filtering techniques and thus miss extended low surface-brightness features. Searches for low surface brightness galaxies (LSBGs) have therefore so far concentrated on eye-ball searches of Schmidt survey plates. To overcome the subjectiveness of eyeball searches and eliminate the inherent problems in current object-detection algorithms we have investigated other techniques.

Type
Part Eleven: Local Group Dwarf Galaxies and LSB Galaxies
Information
Symposium - International Astronomical Union , Volume 161: Astronomy from Wide-Field Imaging , 1994 , pp. 549 - 552
Copyright
Copyright © Kluwer 1994 

References

Irwin, M.J, 1985. Mon. Not. R. astron. Soc., 214, 575.CrossRefGoogle Scholar
Phillipps, S. and Davies, J.I., 1991. Mon. Not. R. astron. Soc., 251, 105.CrossRefGoogle Scholar