Cleaning astronomical databases using hough transforms and renewal strings

CKI Williams*, AJ Storkey, NC Hambly, RG Mann

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

In this paper we are concerned with detecting artefactual linear features such as satellite or aeroplane tracks and scratches in astronomical images. The standard approach to line detection is the Hough transform (HT). By combining the HT with renewal processes and hidden Markov models we obtain a probabilistic model (renewal strings) that is a highly effective method for removing these artefacts.

Original languageEnglish
Title of host publicationAdvances in Scattering and Biomedical Engineering
Subtitle of host publicationProceedings of the Sixth International Workshop
EditorsDI Fotiadis, CV Massalas
PublisherWorld Scientific
Pages439-452
Number of pages14
ISBN (Electronic)978-981-4482-26-4
ISBN (Print)978-981-238-924-4
DOIs
Publication statusPublished - 2004
Event6th International Workshop on Advances in Scattering and Biomedical Engineering - Tsepelovo, Greece
Duration: 18 Sept 200321 Sept 2003

Conference

Conference6th International Workshop on Advances in Scattering and Biomedical Engineering
Country/TerritoryGreece
Period18/09/0321/09/03

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