Cleaning astronomical databases using hough transforms and renewal strings

CKI Williams; AJ Storkey; NC Hambly; RG Mann

doi:10.1142/9789812702593_0047

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 proceeding › Conference 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 language	English
Title of host publication	Advances in Scattering and Biomedical Engineering
Subtitle of host publication	Proceedings of the Sixth International Workshop
Editors	DI Fotiadis, CV Massalas
Publisher	World Scientific
Pages	439-452
Number of pages	14
ISBN (Electronic)	978-981-4482-26-4
ISBN (Print)	978-981-238-924-4
DOIs	https://doi.org/10.1142/9789812702593_0047
Publication status	Published - 2004
Event	6th International Workshop on Advances in Scattering and Biomedical Engineering - Tsepelovo, Greece Duration: 18 Sept 2003 → 21 Sept 2003

Conference

Conference	6th International Workshop on Advances in Scattering and Biomedical Engineering
Country/Territory	Greece
Period	18/09/03 → 21/09/03

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10.1142/9789812702593_0047

http://www.worldscientific.com/doi/abs/10.1142/9789812702593_0047

Cite this

@inproceedings{0863eb12195c43728e82471c1cbd08b1,

title = "Cleaning astronomical databases using hough transforms and renewal strings",

abstract = "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.",

author = "CKI Williams and AJ Storkey and NC Hambly and RG Mann",

year = "2004",

doi = "10.1142/9789812702593_0047",

language = "English",

isbn = "978-981-238-924-4 ",

pages = "439--452",

editor = "DI Fotiadis and CV Massalas",

booktitle = "Advances in Scattering and Biomedical Engineering",

publisher = "World Scientific",

note = "6th International Workshop on Advances in Scattering and Biomedical Engineering ; Conference date: 18-09-2003 Through 21-09-2003",

}

Williams, CKI , Storkey, AJ , Hambly, NC & Mann, RG 2004, Cleaning astronomical databases using hough transforms and renewal strings. in DI Fotiadis & CV Massalas (eds), Advances in Scattering and Biomedical Engineering: Proceedings of the Sixth International Workshop. World Scientific, pp. 439-452, 6th International Workshop on Advances in Scattering and Biomedical Engineering, Greece, 18/09/03. https://doi.org/10.1142/9789812702593_0047

Cleaning astronomical databases using hough transforms and renewal strings. / Williams, CKI ; Storkey, AJ ; Hambly, NC et al.
Advances in Scattering and Biomedical Engineering: Proceedings of the Sixth International Workshop. ed. / DI Fotiadis; CV Massalas. World Scientific, 2004. p. 439-452.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Cleaning astronomical databases using hough transforms and renewal strings

AU - Williams, CKI

AU - Storkey, AJ

AU - Hambly, NC

AU - Mann, RG

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

U2 - 10.1142/9789812702593_0047

DO - 10.1142/9789812702593_0047

M3 - Conference contribution

SN - 978-981-238-924-4

SP - 439

EP - 452

BT - Advances in Scattering and Biomedical Engineering

A2 - Fotiadis, DI

A2 - Massalas, CV

PB - World Scientific

T2 - 6th International Workshop on Advances in Scattering and Biomedical Engineering

Y2 - 18 September 2003 through 21 September 2003

ER -

Cleaning astronomical databases using hough transforms and renewal strings

Abstract / Description of output

Conference

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