Using the generalized Radon transform for detection of curves in noisy images

Peter Aundal Toft

doi:10.1109/ICASSP.1996.545862

Using the generalized Radon transform for detection of curves in noisy images

Peter Aundal Toft

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Abstract

In this paper the discrete generalized Radon transform will be investigated as a tool for detection of curves in noisy digital images. The discrete generalized Radon transform maps an image into a parameter domain, where curves following a specific parameterized curve form will correspond to a peak in the parameter domain. A major advantage of the generalized Radon transform is that the curves are allowed to intersect. This enables a thresholding algorithm in the parameter domain for simultaneous detection of curve parameters. A threshold level based on the noise level in the image is derived. A numerical example is presented to illustrate the theory

Original language	English
Title of host publication	Conference Proceedings. 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing
Volume	Volume 4
Publisher	IEEE
Publication date	1996
Pages	2221-2225
ISBN (Print)	07-80-33192-3
DOIs	https://doi.org/10.1109/ICASSP.1996.545862
Publication status	Published - 1996
Event	1996 IEEE International Conference on Acoustics, Speech and Signal Processing - Atlanta, United States Duration: 7 May 1996 → 10 May 1996 Conference number: 21 http://www.eng.auburn.edu/~sjreeves/ICASSP/

Conference

Conference	1996 IEEE International Conference on Acoustics, Speech and Signal Processing
Number	21
Country/Territory	United States
City	Atlanta
Period	07/05/1996 → 10/05/1996
Internet address	http://www.eng.auburn.edu/~sjreeves/ICASSP/

Bibliographical note

Copyright 1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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title = "Using the generalized Radon transform for detection of curves in noisy images",

abstract = "In this paper the discrete generalized Radon transform will be investigated as a tool for detection of curves in noisy digital images. The discrete generalized Radon transform maps an image into a parameter domain, where curves following a specific parameterized curve form will correspond to a peak in the parameter domain. A major advantage of the generalized Radon transform is that the curves are allowed to intersect. This enables a thresholding algorithm in the parameter domain for simultaneous detection of curve parameters. A threshold level based on the noise level in the image is derived. A numerical example is presented to illustrate the theory",

author = "Toft, \{Peter Aundal\}",

note = "Copyright 1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.; 1996 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1996 ; Conference date: 07-05-1996 Through 10-05-1996",

year = "1996",

doi = "10.1109/ICASSP.1996.545862",

language = "English",

isbn = "07-80-33192-3",

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booktitle = "Conference Proceedings. 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing",

publisher = "IEEE",

address = "United States",

url = "http://www.eng.auburn.edu/\textasciitilde{}sjreeves/ICASSP/",

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Toft, PA 1996, Using the generalized Radon transform for detection of curves in noisy images. in Conference Proceedings. 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing. vol. Volume 4, IEEE, pp. 2221-2225, 1996 IEEE International Conference on Acoustics, Speech and Signal Processing, Atlanta, Georgia, United States, 07/05/1996. https://doi.org/10.1109/ICASSP.1996.545862

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T1 - Using the generalized Radon transform for detection of curves in noisy images

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N1 - Conference code: 21

PY - 1996

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N2 - In this paper the discrete generalized Radon transform will be investigated as a tool for detection of curves in noisy digital images. The discrete generalized Radon transform maps an image into a parameter domain, where curves following a specific parameterized curve form will correspond to a peak in the parameter domain. A major advantage of the generalized Radon transform is that the curves are allowed to intersect. This enables a thresholding algorithm in the parameter domain for simultaneous detection of curve parameters. A threshold level based on the noise level in the image is derived. A numerical example is presented to illustrate the theory

AB - In this paper the discrete generalized Radon transform will be investigated as a tool for detection of curves in noisy digital images. The discrete generalized Radon transform maps an image into a parameter domain, where curves following a specific parameterized curve form will correspond to a peak in the parameter domain. A major advantage of the generalized Radon transform is that the curves are allowed to intersect. This enables a thresholding algorithm in the parameter domain for simultaneous detection of curve parameters. A threshold level based on the noise level in the image is derived. A numerical example is presented to illustrate the theory

U2 - 10.1109/ICASSP.1996.545862

DO - 10.1109/ICASSP.1996.545862

M3 - Article in proceedings

SN - 07-80-33192-3

VL - Volume 4

SP - 2221

EP - 2225

BT - Conference Proceedings. 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing

PB - IEEE

T2 - 1996 IEEE International Conference on Acoustics, Speech and Signal Processing

Y2 - 7 May 1996 through 10 May 1996

ER -

Using the generalized Radon transform for detection of curves in noisy images

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