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

Peter Aundal Toft

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    487 Downloads (Pure)

    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 languageEnglish
    Title of host publicationConference Proceedings. 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing
    VolumeVolume 4
    PublisherIEEE
    Publication date1996
    Pages2221-2225
    ISBN (Print)07-80-33192-3
    DOIs
    Publication statusPublished - 1996
    Event1996 IEEE International Conference on Acoustics, Speech and Signal Processing - Atlanta, GA, United States
    Duration: 7 May 199610 May 1996
    http://www.eng.auburn.edu/~sjreeves/ICASSP/

    Conference

    Conference1996 IEEE International Conference on Acoustics, Speech and Signal Processing
    CountryUnited States
    CityAtlanta, GA
    Period07/05/199610/05/1996
    Internet address

    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.

    Cite this

    Toft, P. A. (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, pp. 2221-2225). IEEE. https://doi.org/10.1109/ICASSP.1996.545862