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 |
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| 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 | |
| Publication status | Published - 1996 |
| Event | 1996 IEEE International Conference on Acoustics, Speech and Signal Processing - Atlanta, GA, United States Duration: 7 May 1996 → 10 May 1996 http://www.eng.auburn.edu/~sjreeves/ICASSP/ |
Conference
| Conference | 1996 IEEE International Conference on Acoustics, Speech and Signal Processing |
|---|---|
| Country | United States |
| City | Atlanta, GA |
| Period | 07/05/1996 → 10/05/1996 |
| Internet address |
Bibliographical note
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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