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, 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 |
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Number | 21 |
Country/Territory | United States |
City | Atlanta |
Period | 07/05/1996 → 10/05/1996 |
Internet address |