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Inherent Bias and Noise in the Hough Transform
May 1983 (vol. 5 no. 5)
pp. 493-505
Christopher M. Brown, Department of Computer Science, University of Rochester, Rochester, NY 14627.
Considering the Hough transformation as a linear imaging process recasts certain well-known problems, provides a useful vocab-ulary, and possibly indicates a source of applicable literature on the behavior of the Hough transformation in various forms of noise. A consideration of the analytic form of peaks in parameter space sets the stage for the idea of using complementary (negative) votes to cancel off-peak positive votes in parameter space, thus sharpening peaks and reducing bias.
Citation:
Christopher M. Brown, "Inherent Bias and Noise in the Hough Transform," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 5, no. 5, pp. 493-505, May 1983, doi:10.1109/TPAMI.1983.4767428
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