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Issue No. 05 - May (1983 vol. 5)
ISSN: 0162-8828
pp: 493-505
Christopher M. Brown , Department of Computer Science, University of Rochester, Rochester, NY 14627.
ABSTRACT
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.
INDEX TERMS
CITATION
Christopher M. Brown, "Inherent Bias and Noise in the Hough Transform", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 5, no. , pp. 493-505, May 1983, doi:10.1109/TPAMI.1983.4767428
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