Issue No. 05 - May (1983 vol. 5)
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.
C. M. Brown, "Inherent Bias and Noise in the Hough Transform," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 5, no. , pp. 493-505, 1983.