Inherent Bias and Noise in the Hough Transform

Authors:
Christopher M. Brown
Affiliations:
Department of Computer Science, University of Rochester, Rochester, NY 14627.
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1983

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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.