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Inherent Bias and Noise in the Hough Transform

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1 Author(s)
Brown, Christopher M. ; 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.

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:PAMI-5 ,  Issue: 5 )

Date of Publication:

Sept. 1983

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