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A Bayesian approach to the Hough transform for line detection

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3 Author(s)
A. Bonci ; Dipt. di Ingegneria Informatica, Univ. Politecnica delle Marche, Ancona, Italy ; T. Leo ; S. Longhi

This paper explains how to associate a rigorous probability value to the main straight line features extracted from a digital image. A Bayesian approach to the Hough Transform (HT) is considered. Under general conditions, it is shown that a probability measure is associated to each line extracted from the HT. The proposed method increments the HT accumulator in a probabilistic way: first calculating the uncertainty of each edge point in the image and then using a Bayesian probabilistic scheme for fusing the probability of each edge point and calculating the line feature probability.

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IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans  (Volume:35 ,  Issue: 6 )