Digital or analog Hough Transform?
Author(s) -
Nahum Kiryati,
Michael Lindenbaum,
A. M. Brucksiein
Publication year - 1990
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5244/c.4.59
Subject(s) - hough transform , artificial intelligence , computer vision , computer science , line (geometry) , resolution (logic) , digital image , image (mathematics) , mathematics , image processing , geometry
A variation of the Hough Transform that is aimed at detecting digital lines has been recently suggested. Other Hough algorithms are intended to detect straight lines in the analog pre-image. These approaches arc analyzed and compared in terms of the relation between the achievable resolution and the required number of accumulators, using a definition of resolution that is based on the Geometric Probability measure of straight lines. It is shown that the "analog" approach is greatly superior in high resolution applications, where a "digital" Hough Transform would generally require an infeasibly large number of accumulators.
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