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Proceedings Paper

Dynamic generalized Hough transform
Author(s): V. F. Leavers
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Paper Abstract

A new algorithm for the Generalized Hough transform is presented. The information available in the distribution of image points is used to optimize the computation of the transform. The calculated parameters are those associated with a single image point and all other image points in combinations of the minimum number of points necessary to define an instance of the shape under detection. The method requires only one dimensional accumulation of evidence. Using the algorithm, the transform of sparse images is more efficiently calculated. Dense images may be segmented and similarly processed. In two dimensions, the method provides a feedback mechanism between image and transform space whereby contiguity of feature points and endpoints of curves may be determined.

Paper Details

Date Published: 1 August 1990
PDF: 12 pages
Proc. SPIE 1251, Curves and Surfaces in Computer Vision and Graphics, (1 August 1990); doi: 10.1117/12.19754
Show Author Affiliations
V. F. Leavers, King's College London (United Kingdom)

Published in SPIE Proceedings Vol. 1251:
Curves and Surfaces in Computer Vision and Graphics
Leonard A. Ferrari; Rui J. P. de Figueiredo, Editor(s)

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