Dynamic generalized Hough transform

V. F. Leavers

doi:10.1117/12.19754

1 August 1990 Dynamic generalized Hough transform

V. F. Leavers

Proceedings Volume 1251, Curves and Surfaces in Computer Vision and Graphics; (1990) https://doi.org/10.1117/12.19754
Event: Electronic Imaging: Advanced Devices and Systems, 1990, Santa Clara, CA, United States

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.

Citation Download Citation

V. F. Leavers "Dynamic generalized Hough transform", Proc. SPIE 1251, Curves and Surfaces in Computer Vision and Graphics, (1 August 1990); https://doi.org/10.1117/12.19754

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