Dynamic generalized Hough transform
V. F. Leavers · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1990
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.