An investigation of the nature of parameterization for the Hough transform

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摘要

A novel parameterization method for the Hough transform is reported. Instead of the conventional non-parametric form, the parametric form is used and copies of the transformed shape are plotted on two-dimensional slices of the Hough space. It is shown that the corresponding parameterization has uniform precision with respect to translation, and cancels out the quantization uncertainty due to image digitization. A problem of the Hough transform is discovered which is due to non-uniform discretized voting. It is shown that the above class of parameterizations avoids the problem. Finally, a particular solution of the parameterization scheme is described which is called the Fourier parameterization. It is shown that the parameterization has uniform precision with respect to the affine transformation.

论文关键词:Hough transform,Parameterization,Fourier descriptor,Parametric form,Subdivision method,Computer graphics,Inherent bias,Search space

论文评审过程:Received 22 January 1996, Revised 1 August 1996, Accepted 14 August 1996, Available online 7 June 2001.

论文官网地址:https://doi.org/10.1016/S0031-3203(97)85267-3