Title :
An investigation of the nature of parametrization for the Hough transform
Author :
Yuen, Shiu Yin ; Ma, Chi Ho
Author_Institution :
Dept. of Electron. Eng., City Polytech. of Hong Kong, Kowloon, Hong Kong
Abstract :
A novel parametrization 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 parametrization 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 parametrizations avoids the problem. Finally, a particular solution of the parametrization scheme is described which is called the Fourier parametrization. It is shown that the parametrization has uniform precision with respect to the affine transformation
Keywords :
Fourier transforms; Hough transforms; computer vision; quantisation (signal); Fourier parametrization; Hough space; Hough transform; discretized voting; image digitization; parametrization; Artificial intelligence; Differential equations; Image sampling; Inspection; Noise shaping; Quantization; Shape; Uncertainty; Voting;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.546882