An investigation of the nature of parametrization for the Hough transform

Shiu Yin Yuen, Chi Ho Ma

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

4 Citations (Scopus)

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. © 1996 IEEE.
Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
PublisherIEEE
Pages537-541
Volume2
ISBN (Print)081867282, 9780818672828
DOIs
Publication statusPublished - 1996
Event13th International Conference on Pattern Recognition, ICPR 1996 - Vienna, Austria
Duration: 25 Aug 199629 Aug 1996

Publication series

Name
Volume2
ISSN (Print)1051-4651

Conference

Conference13th International Conference on Pattern Recognition, ICPR 1996
Country/TerritoryAustria
CityVienna
Period25/08/9629/08/96

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