Truncating the Hough transform parameter space can be beneficial

Authors:
E. R. Davies
Affiliations:
Machine Vision Group, Department of Physics, Royal Holloway, University of London, Egham, Surrey TW20 0EX, UK
Venue:
Pattern Recognition Letters
Year:
2003

Citing 3
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Abstract

This paper studies the size of parameter space used in line detection by the Hough transform. The normal and the foot-of-normal parametrisations are both examined. While neither method uses the full 2-D parameter space reserved for it, it is shown that storage efficiency can be increased if short oblique lines through the corner regions of the image are ignored, and that the process has no deleterious effect on the sensitivity with which other lines can be detected.