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Parametric Equation of Hough Transform for Log-Polar Image Representation  

Choi, Il (School of Electronic and Electrical Engineering, Kyungpook National University)
Kim, Dong-su (YENT Co.)
Chien, Sung-Il (School of Electronic and Electrical Engineering, Kyungpook National University)
Publication Information
Abstract
This paper presents a new parametric log line equation of polar form for Hough transform in log-polar plane, in which it can remove the well-known unboundedness problem of Hough parameters. Bolduc's method is used to generate a log-polar image dividing the fovea and periphery from a Cartesian image. Edges of the fovea and periphery are detected by using the Sobel mask and the proposed space-variant gradient mask, and are combined in the log-polar plane. The sampled points that might constitute a log line are quite sparse in a deep peripheral region due to severe under-sampling, which is an inherent property of LPM. To cope with such under-sampling, we determine the values of cumulative cells in Hough space by using the space-variant weighting. In our experiments, the proposed method demonstrates its validity of detecting not only the lines passing through both the fovea and periphery but also the lines in a deep periphery.
Keywords
parametiric log line equation; Hough transform; space-variant operator;
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