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Weighted Radon transform for line detection in noisy images

[+] Author Affiliations
Boris A. Alpatov, Pavel V. Babayan, Nikita Y. Shubin

Ryazan State Radio Engineering University, 59/1, Gagarin Street, Ryazan 390005, Russia

J. Electron. Imaging. 24(2), 023023 (Mar 30, 2015). doi:10.1117/1.JEI.24.2.023023
History: Received September 25, 2014; Accepted March 12, 2015
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Abstract.  In the practice of line detection applications based on Radon transform (RT), noise and clutter decrease the sharpness of the RT local peaks, which correspond to linear edges in the original image. We suggest a new approach to line detection on gray-scale images using the so-called weighted Radon transform (WRT). The proposed WRT-based approach exploits gradient direction information in such a way that only the gradient component perpendicular to the line direction is integrated to form a local peak corresponding to the line. Theoretical and experimental studies have shown the effectiveness of the suggested WRT-based line detection method.

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Citation

Boris A. Alpatov ; Pavel V. Babayan and Nikita Y. Shubin
"Weighted Radon transform for line detection in noisy images", J. Electron. Imaging. 24(2), 023023 (Mar 30, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.2.023023


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