Line detection in a noisy environment with weighted Radon transform

Pavel Babayan; Nikita Shubin

doi:10.1117/12.2037478

7 March 2014 Line detection in a noisy environment with weighted Radon transform

Pavel Babayan, Nikita Shubin

Proceedings Volume 9024, Image Processing: Machine Vision Applications VII; 902409 (2014) https://doi.org/10.1117/12.2037478
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

One of the most popular approaches to detect lines is based on the Radon transform (RT). But in real-world applications RT-based approach suffers from the noise and clutter, because they decrease the sharpness of the local maximums. In this paper we suggest a new approach to computational effective line detection using the Weighted Radon Transform (WRT). The suggested WRT-based approach uses gradient direction information, so only the differences that are perpendicular to the line direction are integrated to make a local maximum corresponding to the line. The theoretical and experimental studies show the effectiveness of the WRT-based line detection. The suggested WRTbased algorithm can be effectively implemented in real-time systems using parallelization and FFT-based techniques.

Citation Download Citation

Pavel Babayan and Nikita Shubin "Line detection in a noisy environment with weighted Radon transform", Proc. SPIE 9024, Image Processing: Machine Vision Applications VII, 902409 (7 March 2014); https://doi.org/10.1117/12.2037478

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