P.V. Babayan - Ph.D. (Eng.), Associate Professor, Head of the Laboratory of the Department «Automation and Information Technology in Management», Ryazan State Radio Engineering University. E-mail: aitu@rsreu.ru
N.Y. Shubin - Ph.D. (Eng.), Associate Professor, Department «Automation and Information Technology in Management», Ryazan State Radio Engineering University. E-mail: aitu@rsreu.ru

One of the most popular approaches to detect lines is based on the Radon trans-form (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 WRT-based algorithm can be effectively implemented in real-time systems using parallelization and FFT-based techniques.