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 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. Keywords: Radon transform, line detection, object detection.

Line detection in a noisy environment with weighted Radon transform.pdf

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