Robust line detection using Weighted Radon Transform
Boris A. Alpatov, Pavel V. Babayan, Nikita Yu. Shubin · 2014
One of the most popular approaches to detect lines is based on the Hough transform. Radon transform (RT) allows to made Hough transform by FFT. But real-world difficulties (such as: noise, clutter, blur etc.) decrease the sharpness of the local maximums of RT. The new approach to line detection using the Weighted Radon Transform (WRT) is suggested in this paper. This 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.