Line Segment Detection Based on False Peak Suppression and Local Hough Transform and Application for Contact Point Detection

Abstract

This paper mainly proposes a line segment detection method based on false peak suppression and local Hough transform. It can effectively suppress the impact of noise in binary images on line segment detection performance and solve the problems of short line false detection, missing detection and over-segmentation, and acquire line segment features in pantograph-catenary panoramic images robustly. In the actual pantograph-catenary panoramic images dataset test, the comparison results of the detection accuracy of the pantograph-catenary panoramic images line segments and contact points show that the proposed method is able to reduce the missing detection while improving the detection accuracy of the pantograph-catenary contact point. Moreover, the tests on the public YorkUrban dataset also show that the proposed method in this paper achieves the optimal results in the evaluation of accuracy and processing speed, which also has a strong generalization ability in high-quality natural images.