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In this paper, we present a robust line segment detection algorithm to efficiently detect the line segments from an input image. Firstly a parameter-free Canny operator, named as CannyPF, is proposed to robustly extract the edge map from an input image by adaptively setting the low and high thresholds for the traditional Canny operator. Secondly, both efficient edge linking and splitting techniques are proposed to collect collinear point clusters directly from the edge map, which are used todoi:10.1109/icip.2015.7350850 dblp:conf/icip/LuYLL15 fatcat:ne7ghyen3zfwhmicgi6vdgc65e