Line segments on binary images: algorithm and application
Michel Schmitt · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
This paper deals with the robust extraction of line segments in noisy binary images. The principle is to find maximal geodesic arcs lying in the shape. A rigorous digital framework is first presented, then an efficient algorithm is described and results on real data presented. Some hints for filling the gaps between disconnected arcs are finally exposed.