LSD: A Fast Line Segment Detector with a False Detection Control

By Grompone von Gioi Rafael, Jakubowicz Jérémie, Morel Jean-Michel, and Randall Gregory
IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)

  • Rafael Grompone von Gioi

    ENS Cachan



November 6, 2013

Last update

November 6, 2013










LSD is a linear-time Line Segment Detector giving subpixel accurate results. It is designed to work on any digital image without parameter tuning. It controls its own number of false detections: On average, one false alarms is allowed per image [1]. The method is based on Burns, Hanson, and Riseman's method [2], and uses an a contrario validation approach according to the Desolneux, Moisan, and Morel's theory [3,4]. The version described here includes some further improvement over the one described in [1].

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