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On Straight Line Segment Detection

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Abstract

In this paper we propose a comprehensive method for detecting straight line segments in any digital image, accurately controlling both false positive and false negative detections. Based on Helmholtz principle, the proposed method is parameterless. At the core of the work lies a new way to interpret binary sequences in terms of unions of segments, for which a dynamic programming implementation is given. The proposed algorithm is extensively tested on synthetic and real images and compared with the state of the art.

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Authors and Affiliations

  1. CMLA, ENS Cachan, CNRS, UniverSud, 61 Avenue du Président Wilson, 94230, Cachan, France

    Rafael Grompone von Gioi, Jérémie Jakubowicz & Jean-Michel Morel

  2. IIE, Universidad de la República, Julio Herrera y Reissig 565, Montevideo, Uruguay

    Gregory Randall

Authors
  1. Rafael Grompone von Gioi
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  2. Jérémie Jakubowicz
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  3. Jean-Michel Morel
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  4. Gregory Randall
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Correspondence to Rafael Grompone von Gioi.

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Grompone von Gioi, R., Jakubowicz, J., Morel, JM. et al. On Straight Line Segment Detection. J Math Imaging Vis 32, 313–347 (2008). https://doi.org/10.1007/s10851-008-0102-5

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  • DOI: https://doi.org/10.1007/s10851-008-0102-5

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