On Straight Line Segment Detection |
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| Authors: | Rafael Grompone von Gioi Jérémie Jakubowicz Jean-Michel Morel Gregory Randall |
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| Affiliation: | (1) CMLA, ENS Cachan, CNRS, UniverSud, 61 Avenue du Président Wilson, 94230 Cachan, France;(2) IIE, Universidad de la República, Julio Herrera y Reissig 565, Montevideo, Uruguay |
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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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| Keywords: | Straight line segment detection Helmholtz principle A contrario detection Number of false alarms (NFA) |
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