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Cited by 841

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

LSD: a Line Segment Detector

Open access
Grompone von Gioi, Rafael, Jakubowicz, Jérémie, Morel, Jean-Michel, Randall, Gregory·2012·Image Processing On Line

Abstract

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 alarm is allowed per image. The method is based on Burns, Hanson, and Riseman's method, and uses an a-contrario validation approach according to Desolneux, Moisan, and Morel's theory. The version described here includes some further improvement over the one described in the original article.

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Crossref · 10.5201/ipol.2012.gjmr-lsd

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Metadata

Authors
Grompone von Gioi, R., Jakubowicz, J., Morel, J.-M., & Randall, G.
Venue
Image Processing On Line
Published
2012-03-24
Volume
2
Pages
35-55
ISSN
2105-1232 (ISSN-L)
OpenAlex
W2156953558
Cited by
841
References
1
FWCI
36.06
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: LSD: a Line Segment Detector. https://app.cochat.ai/papers/10.5201/ipol.2012.gjmr-lsd
The paper
Grompone von Gioi, R., Jakubowicz, J., Morel, J.-M., & Randall, G. (2012). LSD: a Line Segment Detector. Image Processing On Line. https://doi.org/10.5201/ipol.2012.gjmr-lsd

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.