IPOL Journal · Image Processing On Line
- published
- 2012-03-24
- reference
- Rafael Grompone von Gioi, Jérémie Jakubowicz, Jean-Michel Morel, and Gregory Randall, LSD: a Line Segment Detector, Image Processing On Line, 2 (2012), pp. 35–55. https://doi.org/10.5201/ipol.2012.gjmr-lsd
Communicated by Lionel Moisan
Demo edited by Rafael Grompone
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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- full text manuscript: PDF (1.3M)
- source code: ZIP
Supplementary Materials
Non-Reviewed Supplementary Materials
These files and information are provided by the authors and have not been reviewed.
History
- this article was converted to PDF on 2012-10-29
- the original version was published on 2012-03-24: manuscript, source code
- Note from the editor: the manuscript of the article was modified on 2022-01-01 to include information about its editors. The original version of the manuscript is available here.
