LSD: a Line Segment Detector
By Rafael Grompone von Gioi, Jérémie Jakubowicz, Jean-Michel Morel, Gregory Randall. Image Processing On Line, 2012
878 citations recorded by the source corpus.
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 [1]. The method is based on Burns, Hanson, and Riseman’s method [2], and uses an a contrario validation approach according to Desolneux, Moisan, and Morel’s theory [3, 4]. The version described here includes some further
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/3dceb913ccb8394e1a5abec051708f86deed5483
How researchers see this paper
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In Computer Vision and Pattern Recognition
- Rafael Grompone von Gioi
- Jean-Michel Morel
- Jérémie Jakubowicz
- Lei Zhang
- Song-Chun Zhu
- Luc Van Gool
- Ming-Hsuan Yang
- Dacheng Tao
In Media Technology
- Jean-Michel Morel
- Lei Zhang
- Peyman Milanfar
- Michael Elad
- Ruben Gomez-Ojeda
- Branko Bijeljic
- Martin J. Blunt
- Wangmeng Zuo
Citations in the corpus
- LSD: A Fast Line Segment Detector with a False Detection Control (2010, background): “This procedure can lead to an erroneous line angle estimation when the background shows a slow intensity variation, see [ 20 ].”