LSD: A Fast Line Segment Detector with a False Detection Control
École Normale Supérieure Paris-Saclay · Universidad de la República · +2 more institutions
Indexed incrossrefpubmed
Abstract
We propose a linear-time line segment detector that gives accurate results, a controlled number of false detections, and requires no parameter tuning. This algorithm is tested and compared to state-of-the-art algorithms on a wide set of natural images.
Citation impact
1,928
total citations
- FWCI
- 36.44
- Percentile
- 100%
- References
- 22
Citations per year
Authors
4- RGRafael Grompone von GioiCorresponding
École Normale Supérieure Paris-Saclay, Universidad de la República, Centre National de la Recherche Scientifique, Université Paris-Sud
- JJJérémie Jakubowicz
École Normale Supérieure Paris-Saclay, Université Paris-Sud, Centre National de la Recherche Scientifique
- JMJean‐Michel Morel
Centre National de la Recherche Scientifique, École Normale Supérieure Paris-Saclay, Université Paris-Sud
- GRGrégory Randall
Universidad de la República
Topics & keywords
Topics
Keywords
- Detector
- Artificial intelligence
- Computer science
- Line (geometry)
- Pattern recognition (psychology)
- Set (abstract data type)
- Computer vision
- Object detection
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