Title :
LSD: A Fast Line Segment Detector with a False Detection Control
Author :
Von Gioi, Rafael Grompone ; Jakubowicz, Jérémie ; Morel, Jean-Michel ; Randall, Gregory
Author_Institution :
CMLA, UniverSud, Cachan, France
fDate :
4/1/2010 12:00:00 AM
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.
Keywords :
image sensors; object detection; false detection control; linear-time line segment detector; natural images; state-of-the-art algorithms; Helmholtz principle; Line segment detection; NFA; a contrario detection.; Algorithms; Humans; Image Processing, Computer-Assisted; Linear Models; Pattern Recognition, Automated; Reproducibility of Results; Visual Perception;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2008.300