DocumentCode :
2825540
Title :
Edlines: Real-time line segment detection by Edge Drawing (ed)
Author :
Akinlar, Cuneyt ; Topal, Cihan
Author_Institution :
Comput. Eng. Dept., Anadolu Univ., Eskisehir, Turkey
fYear :
2011
fDate :
11-14 Sept. 2011
Firstpage :
2837
Lastpage :
2840
Abstract :
We propose a linear time line segment detector that gives accurate results, requires no parameter tuning, and runs up to 11 times faster than the fastest known line segment detection algorithm in the literature; namely, the LSD by Gioi et al. The proposed algorithm also includes a line validation step due to the Helmholtz principle, which lets it control the number of false detections. Our detector makes use of the clean, contiguous (connected) chain of edge pixels produced by our novel edge detector, the Edge Drawing (ED) algorithm; hence the name EDLines. With its accurate results and blazing speed, EDLines will be very suitable for the next generation real-time computer vision applications.
Keywords :
computational geometry; computer vision; edge detection; image segmentation; EDLines; Helmholtz principle; edge detector; edge drawing algorithm; line validation step; linear time line segment detector; real-time computer vision; real-time line segment detection algorithm; Detectors; Gray-scale; Image edge detection; Image segmentation; Real time systems; Transforms; Edge Drawing Algorithm; Helmholtz Principle; LSD; NFA; Real-Time Line Segment Detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
ISSN :
1522-4880
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2011.6116138
Filename :
6116138
Link To Document :
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