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
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