Edlines: Real-time line segment detection by Edge Drawing (ed)

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 st...

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Bibliographic Details
Published in:2011 18th IEEE International Conference on Image Processing pp. 2837 - 2840
Main Authors: Akinlar, C., Topal, C.
Format: Conference Proceeding
Language:English
Published: IEEE 01.09.2011
Subjects:
Detectors
Edge Drawing Algorithm
Gray-scale
Helmholtz Principle
Image edge detection
Image segmentation
LSD
NFA
Real time systems
Real-Time Line Segment Detection
Transforms
ISBN:1457713047, 9781457713040
ISSN:1522-4880
Online Access:Get full text
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Summary: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.
ISBN:1457713047
9781457713040
ISSN:1522-4880
DOI:10.1109/ICIP.2011.6116138