Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10886
Title: Principal direction-based Hough transform for line detection
Authors: Zhao, Y
Pan, H
du, C
Zheng, Y
Keywords: Hough transform
Line detection
Line segment extraction
Principal curvature
Principal direction
Issue Date: 2015
Publisher: Optical Society of Japan
Source: Optical review, 2015 How to cite?
Journal: Optical review 
Abstract: A robust and fast line detection method based on Hough transform (HT) is proposed in this paper. Edge pixels are extracted based on the summation and ratio of principal curvatures. Probabilistic sampling on the edge pixels is applied to reduce the count of voting. Then a one-to-one voting strategy is applied by taking advantages of the information of principal direction. The principal direction is also conducive for the successive accurate line segment extraction. The experiments demonstrate that the proposed method shows better locating accuracy and computation efficiency compared with several significant variations of HT.
URI: http://hdl.handle.net/10397/10886
ISSN: 1340-6000
EISSN: 1349-9432
DOI: 10.1007/s10043-015-0033-5
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