Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.cviu.2011.03.010
Title: Robust line detection using two-orthogonal direction image scanning
Authors: Yang, K. 
Sam Ge, S. 
He, H.
Keywords: Hough transformation
Image scanning
Line segment extraction
Robust
TODIS
Issue Date: Aug-2011
Source: Yang, K., Sam Ge, S., He, H. (2011-08). Robust line detection using two-orthogonal direction image scanning. Computer Vision and Image Understanding 115 (8) : 1207-1222. ScholarBank@NUS Repository. https://doi.org/10.1016/j.cviu.2011.03.010
Abstract: we propose a detector using two-orthogonal direction image scanning (TODIS) with the capability of multi-scale detection by utilizing the prior knowledge of lines. The two step scanning procedures and the prominence filter are designed to impose the geometric constrains on pixel edges for the purpose of providing prior assessment on the structure of line segments. In addition, through dividing the original problem into smaller subproblems, the computational load has been reduced, and there is no extra storage cost for the detector's adaptiveness on the slope resolution of lines during detection. The simulation results shows significant improved detection accuracy as compared to the popular methods. © 2011 Elsevier Inc. All rights reserved.
Source Title: Computer Vision and Image Understanding
URI: http://scholarbank.nus.edu.sg/handle/10635/57301
ISSN: 10773142
DOI: 10.1016/j.cviu.2011.03.010
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