@article{ART001683587},
author={원선희 and Gye-young Kim and Hyeon-Suk Na},
title={Detection of Pavement Borderline in Natural Scene using Radial Region Split for Visually Impaired Person},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2012},
volume={17},
number={7},
pages={67-76},
doi={}
TY - JOUR
AU - 원선희
AU - Gye-young Kim
AU - Hyeon-Suk Na
TI - Detection of Pavement Borderline in Natural Scene using Radial Region Split for Visually Impaired Person
JO - Journal of The Korea Society of Computer and Information
PY - 2012
VL - 17
IS - 7
PB - The Korean Society Of Computer And Information
SP - 67
EP - 76
SN - 1598-849X
AB - This paper proposes an efficient method that helps a visually impaired person to detect a pavement borderline. A pedestrian is equipped with a camera so that the front view of a natural scene is captured. Our approach analyzes the captured image and detects the borderline of a pavement in a very robust manner. Our approach performs the task in two steps. In a first step, our approach detects a vanishing point and vanishing lines by applying an edge operator. The edge operator is designed to take a threshold value adaptively so that it can handle a dynamic environment robustly. The second step is to determine the borderlines of a pavement based on vanishing lines detected in the first step. It analyzes the vanishing lines to form VRays that confines the pavement only. The VRays segments out the pavement region in a radial manner. We compared our approach against Canny edge detector. Experimental results show that our approach detects borderlines of a pavement very accurately in various situations.
KW - Adaptive edge detection;Radial region split;Borderline detection;Visually impaired person
DO -
ER -
원선희, Gye-young Kim and Hyeon-Suk Na. (2012). Detection of Pavement Borderline in Natural Scene using Radial Region Split for Visually Impaired Person. Journal of The Korea Society of Computer and Information, 17(7), 67-76.
원선희, Gye-young Kim and Hyeon-Suk Na. 2012, "Detection of Pavement Borderline in Natural Scene using Radial Region Split for Visually Impaired Person", Journal of The Korea Society of Computer and Information, vol.17, no.7 pp.67-76. Available from: doi:
원선희, Gye-young Kim, Hyeon-Suk Na "Detection of Pavement Borderline in Natural Scene using Radial Region Split for Visually Impaired Person" Journal of The Korea Society of Computer and Information 17.7 pp.67-76 (2012) : 67.
원선희, Gye-young Kim, Hyeon-Suk Na. Detection of Pavement Borderline in Natural Scene using Radial Region Split for Visually Impaired Person. 2012; 17(7), 67-76. Available from: doi:
원선희, Gye-young Kim and Hyeon-Suk Na. "Detection of Pavement Borderline in Natural Scene using Radial Region Split for Visually Impaired Person" Journal of The Korea Society of Computer and Information 17, no.7 (2012) : 67-76.doi:
원선희; Gye-young Kim; Hyeon-Suk Na. Detection of Pavement Borderline in Natural Scene using Radial Region Split for Visually Impaired Person. Journal of The Korea Society of Computer and Information, 17(7), 67-76. doi:
원선희; Gye-young Kim; Hyeon-Suk Na. Detection of Pavement Borderline in Natural Scene using Radial Region Split for Visually Impaired Person. Journal of The Korea Society of Computer and Information. 2012; 17(7) 67-76. doi:
원선희, Gye-young Kim, Hyeon-Suk Na. Detection of Pavement Borderline in Natural Scene using Radial Region Split for Visually Impaired Person. 2012; 17(7), 67-76. Available from: doi:
원선희, Gye-young Kim and Hyeon-Suk Na. "Detection of Pavement Borderline in Natural Scene using Radial Region Split for Visually Impaired Person" Journal of The Korea Society of Computer and Information 17, no.7 (2012) : 67-76.doi: