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http://dx.doi.org/10.9708/jksci.2012.17.7.067

Detection of Pavement Borderline in Natural Scene using Radial Region Split for Visually Impaired Person  

Weon, Sun-Hee (Department of Media, SoongSil University)
Kim, Gye-Young (Department of Computer, SoongSil University)
Na, Hyeon-Suk (Department of Computer, SoongSil University)
Publication Information
Journal of the Korea Society of Computer and Information / v.17, no.7, 2012 , pp. 67-76 More about this Journal
Abstract
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.
Keywords
Adaptive edge detection; Radial region split; Borderline detection; Visually impaired person;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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