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http://dx.doi.org/10.9708/jksci.2014.19.2.031

Navigational Path Detection Using Fuzzy Binarization and Hough Transform  

Woo, Young Woon (Dept. of Multimedia Engineering, Dong-Eui University)
Publication Information
Journal of the Korea Society of Computer and Information / v.19, no.2, 2014 , pp. 31-37 More about this Journal
Abstract
In conventional methods for car navigational path detection using Hough transform, navigational path deviation of a car is decided in car navigational images with simple background. But in case of car navigational images having complex background with obstacles on the road, shadows, other cars, and so on, it is very difficult to detect navigational path because these obstacles obstruct correct detection of car navigational path. In this paper, I proposed an effective navigational path detection method having better performance than conventional navigational path detection methods using Hough transform only, and fuzzy binarization method and Canny mask are applied in the proposed method for the better performance. In order to evaluate the performance of the proposed method, I experimented with 20 car navigational images and verified the proposed method is more effective for detection of navigational path.
Keywords
Navigational path detection; Fuzzy binarization; Hough transform;
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Times Cited By KSCI : 3  (Citation Analysis)
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