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http://dx.doi.org/10.14400/JDPM.2014.12.1.359

A Road Extraction Algorithm using Mean-Shift Segmentation and Connected-Component  

Lee, Tae-Hee (Dept. of Electronics & Communication Engineering, Hanyang University)
Hwang, Bo-Hyun (Dept. of EECI Engineering, Hanyang University)
Yun, Jong-Ho (Dept. of Electrical & Computer Engineering, Hanyang University)
Park, Byoung-Soo (Dept. of Computer System Engineering, Sangmyung University)
Choi, Myung-Ryul (Dept. of Electronics & Communication Engineering, Hanyang University)
Publication Information
Journal of Digital Convergence / v.12, no.1, 2014 , pp. 359-364 More about this Journal
Abstract
In this paper, we propose a method for extracting a road area by using the mean-shift method and connected-component method. Mean-shift method is very effective to divide the color image by the method of non-parametric statistics to find the center mode. Generally, the feature points of road are extracted by using the information located in the middle and bottom of the road image. And it is possible to extract a road region by using this feature-point and the partitioned color image. However, if a road region is extracted with only the color information and the position information of a road image, it is possible to detect not only noise but also off-road regions. This paper proposes the method to determine the road region by eliminating the noise with the closing / opening operation of the morphology, and by extracting only the portion of the largest area using a connected-components method. The proposed method is simulated and verified by applying the captured road images.
Keywords
Mean-Shift Segmentation; Connected-Component; Morphology; Road Extraction; Feature Point;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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