DocumentCode :
3402463
Title :
A new approach for road centerlines extraction and width estimation
Author :
Guan, Junzhi ; Wang, Zongyi ; Yao, Xiaochen
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
fYear :
2010
fDate :
24-28 Oct. 2010
Firstpage :
924
Lastpage :
927
Abstract :
Road centerlines detection and the estimation of road widths play an important role in many computer vision applications e.g. road network extraction from satellite images. Canny edge detector has many advantages over other first-order edge detection algorithm. For example, the edge of the line can make the connection degree well, the bandwidth can refine into only one pixel wide. But it can not extract the centerline. The Hough transform is a method for finding lines. In this paper, firstly, Canny transform is used to detect the edge of a line, then two parallel lines are extracted from the edges through progressive probabilistic Hough transform(PPHT). At last the parameter of the road centerline and its width is computed by the proposed new searching scheme. Intensive experiments have shown that the proposed methodology is effective in finding the road centerline and estimating the road width.
Keywords :
Hough transforms; computer vision; edge detection; roads; Canny edge detector; Canny transform; computer vision application; edges extraction; first order edge detection algorithm; parallel lines; probabilistic Hough transform; road centerlines extraction; road network extraction; road widths estimation; satellite images; Estimation; Image edge detection; Pixel; Probabilistic logic; Roads; Satellites; Transforms; canny transform; centerline; progressive probabilistic hough transform; style;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
Type :
conf
DOI :
10.1109/ICOSP.2010.5655728
Filename :
5655728
Link To Document :
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