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Proceedings Paper

Automatic road extraction based on improved Radon transform
Author(s): Qiwei Hao; Xiaomei Chen; Guoqiang Ni; Yi Tang
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Paper Abstract

In this paper, a new method is proposed for road extraction in complex environments. The algorithm takes full advantages of the road image characteristics. Firstly, the image is preprocessed and the object edges are extracted. Then, by dividing the image into many blocks (such as m×m), an improved Radon transform (RT) is performed to extract the line segments in images. We do Radon transformation for each block. To reduce the computing time, a threshold is set and images are resumed along the ribbon region of transformation domain. Experiments show that the presented method can extract roads even in complex environments, and moreover, it can provide a complete description of the road.

Paper Details

Date Published: 28 January 2009
PDF: 9 pages
Proc. SPIE 7156, 2008 International Conference on Optical Instruments and Technology: Optical Systems and Optoelectronic Instruments, 715636 (28 January 2009); doi: 10.1117/12.811963
Show Author Affiliations
Qiwei Hao, Beijing Institute of Technology (China)
Xiaomei Chen, Beijing Institute of Technology (China)
Guoqiang Ni, Beijing Institute of Technology (China)
Yi Tang, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 7156:
2008 International Conference on Optical Instruments and Technology: Optical Systems and Optoelectronic Instruments
Yunlong Sheng; Yongtian Wang; Lijiang Zeng, Editor(s)

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