Automatic road extraction based on improved Radon transform

Qiwei Hao; Xiaomei Chen; Guoqiang Ni; Yi Tang

doi:10.1117/12.811963

28 January 2009 Automatic road extraction based on improved Radon transform

Qiwei Hao, Xiaomei Chen, Guoqiang Ni, Yi Tang

Proceedings Volume 7156, 2008 International Conference on Optical Instruments and Technology: Optical Systems and Optoelectronic Instruments; 715636 (2009) https://doi.org/10.1117/12.811963
Event: International Conference of Optical Instrument and Technology, 2008, Beijing, China

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.

Citation Download Citation

Qiwei Hao, Xiaomei Chen, Guoqiang Ni, and Yi Tang "Automatic road extraction based on improved Radon transform", Proc. SPIE 7156, 2008 International Conference on Optical Instruments and Technology: Optical Systems and Optoelectronic Instruments, 715636 (28 January 2009); https://doi.org/10.1117/12.811963

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KEYWORDS

Roads

Image segmentation

Radon transform

Remote sensing

Detection and tracking algorithms

Radon

Edge detection

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