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Proceedings Paper

Fast Hough transform for automatic bridge extraction
Author(s): Qiwei Hao; Xiaomei Chen; Guoqiang Ni; Huaili Zhang
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Paper Abstract

In this paper, a new method to recognize bridge in the complicated background is presented. The algorithm takes full advantages of the characteristics of the bridge image. Firstly, the image is preprocessed and the object edges are extracted. Then according to the limitations of traditional Hough transform (HT), the extraction method of the image line segment characteristic of HT is improved, which eliminates spurious peaks on the basis of global and local thresholds, discriminates the position relation between two straight line segments, and merges segments with near endpoints, etc. Experiments show that this algorithm is more precise and efficient than traditional HT, moreover it can provide a complete description of the bridge in a complicated background.

Paper Details

Date Published: 28 November 2007
PDF: 10 pages
Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 68330W (28 November 2007); doi: 10.1117/12.756512
Show Author Affiliations
Qiwei Hao, Beijing Institute of Technology (China)
Xiaomei Chen, Beijing Institute of Technology (China)
Guoqiang Ni, Beijing Institute of Technology (China)
Huaili Zhang, Beijing Institute of Technology (China)

Published in SPIE Proceedings Vol. 6833:
Electronic Imaging and Multimedia Technology V
Liwei Zhou; Chung-Sheng Li; Minerva M. Yeung, Editor(s)

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