Paper
28 November 2007 Fast Hough transform for automatic bridge extraction
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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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qiwei Hao, Xiaomei Chen, Guoqiang Ni, and Huaili Zhang "Fast Hough transform for automatic bridge extraction", Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 68330W (28 November 2007); https://doi.org/10.1117/12.756512
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KEYWORDS
Bridges

Image segmentation

Hough transforms

Detection and tracking algorithms

Image processing algorithms and systems

Target recognition

Remote sensing

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