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26 October 2013 Bridge recognition based on Gabor filter in forward-looking infrared images
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Proceedings Volume 8918, MIPPR 2013: Automatic Target Recognition and Navigation; 891803 (2013)
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
Conventional methods often assume that water region is homogeneous and bridge is brighter than background. They usually recognize target by parallel lines detection. But grayscale of bridge has bipolar problem in FLIR images due to interference of complex background and constraints of imaging conditions, which means that it can be greater or lower than river. Furthermore, water is not a homogeneous area as a whole because of the interference of water clutter and shoals. This paper proposes a novel algorithm of bridge recognition based on Gabor filter. Firstly, we obtain target ROI by extracting the horizontal line. And then ROI sub-images are enhanced by Gabor filter and target polarity is determined by bridge body detection. Finally, bridge recognition can be achieved by pier detection according to the target polarity and location of bridge body. Experimental results of nearly 3000 frames show that the proposed algorithm can effectively overcome problems such as bipolar target and low image contrast. It offers a good practicability and accuracy in bridge recognition in FLIR images.
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Songlin Liu, Gang Sun, Zhaodong Niu, and Zengping Chen "Bridge recognition based on Gabor filter in forward-looking infrared images", Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 891803 (26 October 2013);

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