Recognition of bridges over water in infrared image based on fractal theory and background knowledge mining

Xiao Ke Yan*, Cai Cheng Shi, Bao Jun Zhao, Pei Kun He

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

To recognize a large bridge over water under complicated background in long rang aerial photography infrared images, a novel three-step strategy based on fractal theory and background knowledge mining is presented. First, all regions in accord with the contextual description of the infrared images about bridges over water and regions of interest (ROI) around the pixel 8-neighbors are detected based on fractal dimension and histogram active threshold, at the same time latent bridge targets are segmented. Then, image is performed over all sub images with morphological filters. Finally, the bridge target is recognized based on the characters matching. Experiments on the image tracker based on TMS320C6416 are conducted, and the results demonstrate that the approach performs well in automatic recognition accuracy and computational efficiency.

源语言英语
页(从-至)1031-1033+1081
期刊Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
29
7
出版状态已出版 - 7月 2007

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