29 August 2016 A fusion algorithm of template matching based on infrared simulation image
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Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 1003307 (2016) https://doi.org/10.1117/12.2245095
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China
Abstract
Template matching algorithm is one of the important image-based Automatic Target Recognition methods. Traditional normalized cross correlation (NCC) algorithm used in infrared image matching has a strong antinoise performance but low computing speed. Meanwhile, although sequential similarity detection algorithm (SSDA) performs a shorter time than NCC, it has lower accuracy. In order to solve the low target recognition rate and slow speed of infrared image recognition problems, a new matching algorithm based on infrared image is presented, which integrates the advantages of two methods. The fusion algorithm improves the matching speed and reduces the probability of matching error. The experimental results confirm that the proposed approach has higher efficiency and accuracy in infrared image matching than original algorithms. Comparing with NCC and SSDA, it shortens large recognition time and enhances the right matching ratio respectively. In addition, the improved algorithm is real-time and robust against noise. It is significant to the research and development of automatic target recognition technology for different kinds of real-time detection system.
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Ruiheng Zhang, Ruiheng Zhang, Chengpo Mu, Chengpo Mu, Xiang Gao, Xiang Gao, Kai Liu, Kai Liu, Yingcun Ma, Yingcun Ma, } "A fusion algorithm of template matching based on infrared simulation image", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003307 (29 August 2016); doi: 10.1117/12.2245095; https://doi.org/10.1117/12.2245095
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