Abstract
Aiming at solve the problem that it is difficult to match the infrared and visible image of aircraft surface in the same scene, an improved registration algorithm is proposed. It is aiming to obtain more complementary information of residual ice. Firstly, the infrared image enhanced by the image enhancement algorithm based on fuzzy logic, so that the details and the contour become more clear. It also effectively reduces the number of feature points to be extracted. Secondly, in order to solve the problem of high mismatch rate of speeded up robust features (SURF) algorithm, the constraint condition of slope consistency has been used to eliminate the number of mismatch points. Finally, the RANSAC algorithm is used to further improve the matching speed and accuracy. Experimental results show that the proposed method has better rapidity and accuracy.
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Acknowledgements
This work was supported in part by the Open Fund of Tianjin Key Lab for Advanced Signal Processing under Grant 2017 ASP-TJ02, the National Natural Science Foundation of China under Grant 61405246, and CAUC Fund under Grant 3122017005.
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Ding, N., Zhuge, J., Xing, S., Wang, Y. (2020). An Improved Image Registration Method for Infrared and Visible Images. In: Wang, R., Chen, Z., Zhang, W., Zhu, Q. (eds) Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019). Lecture Notes in Electrical Engineering, vol 582. Springer, Singapore. https://doi.org/10.1007/978-981-15-0474-7_1
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DOI: https://doi.org/10.1007/978-981-15-0474-7_1
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