10 February 2017 Fusion method of visible and infrared images based on calibration information and regional energy optimization
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Proceedings Volume 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016); 102500I (2017) https://doi.org/10.1117/12.2266655
Event: Fourth International Conference on Optical and Photonics Engineering, 2016, Chengdu, China
Abstract
By fusing the visible and infrared images to improve the detection and recognition ability of equipments is a focus research. Aiming at the contradictory aspects of the current fusion algorithm for speed and accuracy, a fusion algorithm of visible and infrared images is proposed. Firstly, the visible and infrared imaging systems’ calibration information is obtained by calibrating the system. Secondly, the correspondence between visible image and infrared image pixel is established through constructing mathematical model. Finally, on the basis of Laplace decomposition, the visible and infrared images is fused with regional energy optimization principle. The experimental result shows that the proposed method increases the speed by 22.9%, improving the real-time performance of the fusion algorithms, while remains registration accuracy unchanged.
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Xiang-zheng Cheng, Xiang-zheng Cheng, Ming Shao, Ming Shao, Hong-bo Zhang, Hong-bo Zhang, Wei Zhao, Wei Zhao, Lei Zhang, Lei Zhang, Bing Bai, Bing Bai, } "Fusion method of visible and infrared images based on calibration information and regional energy optimization", Proc. SPIE 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016), 102500I (10 February 2017); doi: 10.1117/12.2266655; https://doi.org/10.1117/12.2266655
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