Algorithm selective method of infrared/visual image fusion system based on air humidity

Bin Sun; Junju Zhang; Benkang Chang; Chaobo Min; Yingjie Li

doi:10.1117/12.2054556

21 February 2014 Algorithm selective method of infrared/visual image fusion system based on air humidity

Bin Sun, Junju Zhang, Benkang Chang, Chaobo Min, Yingjie Li

Proceedings Volume 9142, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics: Optical Imaging, Remote Sensing, and Laser-Matter Interaction 2013; 91420V (2014) https://doi.org/10.1117/12.2054556
Event: Selected Proceedings of the Photoelectronic Technology Committee Conferences held July-December 2013, 2013, SuZhou, China

Abstract

To find out the best infrared and visible fusion system of fusion algorithm which has excellent target detection characteristics in different environment, we proposed a new fusion algorithm selective rule. We also defined new concepts: fusion algorithm coefficient and the equivalent transmissivity of system. Using local-target contrast, local-target articulation to calculate fusion algorithm coefficient, we can estimate the target detection performance of fusion system when it working in different air humidity environment. Also, we make use of infrared and visible fusion system designed by ourselves to verify this method. Besides fusion algorithm coefficient, we also use subjective evaluation to evaluate the target detection performance of fusion algorithm. At last, the best algorithm or the method which is most consistent with human visual in different conditions were found. Through this work, we can provide the basis for the algorithm of choice in the fusion system.

Citation Download Citation

Bin Sun, Junju Zhang, Benkang Chang, Chaobo Min, and Yingjie Li "Algorithm selective method of infrared/visual image fusion system based on air humidity", Proc. SPIE 9142, Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics: Optical Imaging, Remote Sensing, and Laser-Matter Interaction 2013, 91420V (21 February 2014); https://doi.org/10.1117/12.2054556

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