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1.北京理工大学 光电学院 光电成像技术与系统教育部重点实验室,北京 100081
2.北京机电工程研究所,北京 100074
[ "刘志豪(1996-),男,湖北潜江人,博士研究生,2017年于北京理工大学获得学士学位,主要从事多波段红外成像技术及相关算法的研究。E-mail: 840064852@qq.com" ]
[ "金伟其(1961-),男,上海人,教授,博士生导师,光电成像技术与系统教育部重点实验室主任,1982年于北京工业学院获得学士学位,1990年于北京理工大学获得博士学位,主要从事夜视与红外技术、光电图像处理、光电检测与仪器方面的研究。E-mail:jinwq@bit.edu.cn" ]
收稿日期:2021-08-27,
修回日期:2021-10-15,
纸质出版日期:2022-01-15
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刘志豪,金伟其,李力等.四波段共光轴成像实验平台及其图像融合[J].光学精密工程,2022,30(01):1-11.
LIU Zhihao,JIN Weiqi,LI Li,et al.Four-band coaxial imaging experimental platform and its image fusion methods[J].Optics and Precision Engineering,2022,30(01):1-11.
刘志豪,金伟其,李力等.四波段共光轴成像实验平台及其图像融合[J].光学精密工程,2022,30(01):1-11. DOI: 10.37188/OPE.20223001.0001.
LIU Zhihao,JIN Weiqi,LI Li,et al.Four-band coaxial imaging experimental platform and its image fusion methods[J].Optics and Precision Engineering,2022,30(01):1-11. DOI: 10.37188/OPE.20223001.0001.
为获取以及充分利用场景的多波段信息,同时为多波段图像算法研究奠定基础,基于非制冷红外焦平面阵列,研制了共光轴分束的可见光+近红外、短波红外、中波红外和长波红外四波段光电成像实验平台。给出了基于四波段光电成像实验平台的图像处理案例,使用现场可编程门阵列完成各路图像的预处理与多波段图像融合。预处理过程主要包括可见光机芯盲元校正以及基于梯度域滤波的中、长波红外机芯的低频非均匀性校正,从而优化各波段的图像质量。双波段和四波段图像融合采用色彩传递的方式对YUV颜色空间中线性组合融合的图像进行色彩增强,得到更佳的自然感彩色融合图像的同时保证了算法的运行效率。使用中、长波红外进行双波段红外测温,室内黑体实验表明,在20~80 ℃内双波段测温的准确度明显高于单波段测温,双波段测温误差小于3.5%,单点温度波动幅度小于0.7%。外场实验结果表明,信息融合图像能有效增强人眼对场景信息的理解。四波段光电成像实验平台能够获得场景的四波段信息,经过图像融合与双波段测温加强了对场景信息的理解。
To obtain and make full use of the multi-spectrum information of the scene, and to lay the foundation for the research of multi-band image algorithms, a four-band coaxial imaging experimental platform of visible light + near infrared, short wave infrared, mid-wave infrared and long-wave infrared was developed based on uncooled infrared focal plane array (IRFPA). Image processing cases based on the four-band imaging experimental platform were presented. FPGA was used in the preprocessing of each channel of image and the fusion of multi-band image. The image quality of each band was optimized by the preprocessing procedure, that included the blind point correction of the visible sensor and nonuniformity correction of the mid-wave and long-wave infrared sensors based on grad-filtering. Dual-band and four-band image fusion enhanced the color of the fusion image obtained by linear combination in the YUV color space by color transfer, thus resulting in a natural color fusion image as well as ensuring the operating efficiency of the algorithm. Dual-band infrared temperature measurement was performed using medium and long-wave infrared. The blackbody experiment shows that in the temperature range of 20-80 ℃, the accuracy of dual-band temperature measurement is significantly higher than that of single-band temperature measurement, the error of dual-band temperature measurement is less than 3.5%, and the single-point temperature fluctuation range is less than 0.7%. The outfield experiment results show that information fusion images can effectively enhance the human eye’s understanding of scene information. The four-band imaging experimental platform can easily obtain the four-band information of the scene, and image fusion and dual-band temperature measurement can strengthen the understanding of scene information.
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