Close range image registration of mult-source image fusion system with a separate optical axis structure

Wang Guiyuan; Chang Benkang; Fu Rongguo; Feng Shu; Sun Bin; Li Yingjie

doi:10.3788/IRLA201645.1104003

In order to solve the problem of close range image registration of mult-source image fusion system with a separate optical axis structure, a registration model of binocular imaging system was established to analyze the impact of the lens center distance on the registration accuracy. The incidence angle difference of object points to different lenses was considered in this model, which determined the registration accuracy. In this way, the relationships of registration accuracy, lens center distance and object distance were analyzed. Finally, considering the angular resolution of detectors and optical axis calibration accuracy, computational formula of the distance range of pixe-level registration of separate optical axis system was given, which could be adjusted for variable close range image registration by the initial angle of two optical axes and the pixel translation of the image. Calculation results indicate that the separate optical axis system can achieve pixe-level registration from a closest distance to infinity, when the optical axes are parallel. If the system is adjusted to register for a closer distance, the registration range will become finite. Smaller lens center distance and higher optical axis calibration accuracy will help to expand the registration range. Finally, with the calculated registration range and the measured target distance, the variable close range image registration of infrared and visible light image fusion system with separate optical axis structure has been achieved.

Close range image registration of mult-source image fusion system with a separate optical axis structure

1. School of Electronic Engineering and Opti-electronic Technology,Nanjing University of Science and Technology,Nanjing 210094,China

Received Date: 2016-03-11

Rev Recd Date: 2016-04-20

Publish Date: 2016-11-25

Key words:

Abstract: In order to solve the problem of close range image registration of mult-source image fusion system with a separate optical axis structure, a registration model of binocular imaging system was established to analyze the impact of the lens center distance on the registration accuracy. The incidence angle difference of object points to different lenses was considered in this model, which determined the registration accuracy. In this way, the relationships of registration accuracy, lens center distance and object distance were analyzed. Finally, considering the angular resolution of detectors and optical axis calibration accuracy, computational formula of the distance range of pixe-level registration of separate optical axis system was given, which could be adjusted for variable close range image registration by the initial angle of two optical axes and the pixel translation of the image. Calculation results indicate that the separate optical axis system can achieve pixe-level registration from a closest distance to infinity, when the optical axes are parallel. If the system is adjusted to register for a closer distance, the registration range will become finite. Smaller lens center distance and higher optical axis calibration accuracy will help to expand the registration range. Finally, with the calculated registration range and the measured target distance, the variable close range image registration of infrared and visible light image fusion system with separate optical axis structure has been achieved.

HTML

Reference (12)

[1]	Zhang Junju, Chang Benkang, Zhang Baohui, et al. Long-distance image fusion system for infrared and LLL/visible bands[J]. Infrared and Laser Engineering, 2012, 41(1):20-24. (in Chinese)张俊举, 常本康, 张宝辉, 等. 远距离红外与微光/可见光融合成像系统[J]. 红外与激光工程, 2012, 41(1):20-24.
[2]	Tong Tao, Yang Guang, Meng Qiangqiang, et al. Multi-sensor image fusion algorithm based on edge feature[J]. Infrared and Laser Engineering, 2013, 42(12):2446-2451. (in Chinese)童涛, 杨桄, 孟强强, 等. 基于边缘特征的多传感器图像融合算法[J]. 红外与激光工程, 2013, 42(12):2446-2451.
[3]	Wang Shaohua, Mei Bingxiao, Ye Ziqiang, et al. Ultraviolet imaging detection technology and application in corona discharge detection of electrical equipment[J]. High Voltage Apparatus, 2011, 47(11):92-96. (in Chinese)王少华, 梅冰笑, 叶自强, 等. 紫外成像检测技术及其在电气设备电晕放电检测中的应用[J]. 高压电器, 2011, 47(11):92-96.
[4]	Niu Yongsheng, Ni Guoqiang. Automated registration for infrared image based on wavelet analysis[J]. Journal of Beijing Institute of Technology, 2000, 9(1):66-72.
[5]	Zeng Qi, Liu Liu, Li Jianxun. Image registration method based on improved Harris corner detector[J]. Chinese Optics Letters, 2010, 8(6):573-576.
[6]	Liu Xiaojun, Yang jie, Sun Jianwei, et al. Image registration approach based on SIFT[J]. Infrared and Laser Engineering, 2008, 37(1):156-160. (in Chinese)刘小军, 杨杰, 孙坚伟, 等. 基于SIFT的图像配准方法[J]. 红外与激光工程, 2008, 37(1):156-160.
[7]	Zhang Bao, Chui Enkun, Hong Yongfeng, et al. Infrared MWIR/LWIR dual-FOV common-path optical system[J]. Optics and Precision Engineering, 2015, 23(2):365-401. (in Chinese)张葆, 崔恩坤, 洪永丰, 等. 红外双波段双视场共光路光学系统[J]. 光学精密工程, 2015, 23(2):365-401.
[8]	Wu Ligang, He Wenrong, Hu Jinsun, et al. Solar blind UV and visible dual-spectral camera[J]. Optics and Precision Engineering, 2010, 18(7):1529-1535. (in Chinese)吴礼刚, 何文荣, 胡晋荪, 等. 日盲紫外-可见光双光谱照相系统[J]. 光学精密工程, 2010, 18(7):1529-1535.
[9]	Tang Tianjin, Li Yan. Dual-band common aperture optical system for infrared camera[J]. Journal of Applied Optics, 2015, 36(4):513-518. (in Chinese)汤天瑾, 李岩. 红外相机共孔径双波段成像光学系统[J]. 应用光学, 2015, 36(4):513-518.
[10]	Sun Bin, Chang Benkang, Zhang Junju, et al. Design of fusion system based on infrared moving target segmentation[J]. Infrared and Laser Engineering, 2015, 44(7):2064-2069. (in Chinese)孙斌, 常本康, 张俊举, 等. 基于红外运动目标分割的夜视融合系统设计[J]. 红外与激光工程, 2015, 44(7):2064-2069.
[11]	Pei Chuang, Jiang Xiaoyu, Zhang Pengwei, et al. A dual-channel fusion system of visual and infrared images based on color transfer[C]//SPIE, 2013, 8907:89074F.
[12]	Ma Shibang, Yang Hong, Yang Zhaojin, et al. Multi-spectral axes parallelism calibration of electro-optical system[J]. Journal of Applied Optics, 2011, 32(5):917-921. (in Chinese)马世帮, 杨红, 杨照金, 等. 光电系统多光轴平行性校准方法的研究[J]. 应用光学, 2011, 32(5):917-921.

Close range image registration of mult-source image fusion system with a separate optical axis structure

doi: 10.3788/IRLA201645.1104003

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Article Metrics

Related

Proportional views