Volume 46 Issue 12
Jan.  2018
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Geng Lei, Ma Xiao, Xiao Zhitao, Zhang Fang, Rong Feng, Peng Xiaoshuai. Calibration and filtering of X-ray line array detector[J]. Infrared and Laser Engineering, 2017, 46(12): 1226001-1226001(8). doi: 10.3788/IRLA201746.1226001
Citation: Geng Lei, Ma Xiao, Xiao Zhitao, Zhang Fang, Rong Feng, Peng Xiaoshuai. Calibration and filtering of X-ray line array detector[J]. Infrared and Laser Engineering, 2017, 46(12): 1226001-1226001(8). doi: 10.3788/IRLA201746.1226001

Calibration and filtering of X-ray line array detector

doi: 10.3788/IRLA201746.1226001
  • Received Date: 2017-04-13
  • Rev Recd Date: 2017-05-20
  • Publish Date: 2017-12-25
  • To overcome the problems of X-ray image's vertical stripes caused by uneven response of X-ray linear detector's pixels and the noise interference produced by detector and outside, a new calibration and filtering model was proposed. It solved the problem that traditional calibration result was very volatile with ignoring noise. By combining X-ray's features and X-ray linear array detector's imaging principle, the output characteristic and noise were analyzed when the pixel responded unevenly. Besides, the calibration and filtering model was built. Improved-two-point calibration algorithm was used to calibrate the image and semi implicit difference method based on partial differential equation was used to smooth the noise. Experiment results show that the unevenly response of X-ray linear array detector with a resolution of 19 216 was eliminated, and the influence of noise was suppressed. In the case of 16 bit per pixel,the mean square error was below five gray level, it improves the quality of X-ray image detection.
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    [2] Liu Lifeng, Xiao Shali, Qian Jiayu. A spherically bent crystal analyzer for X-ray backlighting imaging diagnosis[J]. Journal of Optoelectronics Laser, 2015, 26(3):439-443. (in Chinese)刘利锋, 肖沙里, 钱家渝. X射线背光成像诊断的球面晶体分析器研究[J]. 光电子激光, 2015, 26(3):439-443.
    [3] Xiu Jinli, Jin Weiqi, Liu Chongliang, et al. Three-point infrared radiometric calibration and correction method using U-shaped blackbody[J]. Infrared and Laser Engineering, 2013, 42(9):2313-2318. (in Chinese)修金利, 金伟其, 刘崇亮, 等. 应用U形边框黑体光阑的三点辐射定标校正方法及其分析[J]. 红外与激光工程, 2013, 42(9):2313-2318.
    [4] Rong Feng, Miao Changyun, Xu Wei. High-speed X-ray linear array detector noise analysis and filtering method[J]. Opto-Electronic Engineering, 2013, 40(8):64-72. (in Chinese)荣锋, 苗长云, 徐伟. 高速X射线线阵探测器噪声分析与滤波方法[J]. 光电工程, 2013, 40(8):64-72.
    [5] Xiao Zhitao, Yuan Quan, Zhang Fang, et al. The oriented partial differential equation based on the discontinuities measure for electronic speckle pattern interferometry[J]. Journal of Electronics Information Technology, 2014, 36(11):2600-2606. (in Chinese)肖志涛, 袁泉, 张芳, 等. 结合非连续性测度的方向偏微分方程在电子散斑干涉中的应用[J]. 电子与信息学报, 2014, 36(11):2600-2606.
    [6] Yi Longtao, Sun Tianxi, Wang Kai, et al. Design of an X-ray detecting system based on square polycapillary X-ray lens[J]. Infrared and Laser Engineering, 2016, 45(S1):S117001. (in Chinese)易龙涛, 孙天希, 王锴, 等. 一种基于方形多毛细管透镜的X射线探测系统设计[J]. 红外与激光工程, 2016, 45(S1):S117001.
    [7] Yang Min, Chen Hao, Meng Fanyong, et al. Novel correction method for X-ray beam energy fluctuation of high energy DR system with a linear detector[J]. Chinese Physics C, 2011, 35(11):1074-1078.
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Calibration and filtering of X-ray line array detector

doi: 10.3788/IRLA201746.1226001
  • 1. Tianjin Key Laboratory of Optoelectronic Detection Technology and System,Tianjin 300387,China;
  • 2. School of Electronics and Information Engineering,Tianjin Polytechnic University,Tianjin 300387,China

Abstract: To overcome the problems of X-ray image's vertical stripes caused by uneven response of X-ray linear detector's pixels and the noise interference produced by detector and outside, a new calibration and filtering model was proposed. It solved the problem that traditional calibration result was very volatile with ignoring noise. By combining X-ray's features and X-ray linear array detector's imaging principle, the output characteristic and noise were analyzed when the pixel responded unevenly. Besides, the calibration and filtering model was built. Improved-two-point calibration algorithm was used to calibrate the image and semi implicit difference method based on partial differential equation was used to smooth the noise. Experiment results show that the unevenly response of X-ray linear array detector with a resolution of 19 216 was eliminated, and the influence of noise was suppressed. In the case of 16 bit per pixel,the mean square error was below five gray level, it improves the quality of X-ray image detection.

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