ZHOU Zhong-liang, ZHOU Bing, HE Yong-qiang, YING Jia-ju. Dynamic range extension in imaging laser detection system[J]. Journal of Applied Optics, 2011, 32(6): 1238-1244.
Citation: ZHOU Zhong-liang, ZHOU Bing, HE Yong-qiang, YING Jia-ju. Dynamic range extension in imaging laser detection system[J]. Journal of Applied Optics, 2011, 32(6): 1238-1244.

Dynamic range extension in imaging laser detection system

More Information
  • To improve dynamic range in imaging laser detection system (ILDS), a method using image processing to extend the system dynamic range is proposed based on the existing hardware of wide-angle telecentric fisheye lens and complementary metal oxide semiconductor (CMOS) camera device. Frame subtraction technique is often used in ILDS to recognize and locate the laser spot by filtering out background interference and noise. The paper proposes that different methods should be used to expand the dynamic range corresponding to the received laser energy. When the laser energy is low, the laser signal that may be submerged in noise can not be accurately interpreted and precisely located. The technique of fuzzy weighted averaging filtering is used to remove noise and enhance detection sensitivity of the system, namely extension of the detection lower limit. When the incident laser is strong, the imaging surface may be interfered by stray light due to the reflection produced by the fisheye optical system. Spot matching pattern recognition method is presented to remove stray light and enhance the recognition upper limit. The experimental results show that these methods improve the system-s dynamic range from 70 dB to 89 dB.
  • [1]应家驹,王永仲,何永强,等.全向激光告警系统的探测灵敏度分析[J].红外与激光工程. 2008,37(6):1038-1024.
    YING Jia-ju, WANG Yong-zhong, HE Yong- qiang, et al. Analysis of detective sensitivity for omni-directional laser warning system[J]. Infrared and Laser Engineering.2008, 37(6): 1038-1024. (in Chinese with an English abstract)
    [2]TANDRA R,SAHAI A.Fundamental limits on detection in low SNR under noise uncertainty[C].US:IEEE,2005,464-469.
    [3]FOSSUM E R. CMOS image sensors: electronic Camera on-a-chip [J].IEEE Transaction on Electron Devices, 1997, 44(10):1689-1697.
    [4]GAMAL A E, ELTOUKHY H. CMOS image sensors [J]. IEEE Circuit & Devices Magazine, 2005,21(3):6-20.
    [5]田里,姚素英,周津.CMOS图像传感器的自适应降噪方法研究[J].传感技术学报.2008,21(9) : 1561-1565.
    TIAN Li, YAO Su-ying, ZHOU Jin. Research of adaptive noise reduction for CMOS image sensor[J].Chinese Journal of Sensors and Actuators, 2008,21(9):1561-1565. (in Chinese with an English abstract)
    [6]董鸿燕,张焱,沈振康.一种混合噪声的模糊滤波算法[J].系统仿真学报,2009, 21(10): 2832-2835.
    DONG Hong-yan, ZHANG Yan, SHEN Zhen-kang. Fuzzy denoising algorithm for mixed noise[J]. Journal of System Simutation, 2009, 21(10): 2832-2835.(in Chinese with an English abstract)
    [7]LEE Y H, KASSAM S A. Generalized median filtering and related nonlinear filtering techniques [J]. IEEE Trans. Acoust, 1985,33(3):672-683,.
    [8]张恒,雷志辉,丁晓华.一种改进的中值滤波算法[J].中国图象图形学报.2004,9(4):408-411.
    ZHANG Heng, LEI Zhi-hui, DING Xiao-hua. An improved method of median filter[J]. Journal of Image and Graphics,2004, 9(4):408-411. (in Chinese with an English abstract)
    [9]CHOI Y, KRISHNAPURAM R. A robust approach to image enhancement based in fuzzy logic [J]. IEEE Trans on Image Processing,1997,6(6): 808-825.
    [10]SHAN S K, AGGARWAL J K. Intrinsic parameter calibration procedure for a fish-eye lens camera with distortion model and accuracy estimation[J]. Pattern Recognition, 1996,29(11):1775-1778.

Catalog

    Article views (3252) PDF downloads (562) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return