• 中国科技核心期刊
  • JST收录期刊

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于Mueller矩阵的水下偏振成像方法

韩平丽 范颖颖 杨波 刘飞 邵晓鹏

韩平丽, 范颖颖, 杨波, 等. 基于Mueller矩阵的水下偏振成像方法[J]. 水下无人系统学报, 2023, 31(4): 624-632 doi: 10.11993/j.issn.2096-3920.2023-0080
引用本文: 韩平丽, 范颖颖, 杨波, 等. 基于Mueller矩阵的水下偏振成像方法[J]. 水下无人系统学报, 2023, 31(4): 624-632 doi: 10.11993/j.issn.2096-3920.2023-0080
HAN Pingli, FAN Yingying, YANG Bo, LIU Fei, SHAO Xiaopeng. Underwater Polarization Imaging Based on Mueller Matrix[J]. Journal of Unmanned Undersea Systems, 2023, 31(4): 624-632. doi: 10.11993/j.issn.2096-3920.2023-0080
Citation: HAN Pingli, FAN Yingying, YANG Bo, LIU Fei, SHAO Xiaopeng. Underwater Polarization Imaging Based on Mueller Matrix[J]. Journal of Unmanned Undersea Systems, 2023, 31(4): 624-632. doi: 10.11993/j.issn.2096-3920.2023-0080

基于Mueller矩阵的水下偏振成像方法

doi: 10.11993/j.issn.2096-3920.2023-0080
基金项目: 国家自然科学基金青年项目(62005203); 国家自然科学基金面上项目(62075175); 中央高校基本科研业务费专项资金资助(ZYTS23125); 中国科学院西安光学精密机械研究所光电跟踪与测量技术实验室开放基金(B022050002)
详细信息
    作者简介:

    韩平丽(1990-), 女, 博士, 讲师, 主要研究方向为偏振成像技术

    通讯作者:

    刘 飞(1986-), 男, 博士, 教授, 主要研究方向为计算成像技术

  • 中图分类号: TJ63; U674

Underwater Polarization Imaging Based on Mueller Matrix

  • 摘要: 水下偏振成像技术利用目标信息光与背景散射光的偏振特性差异实现清晰成像, 在水下目标探测和识别等领域有重要价值。但多材质目标表面反射情况和退偏效应存在差异, 无法有效提取上述偏振特性差异。针对这一问题, 文中提出一种基于Mueller矩阵的水下偏振成像方法。利用Mueller矩阵探测水下场景中的光强信息以及目标物与水体的偏振信息, 精确求解浑浊场景中目标物与背景散射光的偏振度信息, 结合传统水下成像技术构建基于Mueller矩阵的水下偏振成像方法, 有效分离目标信息光与背景散射光, 提升成像质量, 实现水下多材质目标物的清晰重建。

     

  • 图  1  水下偏振散射成像模型

    Figure  1.  Underwater polarization scattering imaging model

    图  2  多材质目标传统水下偏振成像

    Figure  2.  Traditional underwater polarization imaging of object made of diverse materials

    图  3  反射式双旋波片法原理图

    Figure  3.  Principle of reflection-based double rotating wave plate method

    图  4  透射式双旋波片法原理图

    Figure  4.  Principle of transmission-based double rotating wave plate method

    图  5  反射式双旋波片测量装置

    Figure  5.  Measuring device of reflection-based double rotating wave plate

    图  6  透射式双旋波片测量装置

    Figure  6.  Measuring device of transmission-based double rotating wave plate

    图  7  浑浊度17.4 NTU水体中目标物偏振度强度分布

    Figure  7.  Degree of polarization distribution of target in water with 17.4 NTU turbidity

    图  8  不同浑浊度水体中的目标偏振图

    Figure  8.  Degree of polarization distribution of target in water with different turbidity

    图  9  目标偏振度随浑浊度变化情况

    Figure  9.  Variation of degree of polarization of target with turbidity

    图  10  浑浊场景背景散射光偏振度图

    Figure  10.  Degree of polarization of background scattered light in turbid water

    图  11  特征点背景散射光偏振度随浑浊度变化情况

    Figure  11.  Variation of degree of polarization of feature points from background scattered light with turbidity

    图  12  文中方法实验结果

    Figure  12.  Experimental results of the developed method

    图  13  浑浊度40.2 NTU水体中光强图像与文中重建结果对比

    Figure  13.  Comparison of intensity image and reconstructed image by the proposed method in water with 40.2 NTU turbidity

    图  14  传统水下偏振成像方法与文中方法对比

    Figure  14.  Comparison of traditional underwater polarization imaging methods with the proposed method

  • [1] Rowe M P, Pugh E N, Tyo J S, et al. Polarization-difference imaging: A biologically inspired technique for observation through scattering media[J]. Opt Lett, 1995, 20(6): 608-610. doi: 10.1364/OL.20.000608
    [2] Shen J, Wang H, Chen Z, et al. Polarization calculation and underwater target detection inspired by biological visual imaging[J]. Sensors and Transducers, 2014, 169(4): 33-41.
    [3] Schechner Y Y, Narasimhan S G, Nayar S K. Polarization-based vision through haze[J]. Applied Optics, 2003, 42(3): 511-525. doi: 10.1364/AO.42.000511
    [4] Schechner Y Y, Karpel N. Clear underwater vision[C]//IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington: IEEE, 2004.
    [5] Treibitz T, Schechner Y Y. Active polarization descattering[J]. IEEE transactions on pattern analysis and machine intelligence, 2009, 31(3): 385-399. doi: 10.1109/TPAMI.2008.85
    [6] Huang B, Liu T, Hu H, et al. Underwater image recovery considering polarization effects of objects[J]. Optics Express, 2016, 24(9): 9826-9838. doi: 10.1364/OE.24.009826
    [7] Han P, Liu F, Yang K, et al. Active underwater descattering and image recovery[J]. Applied Optics, 2017, 56(23): 6631-6638. doi: 10.1364/AO.56.006631
    [8] Liu F, Han P, Wei Y, et al. Deeply seeing through highly turbid water by active polarization imaging[J]. Optics Letters, 2018, 43(20): 4903-4906. doi: 10.1364/OL.43.004903
    [9] Hu H, Zhang Y, Li X, et al. Polarimetric underwater image recovery via deep learning[J]. Optics and lasers in engineering, 2020, 133: 106152. doi: 10.1016/j.optlaseng.2020.106152
    [10] Wei Y, Han P, Liu F, et al. Enhancement of underwater vision by fully exploiting the polarization information from the Stokes vector[J]. Optics Express, 2021, 29(14): 22275-22287. doi: 10.1364/OE.433072
    [11] Liu F, Zhang S, Han P, et al. Depolarization index from Mueller matrix descatters imaging in turbid water[J]. Chinese Optics Letters, 2022, 20(2): 1-6.
    [12] Hielscher A H, Eick A A, Mourant J R, et al. Diffuse backscattering Mueller matrices of highly scattering media[J]. Opt Express, 1997, 1: 441-453. doi: 10.1364/OE.1.000441
    [13] Bass M, Decusatis C, Enoch J, et al. Handbook of optics[M]. New York: McGraw-Hill Education, 2009.
    [14] Piederrière Y, Boulvert F, Cariou J, et al. Backscattered speckle size as a function of polarization: influence of particle-size and -concentration[J]. Optics Express, 2005, 13(13): 5030-5039. doi: 10.1364/OPEX.13.005030
    [15] Jerlov N G. Marine Optics[M]. New York: Elsevier Science Ltd, 1976.
    [16] Zhu J P, Wang K, Liu H, et al. Modified model of polarized bidirectional reflectance distribution function for metallic surfaces[J]. Optics & Laser Technology, 2018, 99: 160-166.
    [17] Kumar H, Ramkumar J, Venkatesh K S. Surface texture evaluation using 3D reconstruction from images by parametric anisotropic BRDF[J]. Measurement, 2018, 125: 612-633.
  • 加载中
图(14)
计量
  • 文章访问数:  81
  • HTML全文浏览量:  14
  • PDF下载量:  21
  • 被引次数: 0
出版历程
  • 收稿日期:  2023-07-03
  • 修回日期:  2023-07-20
  • 网络出版日期:  2023-08-01

目录

    /

    返回文章
    返回
    服务号
    订阅号