Hyperspectral Imaging of Bruises in the SWIR Spectral Region

被引:18
|
作者
Randeberg, Lise L. [1 ]
Hernandez-Palacios, Julio [1 ,2 ,3 ]
机构
[1] Norwegian Univ Sci & Technol, Trondheim, Norway
[2] Norsk Elektro Opt AS, Lorenskog, Norway
[3] Univ Oslo, Dept Phys, Oslo, Norway
关键词
Hyperspectral imaging; Imaging spectroscopy; Diffuse reflectance; Optical diagnostics; Skin; AGE; DEGRADATION; HEMOGLOBIN; BLOOD;
D O I
10.1117/12.909137
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Optical diagnostics of bruised skin might provide important information for characterization and age determination of such injuries. Hyperspectral imaging is one of the optical techniques that have been employed for bruise characterization. This technique combines high spatial and spectral resolution and makes it possible to study both chromophore signatures and -distributions in an injury. Imaging and spectroscopy in the visible spectral range have resulted in increased knowledge about skin bruises. So far the SWIR region has not been explored for this application. The main objective of the current study was to characterize bruises in the SWIR wavelength range. Hyperspectral images in the SWIR (950-2500nm) and VNIR (400-850nm) spectral range were collected from 3 adult volunteers with bruises of known age. Data were collected over a period of 8 days. The data were analyzed using spectroscopic techniques and statistical image analysis. Preliminary results from the pilot study indicate that SWIR hyperspectral imaging might be an important supplement to imaging in the visible part of the spectrum. The technique emphasizes local edema and gives a possibility to visualize features that cannot easily be seen in the visible part of the spectrum.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Development of a multi-spectral imaging system for the detection of bruises on apples
    Huang, Wenqian
    Zhao, Chunjiang
    Wang, Qingyan
    Li, Jiangbo
    Zhang, Chi
    [J]. SENSING FOR AGRICULTURE AND FOOD QUALITY AND SAFETY V, 2013, 8721
  • [42] Hyperspectral Pansharpening in the Reflective Domain with a Second Panchromatic Channel in the SWIR II Spectral Domain
    Constans, Yohann
    Fabre, Sophie
    Seymour, Michael
    Crombez, Vincent
    Deville, Yannick
    Briottet, Xavier
    [J]. REMOTE SENSING, 2022, 14 (01)
  • [43] Spectral response of microbolometers for hyperspectral imaging
    Honniball, Casey I.
    Wright, Rob
    Lucey, Paul G.
    [J]. INFRARED TECHNOLOGY AND APPLICATIONS XLIII, 2017, 10177
  • [44] Hyperspectral imaging coupled with deep learning model for visualization and detection of early bruises on apples
    Zhang, Chengyu
    Liu, Chaoxian
    Zeng, Shan
    Yang, Weiqiang
    Chen, Yulong
    [J]. JOURNAL OF FOOD COMPOSITION AND ANALYSIS, 2024, 134
  • [45] Near-infrared hyperspectral. reflectance imaging for detection of bruises on pickling cucumbers
    Ariana, Diwan P.
    Lu, Renfu
    Guyer, Daniel E.
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2006, 53 (01) : 60 - 70
  • [46] Median spectral-spatial bad pixel identification and replacement for hyperspectral SWIR sensors
    Fischer, Amber D.
    Downes, T. V.
    Leathers, R.
    [J]. ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XIII, 2007, 6565
  • [47] SPATIAL AND SPECTRAL CALIBRATION METHODS FOR MONOLITHIC VIS/NIR AND VIS/SWIR HYPERSPECTRAL SENSORS
    Stark, M.
    Goldstein, N.
    St Peter, B.
    Tannian, B.
    [J]. 2019 10TH WORKSHOP ON HYPERSPECTRAL IMAGING AND SIGNAL PROCESSING - EVOLUTION IN REMOTE SENSING (WHISPERS), 2019,
  • [48] Classification of Chemical Species for Nuclear Reactor Inspections Using SWIR Hyperspectral Imaging
    Fong, Alexandre
    Shu, George
    Greer, Bruce
    Brummitt, Nicholas
    [J]. ALGORITHMS, TECHNOLOGIES, AND APPLICATIONS FOR MULTISPECTRAL AND HYPERSPECTRAL IMAGING XXVIII, 2022, 12094
  • [49] Multi-spectral SWIR lidar for imaging and spectral discrimination through partial obscurations
    Sivaprakasam, Vasanthi
    Lin, Di
    Yetzbacher, Michael K.
    Gemar, Heath E.
    Portier, Joel M.
    Watnik, Abbie T.
    [J]. OPTICS EXPRESS, 2023, 31 (04): : 5443 - 5457
  • [50] Visual Detection Study on Early Bruises of Korla Pear Based on Hyperspectral Imaging Technology
    Chen Xin-xin
    Guo Chen-tong
    Zhang Chu
    Liu Zi-yi
    Jiang Hao
    Lou Bing-gan
    He Yong
    [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37 (01) : 150 - 155