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Development of algorithms for detection of mechanical injury on white mushrooms (Agaricus bisporus) using hyperspectral imaging

机译:利用高光谱成像技术检测白蘑菇(双孢蘑菇)机械损伤的算法的开发

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摘要

White mushrooms were subjected to mechanical injury by controlled shaking in a plastic box at 400 rpm for different times (0, 60, 120, 300 and 600 s). Immediately after shaking, hyperspectral images were obtained using two pushbroom line-scanning hyperspectral imaging instruments, one operating in the wavelength range of 400 - 1000 nm with spectroscopic resolution of 5 nm, the other operating in the wavelength range of 950 - 1700 nm with spectroscopic resolution of 7 nm. Different spectral and spatial pretreatments were investigated to reduce the effect of sample curvature on hyperspectral data. Algorithms based on Chemometric techniques (Principal Component Analysis and Partial Least Squares Discriminant Analysis) and image processing methods (masking, thresholding, morphological operations) were developed for pixel classification in hyperspectral images. In addition, correlation analysis, spectral angle mapping and scaled difference of sample spectra were investigated and compared with the chemometric approaches.
机译:通过在塑料盒中以400 rpm控制摇动不同时间(0、60、120、300和600 s),使白蘑菇遭受机械伤害。摇动后,立即使用两把推扫式线扫描高光谱成像仪器获得高光谱图像,其中一台在400-1000 nm的波长范围内以5 nm的光谱分辨率运行,另一台在950-1700 nm的波长范围内以光谱操作。分辨率为7 nm。研究了不同的光谱和空间预处理方法,以减少样品曲率对高光谱数据的影响。针对高光谱图像中的像素分类,开发了基于化学计量技术(主成分分析和偏最小二乘判别分析)和图像处理方法(掩模,阈值,形态学运算)的算法。此外,还研究了相关分析,光谱角度映射和样品光谱的比例差,并将其与化学计量学方法进行了比较。

著录项

  • 来源
  • 会议地点 Orlando FL(US)
  • 作者

    A.A. Gowen; C.P. ODonnell;

  • 作者单位

    Biosystems Engineering, School of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland.;

    Biosystems Engineering, School of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland.;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    hyperspectral; mushroom; imaging; PLS-DA; MSC;

    机译:高光谱蘑菇;成像PLS-DA; MSC;

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