Laser & Optoelectronics Progress, Volume. 57, Issue 14, 141017(2020)

Detection of Damage on the Surface of Korla Fragrant Pear Using Hyperspectral Images

Yiming Fang1, Fan Yang2, and Xiaoqin Li1、*
Author Affiliations
  • 1Key Laboratory of Modern Agricultural Engineering, Tarim University, Alaer, Xinjiang 843300, China
  • 2Zhejiang Provincial Key Laboratory of Forestry Intelligent Monitoring and Information Technology, Zhejiang A & F University, Hangzhou, Zhejiang 311300, China;
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    Figures & Tables(8)
    Schematic of hyperspectral imaging device
    Collected hyperspectral images of typical Korla pear samples at different wavelengths. (a) 400 nm; (b) 494 nm; (c) 587 nm; (d) 681 nm; (e) 774 nm; (f) 868 nm
    Spectra of Korla pear surfaces and background areas. (a) Spectra; (b) average value and variance of spectral curves
    Hyperspectral images and their histogram plots at three wavelengths. (a) 433 nm; (b) 631 nm; (c) 863 nm
    Results of OTSU threshold segmentation and morphological analysis for hyperspectral images at three wavelengths. (a) 433 nm; (b) 631 nm; (c) 863 nm
    The first six primary component images obtained by PCA. (a) PC 1; (b) PC 2; (c) PC 3; (d) PC 4; (e) PC 5; (f) PC 6
    Results of the ratio enhancement and image segmentation. (a) Result of ratio enhancement; (b) result of threshold segmentation; (c) result of morphological calculation
    • Table 1. Detection results of surface damage of fragrant pear using hyperspectral images

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      Table 1. Detection results of surface damage of fragrant pear using hyperspectral images

      Type ofsampleNumber ofsamplesDetection result
      IntactDamaged
      Intact sample40355
      Damaged sample40040
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    Yiming Fang, Fan Yang, Xiaoqin Li. Detection of Damage on the Surface of Korla Fragrant Pear Using Hyperspectral Images[J]. Laser & Optoelectronics Progress, 2020, 57(14): 141017

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    Paper Information

    Category: Image Processing

    Received: Nov. 2, 2019

    Accepted: Dec. 11, 2019

    Published Online: Jul. 28, 2020

    The Author Email: Xiaoqin Li (xiaoqinli2009bs@163.com)

    DOI:10.3788/LOP57.141017

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