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基于空间频域成像的果蔬皮下隐性损伤可视化检测

黄璇 周童童 孙志忠 杨自栋 孙通 胡栋

中国食品学报2023,Vol.23Issue(12):229-237,9.
中国食品学报2023,Vol.23Issue(12):229-237,9.DOI:10.16429/j.1009-7848.2023.12.024

基于空间频域成像的果蔬皮下隐性损伤可视化检测

Visual Detection of Subsurface Bruising in Fruits and Vegetables Based on Spatial-Frequency Domain Imaging

黄璇 1周童童 1孙志忠 1杨自栋 1孙通 1胡栋1

作者信息

  • 1. 浙江农林大学光机电工程学院 杭州 311300
  • 折叠

摘要

Abstract

It is challenging to identify the features of subsurface fresh bruises of fruits and vegetables by traditional uni-form imaging techniques due to the mild symptoms.Owing to the capability of depth-varying and signal-enhanced char-acterization,spatial-frequency domain imaging was used to detect the fresh bruising(within 30 minutes)of 10 kinds of fruits and vegetables(carrot,Fuji apple,cucumber,golden delicious apple,fruit cucumber,delicious apple,mango,yellow peach,rose plum,and honey peach).Through the procedures of image acquisition,image demodulation,white-board correction and inverse estimation,optical properties of the fruits and vegetables were obtained.The results indicat-ed that there were great differences of optical properties between non-bruised and bruised samples,with decreased values of reduced scattering coefficients for the bruised ones,which visually realized the non-destructive detection of early bruising.The novel method proposed in this paper is promising for non-destructive detection of early bruising of fruits and vegetables.

关键词

空间频域成像/果蔬/皮下隐性损伤/光学特性参数/无损检测

Key words

spatial-frequency domain imaging/fruits and vegetables/subsurface bruising/optical properties/nondestruc-tive detection

引用本文复制引用

黄璇,周童童,孙志忠,杨自栋,孙通,胡栋..基于空间频域成像的果蔬皮下隐性损伤可视化检测[J].中国食品学报,2023,23(12):229-237,9.

基金项目

国家自然科学基金项目(32371987,32001414) (32371987,32001414)

中国食品学报

OA北大核心CSCDCSTPCDEI

1009-7848

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