Fluorescence hyperspectral imaging technique for foreign substance detection on fresh-cut lettuce

  • Mo, Changyeun
  • Kim, Giyoung
  • Kim, Moon S.
  • Lim, Jongguk
  • Cho, Hyunjeong
  • 외 2명
Citations

WEB OF SCIENCE

16
Citations

SCOPUS

20

초록

BACKGROUNDNon-destructive methods based on fluorescence hyperspectral imaging (HSI) techniques were developed to detect worms on fresh-cut lettuce. The optimal wavebands for detecting the worms were investigated using the one-way ANOVA and correlation analyses. RESULTSThe worm detection imaging algorithms, RSI-I(492-626)/492, provided a prediction accuracy of 99.0%. The fluorescence HSI techniques indicated that the spectral images with a pixel size of 1x1mm had the best classification accuracy for worms. CONCLUSIONThe overall results demonstrate that fluorescence HSI techniques have the potential to detect worms on fresh-cut lettuce. In the future, we will focus on developing a multi-spectral imaging system to detect foreign substances such as worms, slugs and earthworms on fresh-cut lettuce. (c) 2017 Society of Chemical Industry

키워드

fluorescencehyperspectral imagingforeign substance detectionfresh-cut lettucemulti-spectral imagingMULTISPECTRAL DETECTIONFECAL CONTAMINATIONREFLECTANCEIMAGERYSYSTEM
제목
Fluorescence hyperspectral imaging technique for foreign substance detection on fresh-cut lettuce
저자
Mo, ChangyeunKim, GiyoungKim, Moon S.Lim, JonggukCho, HyunjeongBarnaby, Jinyoung YangCho, Byoung-Kwan
DOI
10.1002/jsfa.8262
발행일
2017-09
유형
Article
저널명
Journal of the Science of Food and Agriculture
97
12
페이지
3985 ~ 3993