Journal of Biosystems Engineering

Korean Society for Agricultural Machinery (한국농업기계학회)
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Study on Bruise Detection of 'Fuji' apple using Hyperspectral Reflectance Imagery

초분광 반사광 영상을 이용한 '후지' 사과의 멍 검출에 관한 연구

  • Cho, Byoung-Kwan (Dept. of Biosystems Machinery Engineering, Chungnam National University) ;
  • Baek, In-Suck (Dept. of Biosystems Machinery Engineering, Chungnam National University) ;
  • Lee, Nam-Geun (Tong Yang Co., LTD.) ;
  • Mo, Chang-Yeun (Dept. of Agricultural Engineering, National Academy of Agricultural Science, Rural Development Administration)
  • 조병관 (충남대학교 바이오시스템기계공학과) ;
  • 백인석 (충남대학교 바이오시스템기계공학과) ;
  • 이남근 (동양물산기업(주) 중앙기술연구소) ;
  • 모창연 (농촌진흥청 국립농업과학원 농업공학부)
  • Received : 2011.09.26
  • Accepted : 2011.10.21
  • Published : 2011.12.31
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Abstract

Defects exist underneath the fruit skin are not easily discernable by using conventional color imaging technique in the visible wavelength ranges. Development of sensitive detection methods for the defects is necessary to ensure accurate quality sorting of fruits. Hyperspectral imaging techniques, which combine the features of image and spectroscopy to acquire spatial and spectral information simultaneously, have demonstrated good potentials for identifying and detecting anomalies on biological substances. In this study, a high spatial resolution hyperspectral reflectance technique was presented as a tool for detecting bruises on apple. The two-band ratio (494 nm / 952 nm) and simple threshold methods were applied to investigate the feasibility of discriminating the bruises from sound tissue of apple. The pixel wise accuracy of the discrimination was 74%. The resultant images processed with selected wavebands and morphologic algorithm distinctively showed the early stages of bruises on apple which were not discernable by naked eyes as well as a conventional color camera. Results demonstrated good potential of the hyperspectral reflectance imaging for detection of bruises on apple.

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References

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