Journal of the Korean Society for Nondestructive Testing (비파괴검사학회지)

The Korean Society for Nondestructive Testing (한국비파괴검사학회)
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Study on Development of Non-Destructive Measurement Technique for Viability of Lettuce Seed (Lactuca sativa L) Using Hyperspectral Reflectance Imaging

초분광 반사광 영상을 이용한 상추(Lactuca sativa L) 종자의 활력 비파괴측정기술 개발에 관한 연구

  • Ahn, Chi-Kook (College of Agriculture and Life Science, Chungnam National University) ;
  • Cho, Byoung-Kwan (College of Agriculture and Life Science, Chungnam National University) ;
  • Mo, Chang Yeun ;
  • Kim, Moon S. (Environmental Microbial and Food Safety Laboratory, Animal and Natural Resources Institute, Agricultural Research Service, United States Department of Agriculture)
  • 안치국 (충남대학교 바이오시스템 기계공학과) ;
  • 조병관 (충남대학교 바이오시스템 기계공학과) ;
  • 모창연 (농촌진흥청 국립농업과학원 농업공학부) ;
  • Received : 2012.08.01
  • Accepted : 2012.09.26
  • Published : 2012.10.30
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Abstract

In this study, the feasibility of hyperspectral reflectance imaging technique was investigated for the discrimination of viable and non-viable lettuce seeds. The spectral data of hyperspectral reflectance images with the spectral range between 750 nm and 1000 nm were used to develop PLS-DA model for the classification of viable and non-viable lettuce seeds. The discrimination accuracy of the calibration set was 81.6% and that of the test set was 81.2%. The image analysis method was developed to construct the discriminant images of non-viable seeds with the developed PLS-DA model. The discrimination accuracy obtained from the resultant image were 91%, which showed the feasibility of hyperspectral reflectance imaging technique for the mass discrimination of non-viable lettuce seeds from viable ones.

본 연구에서는 초분광 반사광 영상기술을 이용하여 비파괴적으로 상추의 건전종자와 퇴화종자를 선별하는 기술을 개발하고자 하였다. 750~1000nm의 근적외선 초분광 반사광 영상의 분광데이터를 이용하여 상추의 발아종자와 불발아 종자를 판별하는 PLS-DA 모델을 개발하고 개발된 모델의 성능 평가를 실시하였다. 모델 calibration의 판별 정확도는 81.6%였으며, test의 결과는 81.2%의 판별 정확도를 보였다. 또한 개발된 PLS-DA 모델을 적용한 초분광 반사광 영상을 이용하여 대량의 불발아 종자를 동시에 영상으로 검출 가능한 영상처리 알고리즘을 개발하였다. 초분광 반사광 영상에 PLS-DA 모델이 적용된 영상을 이용한 검출 정확도는 91%로 나타났으며, 이는 초분광 반사광 영상을 이용하여 대량의 상추 종자의 비파괴 품질선별에 이용될 수 있음을 보여 주었다.

Keywords

References

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