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Volumn 38, Issue 2, 2008, Pages 489-492

Recognition method of rice kernel shape based on computer vision

Author keywords

BP neural network; Computer vision; Food machinery; Principal components analysis; Rice kernel shape recognition

Indexed keywords

BACKPROPAGATION; FOOD PROCESSING; IMAGE RECOGNITION; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS;

EID: 41649088050     PISSN: 16715497     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (10)

References (9)
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    • (2003) Journal of Zhengzhou Institute of Technology , vol.23 , Issue.3 , pp. 99-103
    • Qiu, D.-Y.1    Hu, Y.-X.2    Bai, X.-G.3
  • 2
    • 0028751311 scopus 로고
    • Automatic vision inspection system for the analysis and detection of breakages and defects of Satsuma slices
    • San Antonio, TX, USA
    • Torres Sanchez R, Tomas Balibrea L M, Lopez Alcantud J A, et al. Automatic vision inspection system for the analysis and detection of breakages and defects of Satsuma slices [C]//IEEE International Conference on Systems Man and Cybernetics, San Antonio, TX, USA, 1994.
    • (1994) IEEE International Conference on Systems Man and Cybernetics
    • Torres, S.R.1    Tomas, B.L.M.2    Lopez, A.J.A.3
  • 3
    • 0036524159 scopus 로고    scopus 로고
    • Rice quality classification using an automatic grain quality inspection system
    • Wan Y N, Lin C M. Rice quality classification using an automatic grain quality inspection system [J]. Transaction of ASAE, 2002, 45(2): 379-387.
    • (2002) Transaction of ASAE , vol.45 , Issue.2 , pp. 379-387
    • Wan, Y.N.1    Lin, C.M.2
  • 4
    • 0042192001 scopus 로고    scopus 로고
    • The applications of computer vision system and tomographic radar imaging for assessing physical properties of food
    • Abdullah M Z, Guan L C, Lim K C. The applications of computer vision system and tomographic radar imaging for assessing physical properties of food [J]. Journal of Food Engineering, 2004, 61(1): 125-135.
    • (2004) Journal of Food Engineering , vol.61 , Issue.1 , pp. 125-135
    • Abdullah, M.Z.1    Guan, L.C.2    Lim, K.C.3
  • 5
    • 0007679040 scopus 로고    scopus 로고
    • Two-dimensional image analysis of the shape of rice and its application to separating varieties
    • Sakai N, Yonekawa S, Matsuzaki A. Two-dimensional image analysis of the shape of rice and its application to separating varieties [J]. Journal of Food Engineering, 1996, 27(4): 397-407.
    • (1996) Journal of Food Engineering , vol.27 , Issue.4 , pp. 397-407
    • Sakai, N.1    Yonekawa, S.2    Matsuzaki, A.3
  • 7
    • 33748179318 scopus 로고    scopus 로고
    • Rice fissure detection using computer vision
    • Zheng Hua-dong, Liu Mu-hua, Wu Yan-hong, et al. Rice fissure detection using computer vision [J]. Transactions of the CSAE, 2006, 22(7): 129-133.
    • (2006) Transactions of the CSAE , vol.22 , Issue.7 , pp. 129-133
    • Zheng, H.-D.1    Liu, M.-H.2    Wu, Y.-H.3
  • 8
    • 19844363206 scopus 로고    scopus 로고
    • Compute vision based rice chalkiness detection using MATLAB
    • Sun Ming, Ling Yun, Wang Yi-ming. Compute vision based rice chalkiness detection using MATLAB [J]. Transactions of the CSAE, 2002, 18(4): 146-149.
    • (2002) Transactions of the CSAE , vol.18 , Issue.4 , pp. 146-149
    • Sun, M.1    Ling, Y.2    Wang, Y.-M.3
  • 9
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    • Optimization of neural networks for grain classification
    • Jiang De-yun, Zhang Gong. Optimization of neural networks for grain classification [J]. Transactions of the CSAE, 2002, 18(5): 231-234.
    • (2002) Transactions of the CSAE , vol.18 , Issue.5 , pp. 231-234
    • Jiang, D.-Y.1    Zhang, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.