메뉴 건너뛰기




Volumn 233, Issue 5, 2011, Pages 769-779

Discrimination of wheat grain varieties using image analysis: Morphological features

Author keywords

Classification; Digital image analysis; Discrimination; Flatbed scanner; Image morphological feature; Size

Indexed keywords

DIGITAL IMAGE ANALYSIS; DISCRIMINATION; FLATBED SCANNERS; MORPHOLOGICAL FEATURES; SIZE;

EID: 80255122651     PISSN: 14382377     EISSN: 14382385     Source Type: Journal    
DOI: 10.1007/s00217-011-1573-y     Document Type: Article
Times cited : (36)

References (18)
  • 1
    • 0036856755 scopus 로고    scopus 로고
    • Inspection and grading of agricultural and food products by computer vision systems-a review
    • Brosnan T, Da-Wen S (2002) Inspection and grading of agricultural and food products by computer vision systems-a review. Comput Electron Agric 36: 193-213.
    • (2002) Comput Electron Agric , vol.36 , pp. 193-213
    • Brosnan, T.1    Da-Wen, S.2
  • 4
    • 0003130349 scopus 로고    scopus 로고
    • Identifications of damaged kernels in wheat using a colour machine vision system
    • Luo X, Jayas DS, Symons SJ (1999) Identifications of damaged kernels in wheat using a colour machine vision system. J Cereal Sci 30: 49-59.
    • (1999) J Cereal Sci , vol.30 , pp. 49-59
    • Luo, X.1    Jayas, D.S.2    Symons, S.J.3
  • 5
    • 0034473332 scopus 로고    scopus 로고
    • Classification of cereal grains using machine vision: I. Morphology models
    • Majumdar S, Jayas DS (2000) Classification of cereal grains using machine vision: I. Morphology models. Am Soc Agric Eng 43: 1669-1675.
    • (2000) Am Soc Agric Eng , vol.43 , pp. 1669-1675
    • Majumdar, S.1    Jayas, D.S.2
  • 6
    • 0042404518 scopus 로고    scopus 로고
    • Evaluation of malting barley quality using exploratory data analysis. II. The use of kernel hardness and image analysis as screening methods
    • Nielsen JP (2003) Evaluation of malting barley quality using exploratory data analysis. II. The use of kernel hardness and image analysis as screening methods. J Cereal Sci 38: 247-255.
    • (2003) J Cereal Sci , vol.38 , pp. 247-255
    • Nielsen, J.P.1
  • 7
    • 14644403073 scopus 로고    scopus 로고
    • Large-scale investigation of weed seed identification by machine vision
    • Pablo MG, Pablo F, Verdes H, Ceccatto A (2005) Large-scale investigation of weed seed identification by machine vision. Comput Electron Agric 47: 15-24.
    • (2005) Comput Electron Agric , vol.47 , pp. 15-24
    • Pablo, M.G.1    Pablo, F.2    Verdes, H.3    Ceccatto, A.4
  • 9
    • 0042233707 scopus 로고    scopus 로고
    • Comparison of a neural network and non-parametric classifier for grain kernel identification
    • Paliwal J, Visen NS, Jayas DS, White NDG (2003) Comparison of a neural network and non-parametric classifier for grain kernel identification. Biosystems Eng 85: 405-413.
    • (2003) Biosystems Eng , vol.85 , pp. 405-413
    • Paliwal, J.1    Visen, N.S.2    Jayas, D.S.3    White, N.D.G.4
  • 10
    • 0005331171 scopus 로고    scopus 로고
    • Evaluation of neural network architectures for cereal classification using morphological features
    • Paliwal J, Visen NS, Jayas DS (2001) Evaluation of neural network architectures for cereal classification using morphological features. J Agric Eng Res 79: 361-370.
    • (2001) J Agric Eng Res , vol.79 , pp. 361-370
    • Paliwal, J.1    Visen, N.S.2    Jayas, D.S.3
  • 11
    • 80255128681 scopus 로고    scopus 로고
    • Lentil seed size distribution with machine vision
    • In: St. Joseph (eds), Sacramento, 30 July to 1 Aug, 2001, paper no. 01-3058
    • Shahin MA, Symons SJ (2001) Lentil seed size distribution with machine vision. In: St. Joseph (eds) ASAE annual international meeting, Sacramento, 30 July to 1 Aug, 2001, paper no. 01-3058.
    • (2001) ASAE annual international meeting
    • Shahin, M.A.1    Symons, S.J.2
  • 14
    • 67349253057 scopus 로고    scopus 로고
    • Identification of Italian landraces of bean (Phaseolus vulgaris L.) using an image analysis system
    • Venora G, Grillo O, Ravalli C, Cremonini R (2009) Identification of Italian landraces of bean (Phaseolus vulgaris L.) using an image analysis system. Sci Hortic 121: 410-418.
    • (2009) Sci Hortic , vol.121 , pp. 410-418
    • Venora, G.1    Grillo, O.2    Ravalli, C.3    Cremonini, R.4
  • 15
    • 33751023012 scopus 로고    scopus 로고
    • Identification of Sicilian landraces and Canadian cultivars of lentil using image analysis system
    • Venora G, Grillo O, Shahin MA, Symons SJ (2007) Identification of Sicilian landraces and Canadian cultivars of lentil using image analysis system. Food Res Int 40: 161-166.
    • (2007) Food Res Int , vol.40 , pp. 161-166
    • Venora, G.1    Grillo, O.2    Shahin, M.A.3    Symons, S.J.4
  • 16
  • 18
    • 0025723725 scopus 로고
    • Image analysis applications for grain science. SPIE-the international society of optical engineering
    • Zayas IZ, Steele JL (1990) Image analysis applications for grain science. SPIE-the international society of optical engineering. Opt Agric For 1379: 151-161.
    • (1990) Opt Agric For , vol.1379 , pp. 151-161
    • Zayas, I.Z.1    Steele, J.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.