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Volumn , Issue , 2006, Pages

Three dimensional seed shape and size measurement with orthogonal cameras

Author keywords

3D measurements; Lentil plumpness; Seed shape; Seed size

Indexed keywords

3-D SHAPE; 3D MEASUREMENTS; DUAL CAMERAS; LENTIL PLUMPNESS; PHYSICAL MEASUREMENT; SEED COATS; SEED SIZE; SHAPE AND SIZE; SIZE AND SHAPE; SIZE MEASUREMENTS; SIZE UNIFORMITY;

EID: 67649868076     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (16)
  • 1
    • 0029782849 scopus 로고    scopus 로고
    • Identification of seeds by colour imaging: Comparison of discriminant analysis and artificial neural network
    • Chtioui, Y., D. Bertrand, Y. Dattee, and M. F. Devaux. 1996. Identification of seeds by colour imaging: Comparison of discriminant analysis and artificial neural network. J. Science of Food and Agriculture 71(4): 433-441.
    • (1996) J. Science of Food and Agriculture , vol.71 , Issue.4 , pp. 433-441
    • Chtioui, Y.1    Bertrand, D.2    Dattee, Y.3    Devaux, M.F.4
  • 2
    • 0742323260 scopus 로고    scopus 로고
    • Determination of the size distribution and percentage of broken kernels of rice using flatbed scanning and image analysis
    • Dalen, G. 2004. Determination of the size distribution and percentage of broken kernels of rice using flatbed scanning and image analysis. Food Research International 37(1): 51-58.
    • (2004) Food Research International , vol.37 , Issue.1 , pp. 51-58
    • Dalen, G.1
  • 3
    • 67649840285 scopus 로고    scopus 로고
    • New digital imaging system for measuring grain quality parameters
    • in German
    • Drobny, H. G. R. Boyer, and E. Kokko. 2004. New digital imaging system for measuring grain quality parameters. Getreidetechnologie 58(6): 374-375 (in German).
    • (2004) Getreidetechnologie , vol.58 , Issue.6 , pp. 374-375
    • Drobny, H.G.R.B.1    Kokko, E.2
  • 4
    • 3042805377 scopus 로고    scopus 로고
    • Optimising the determination of maize endosperm vitreousness by a rapid non-destructive image analysis technique
    • Erasmus, C, and J. R. N. Taylor. 2004. Optimising the determination of maize endosperm vitreousness by a rapid non-destructive image analysis technique. J. Science of Food and Agriculture 84(9): 920-930.
    • (2004) J. Science of Food and Agriculture , vol.84 , Issue.9 , pp. 920-930
    • Erasmus, C.1    Taylor, J.R.N.2
  • 5
    • 0042626083 scopus 로고    scopus 로고
    • Continuous measurement of the size and mass of wheat kernels using Michelson interferometry
    • Falk, J. D., S. Sokhansanj, and R. W. Besant. 1996. Continuous measurement of the size and mass of wheat kernels using Michelson interferometry. Computers and Electronics in Agriculture 14(1): 1-8.
    • (1996) Computers and Electronics in Agriculture , vol.14 , Issue.1 , pp. 1-8
    • Falk, J.D.1    Sokhansanj, S.2    Besant, R.W.3
  • 7
    • 0037691584 scopus 로고    scopus 로고
    • Cereal grain and dockage identification using machine vision
    • Paliwal, J., N. S. Visen, D. S. Jayas and N. D. G. White. 2003. Cereal grain and dockage identification using machine vision. Biosystems Engineering 85(1): 51-57.
    • (2003) Biosystems Engineering , vol.85 , Issue.1 , pp. 51-57
    • Paliwal, J.1    Visen, N.S.2    Jayas, D.S.3    White, N.D.G.4
  • 9
    • 0026709026 scopus 로고
    • Three-dimensional image analysis of the shape of soybean seed
    • Sakai, N., and S. Yonekawa. 1991. Three-dimensional image analysis of the shape of soybean seed. J. Food Engineering 5(3): 221-234.
    • (1991) J. Food Engineering , vol.5 , Issue.3 , pp. 221-234
    • Sakai, N.1    Yonekawa, S.2
  • 10
    • 0032913162 scopus 로고    scopus 로고
    • Effects of sampling and wheat grade on precision and accuracy of kernel features determined by digital image analysis
    • Sapirstein, H. D, and J. M. Kohler. 1999. Effects of sampling and wheat grade on precision and accuracy of kernel features determined by digital image analysis. Cereal Chemistry 76(1): 110-115.
    • (1999) Cereal Chemistry , vol.76 , Issue.1 , pp. 110-115
    • Sapirstein, H.D.1    Kohler, J.M.2
  • 11
    • 33646518847 scopus 로고    scopus 로고
    • Determining soya bean seed size uniformity with image analysis
    • in press, doi:10.1016/i.biosystemsenq.2006.02.011
    • Shahin, M. A., S. J. Symons, and V. W. Poysa. 2006. Determining soya bean seed size uniformity with image analysis. BioSystems Engineering (in press). doi:10.1016/i.biosystemsenq.2006.02.011
    • (2006) BioSystems Engineering
    • Shahin, M.A.1    Symons, S.J.2    Poysa, V.W.3
  • 12
    • 29544436693 scopus 로고    scopus 로고
    • Seed sizing from images of non-singulated grain samples
    • Shahin, M. A., and S. J. Symons. 2005. Seed sizing from images of non-singulated grain samples. Canadian BioSystems Engineering 47: 3.49-3.55.
    • (2005) Canadian BioSystems Engineering , vol.47
    • Shahin, M.A.1    Symons, S.J.2
  • 15
    • 20444505249 scopus 로고    scopus 로고
    • Measurement of the geometrical features and surface color of rapeseeds using digital image analysis
    • Tanska, M., D. Rotkiewicz, W. Kozirok, and I. Konopka. 2005. Measurement of the geometrical features and surface color of rapeseeds using digital image analysis. Food Research International 38(7): 741-750.
    • (2005) Food Research International , vol.38 , Issue.7 , pp. 741-750
    • Tanska, M.1    Rotkiewicz, D.2    Kozirok, W.3    Konopka, I.4
  • 16
    • 0030303354 scopus 로고    scopus 로고
    • Wheat classification using image analysis and crush-force parameters
    • Zayas, I, Y., C. R. Martin, J. L. Steele, and A. Katsevich. 1996. Wheat classification using image analysis and crush-force parameters. Trans. ASAE 39(6): 2199-2204.
    • (1996) Trans. ASAE , vol.39 , Issue.6 , pp. 2199-2204
    • Zayas, I.Y.1    Martin, C.R.2    Steele, J.L.3    Katsevich, A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.