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Volumn 84, Issue 3, 2010, Pages 455-465

Classification of pre-sliced pork and Turkey ham qualities based on image colour and textural features and their relationships with consumer responses

Author keywords

Classification; Colour; Computer vision; Consumer agreement; Ham; Image analysis; Image texture; Pork; Pre sliced; Turkey

Indexed keywords

ANIMAL; ARTICLE; CLASSIFICATION; COLOR; COLOR VISION TEST; CONSUMER; HUMAN; MEAT; SKELETAL MUSCLE; STANDARD; STATISTICAL MODEL; SWINE;

EID: 73749085932     PISSN: 03091740     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.meatsci.2009.09.016     Document Type: Article
Times cited : (50)

References (39)
  • 1
    • 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., and Karim A.A. The applications of computer vision system and tomographic radar imaging for assessing physical properties of food. Journal of Food Engineering 61 (2004) 125-135
    • (2004) Journal of Food Engineering , vol.61 , pp. 125-135
    • Abdullah, M.Z.1    Guan, L.C.2    Lim, K.C.3    Karim, A.A.4
  • 2
    • 0031622399 scopus 로고    scopus 로고
    • Ham quality control by means of fuzzy decision trees: A case study
    • IEEE world congress on computational intelligence Anchorage, USA
    • Adorni, G., Bianchi, D., & Cagnoni, S. (1998). Ham quality control by means of fuzzy decision trees: A case study. In Fuzzy systems proceedings, IEEE world congress on computational intelligence (Vol.2, pp. 1583-1588). Anchorage, USA.
    • (1998) Fuzzy systems proceedings , vol.2 , pp. 1583-1588
    • Adorni, G.1    Bianchi, D.2    Cagnoni, S.3
  • 3
    • 73749086865 scopus 로고    scopus 로고
    • Agriculture Canada, (XXXX). Pork quality. Publication 5180/B.
    • Agriculture Canada, (XXXX). Pork quality. Publication 5180/B.
  • 5
    • 73749087798 scopus 로고    scopus 로고
    • AOAC (1998). Official methods of analysis of AOAC international (16th ed. 2, 39.1.02). Gaithersburg, MD: Association of Official Analytical Chemists.
    • AOAC (1998). Official methods of analysis of AOAC international (16th ed. Vol. 2, 39.1.02). Gaithersburg, MD: Association of Official Analytical Chemists.
  • 6
    • 27144464817 scopus 로고    scopus 로고
    • Ham production: Cooked ham
    • W. Jensen, C. Devine, & M. Dikeman Eds, Oxford: Elsevier
    • Arboix, A. A. (2004). Ham production: Cooked ham. In W. Jensen, C. Devine, & M. Dikeman (Eds.), Encyclopedia of meat sciences (pp. 562-567). Oxford: Elsevier.
    • (2004) Encyclopedia of meat sciences , pp. 562-567
    • Arboix, A.A.1
  • 7
    • 0034018783 scopus 로고    scopus 로고
    • Application of texture image analysis for the classification of bovine meat
    • Basset O., Buquet B., Abouelkaram S., Delachartre P., and Culioli J. Application of texture image analysis for the classification of bovine meat. Food Chemistry 69 4 (2000) 437-445
    • (2000) Food Chemistry , vol.69 , Issue.4 , pp. 437-445
    • Basset, O.1    Buquet, B.2    Abouelkaram, S.3    Delachartre, P.4    Culioli, J.5
  • 8
    • 54949127574 scopus 로고    scopus 로고
    • Defining meat quality
    • J. Kerry, J. Kerry, & D. Ledward Eds, New York, USA: CRC Press
    • Becker, T. (2002). Defining meat quality. In J. Kerry, J. Kerry, & D. Ledward (Eds.), Meat processing: Improving quality (pp. 2.1-2.7). New York, USA: CRC Press.
    • (2002) Meat processing: Improving quality
    • Becker, T.1
  • 9
    • 0001748347 scopus 로고
    • Consumer perception of sensory quality in muscle foods: Sensory characteristics of meat influence consumer decisions
    • Chambers I.V.E., and Bowers J. Consumer perception of sensory quality in muscle foods: Sensory characteristics of meat influence consumer decisions. Food Technology 47 (1993) 116-120
    • (1993) Food Technology , vol.47 , pp. 116-120
    • Chambers, I.V.E.1    Bowers, J.2
  • 10
    • 73749085432 scopus 로고    scopus 로고
    • Statistic tool box
    • Department of Obstetrics and Gynaecology. The Chinese University of Hong Kong, Accessed February 2009
    • Chang, A. (2000). Statistic tool box. Cohen's Kappa test for nominal data as concordance between multiple raters. Department of Obstetrics and Gynaecology. The Chinese University of Hong Kong. . (Accessed February 2009).
    • (2000) Cohen's Kappa test for nominal data as concordance between multiple raters
    • Chang, A.1
  • 11
    • 0030273917 scopus 로고    scopus 로고
    • Lean colour of green and matured Parma hams: Comparative evaluation and technological relevance of sensory and objective data
    • Chizzolini R., et al. Lean colour of green and matured Parma hams: Comparative evaluation and technological relevance of sensory and objective data. Meat Science 44 3 (1996) 159-172
    • (1996) Meat Science , vol.44 , Issue.3 , pp. 159-172
    • Chizzolini, R.1
  • 13
    • 1842483869 scopus 로고    scopus 로고
    • Recent developments in the applications of image processing techniques for food quality evaluation
    • Du C., and Sun D.-W. Recent developments in the applications of image processing techniques for food quality evaluation. Trends in Food Science and Technology 15 (2004) 230-249
    • (2004) Trends in Food Science and Technology , vol.15 , pp. 230-249
    • Du, C.1    Sun, D.-W.2
  • 14
    • 24344456058 scopus 로고    scopus 로고
    • Correlating shrinkage with yield, water content and texture of pork ham by computer vision
    • Du C.J., and Sun D.-W. Correlating shrinkage with yield, water content and texture of pork ham by computer vision. Journal of Food Process Engineering 28 (2005) 219-232
    • (2005) Journal of Food Process Engineering , vol.28 , pp. 219-232
    • Du, C.J.1    Sun, D.-W.2
  • 15
    • 27644503178 scopus 로고    scopus 로고
    • Automatic measurement of pores and porosity in pork ham and their correlations with processing time water content and texture
    • Du C.J., and Sun D.-W. Automatic measurement of pores and porosity in pork ham and their correlations with processing time water content and texture. Meat Science 72 2 (2006) 294-302
    • (2006) Meat Science , vol.72 , Issue.2 , pp. 294-302
    • Du, C.J.1    Sun, D.-W.2
  • 16
    • 80053570160 scopus 로고    scopus 로고
    • Application of image analysis and artificial neural network to predict mass transfer kinetics and color changes of osmotically dehydrated kiwifruit
    • doi:10.1007/s11947-009-0222-y
    • Fathi, M., Mohebbi, M., & Razavi, S. M. A. (2009). Application of image analysis and artificial neural network to predict mass transfer kinetics and color changes of osmotically dehydrated kiwifruit. Food and Bioprocess Technology, doi:10.1007/s11947-009-0222-y.
    • (2009) Food and Bioprocess Technology
    • Fathi, M.1    Mohebbi, M.2    Razavi, S.M.A.3
  • 17
    • 54949130255 scopus 로고    scopus 로고
    • Colour in fresh meat and in cured meat products
    • Cambridge, England: Woodhead Publishing Ltd
    • Feiner, G. (2006). Colour in fresh meat and in cured meat products. In Meat products handbook: Practical science and technology (pp. 142-156). Cambridge, England: Woodhead Publishing Ltd.
    • (2006) Meat products handbook: Practical science and technology , pp. 142-156
    • Feiner, G.1
  • 19
    • 0041691321 scopus 로고    scopus 로고
    • Developments in the use of image analysis for the assessment of oriental noodle appearance and color
    • Hatcher D.W., Symons S.J., and Manivannan U. Developments in the use of image analysis for the assessment of oriental noodle appearance and color. Journal of Food Engineering 61 (2004) 109-117
    • (2004) Journal of Food Engineering , vol.61 , pp. 109-117
    • Hatcher, D.W.1    Symons, S.J.2    Manivannan, U.3
  • 20
    • 64249099255 scopus 로고    scopus 로고
    • Multimedia systems and equipment - Colour measurements and management - Part 2-1: Colour management - Default RGB color space - sRGB
    • IEC 61966-2-1 , International Electrotechnical Commission, Geneva, 1999
    • IEC 61966-2-1 (1999). Multimedia systems and equipment - Colour measurements and management - Part 2-1: Colour management - Default RGB color space - sRGB. International Electrotechnical Commission, Geneva, 1999-10.
    • (2010)
  • 21
    • 58249090190 scopus 로고    scopus 로고
    • Prediction of beef eating qualities from colour, marbling and wavelet surface texture features using homogenous carcass treatment
    • Jackman P., Sun D.-W., Du C.-J., and Allen P. Prediction of beef eating qualities from colour, marbling and wavelet surface texture features using homogenous carcass treatment. Pattern Recognition 42 5 (2008) 751-763
    • (2008) Pattern Recognition , vol.42 , Issue.5 , pp. 751-763
    • Jackman, P.1    Sun, D.-W.2    Du, C.-J.3    Allen, P.4
  • 23
    • 79955364735 scopus 로고    scopus 로고
    • Viscosity and color change during in situ solidification of grape Pekmez
    • doi:10.1007/s11947-008-0169-4
    • Kaya, A., Ko, S., & Gunasekaran, S. (2008) Viscosity and color change during in situ solidification of grape Pekmez. Food and Bioprocess Technology. doi:10.1007/s11947-008-0169-4.
    • (2008) Food and Bioprocess Technology
    • Kaya, A.1    Ko, S.2    Gunasekaran, S.3
  • 24
    • 77955185467 scopus 로고    scopus 로고
    • Rapid detection of microorganisms using image processing parameters and neural network
    • doi:10.1007/s11947-008-0122-6
    • Kumar, S., & Mittal, G. S. (2009). Rapid detection of microorganisms using image processing parameters and neural network. Food and Bioprocess Technology. doi:10.1007/s11947-008-0122-6.
    • (2009) Food and Bioprocess Technology
    • Kumar, S.1    Mittal, G.S.2
  • 26
    • 33751103926 scopus 로고    scopus 로고
    • Calibrated color measurements of agricultural foods using image analysis
    • Mendoza F., Dejmek P., and Aguilera J.M. Calibrated color measurements of agricultural foods using image analysis. Postharvest Biology and Technology 41 3 (2006) 285-295
    • (2006) Postharvest Biology and Technology , vol.41 , Issue.3 , pp. 285-295
    • Mendoza, F.1    Dejmek, P.2    Aguilera, J.M.3
  • 27
    • 34548601798 scopus 로고    scopus 로고
    • Colour and image texture analysis in classification of commercial potato chips
    • Mendoza F., Dejmek P., and Aguilera J.M. Colour and image texture analysis in classification of commercial potato chips. Food Research International 40 (2007) 1146-1154
    • (2007) Food Research International , vol.40 , pp. 1146-1154
    • Mendoza, F.1    Dejmek, P.2    Aguilera, J.M.3
  • 28
    • 54949089572 scopus 로고    scopus 로고
    • Analysis and classification of commercial ham slice images using directional fractal dimension features
    • Mendoza F., Valous N.A., Allen P., Kenny T.A., Ward P., and Sun D.-W. Analysis and classification of commercial ham slice images using directional fractal dimension features. Meat Science 81 2 (2009) 313-320
    • (2009) Meat Science , vol.81 , Issue.2 , pp. 313-320
    • Mendoza, F.1    Valous, N.A.2    Allen, P.3    Kenny, T.A.4    Ward, P.5    Sun, D.-W.6
  • 30
    • 77953909499 scopus 로고    scopus 로고
    • Computer vision and stereoscopy for estimating firmness in the Salmon (Salmon salar) fillets
    • doi:10.1007/s11947-008-0097-3
    • Quevedo, R.A., & Aguilera, J.M. (2008). Computer vision and stereoscopy for estimating firmness in the Salmon (Salmon salar) fillets. Food and Bioprocess Technology. doi:10.1007/s11947-008-0097-3.
    • (2008) Food and Bioprocess Technology
    • Quevedo, R.A.1    Aguilera, J.M.2
  • 31
    • 77955089868 scopus 로고    scopus 로고
    • Color of salmon fillets by computer vision and sensory panel
    • doi:10.1007/s11947-008-0106-6
    • Quevedo, R.A., Aguilera, J.M., & Pedreschi, F. (2009). Color of salmon fillets by computer vision and sensory panel. Food and Bioprocess Technology. doi:10.1007/s11947-008-0106-6.
    • (2009) Food and Bioprocess Technology
    • Quevedo, R.A.1    Aguilera, J.M.2    Pedreschi, F.3
  • 33
    • 0033147494 scopus 로고    scopus 로고
    • A low cost video technique for color measurement of potato chips
    • Segnini S., Dejmek P., and Öste R. A low cost video technique for color measurement of potato chips. LWT - Food Science & Technology 32 (1999) 216-222
    • (1999) LWT - Food Science & Technology , vol.32 , pp. 216-222
    • Segnini, S.1    Dejmek, P.2    Öste, R.3
  • 35
    • 73749088667 scopus 로고    scopus 로고
    • StatGraphics (1999). Advanced regressions. Using logistic regression. In User manual (Chapter 7). StatGraphics Plus for Windows. Version 5.1 (Professional ed.). Rockville, MD, USA: Manugistic, Inc..
    • StatGraphics (1999). Advanced regressions. Using logistic regression. In User manual (Chapter 7). StatGraphics Plus for Windows. Version 5.1 (Professional ed.). Rockville, MD, USA: Manugistic, Inc..
  • 36
    • 0003112904 scopus 로고    scopus 로고
    • Texture analysis
    • C. H. Chen, L. F. Pau, & P. S. P. Wang Eds, 2nd ed, pp, New Jersey: World Scientific Publishing Co
    • Tuceryan, M. (1998). Texture analysis. In C. H. Chen, L. F. Pau, & P. S. P. Wang (Eds.), The handbook of pattern recognition and computer vision (2nd ed., pp. 207-248). New Jersey: World Scientific Publishing Co.
    • (1998) The handbook of pattern recognition and computer vision , pp. 207-248
    • Tuceryan, M.1
  • 37
    • 53549099926 scopus 로고    scopus 로고
    • Colour calibration of a laboratory computer vision system for quality evaluation of pre-sliced hams
    • Valous N.A., Mendoza F., Sun D.-W., and Allen P. Colour calibration of a laboratory computer vision system for quality evaluation of pre-sliced hams. Meat Science 81 1 (2009) 132-141
    • (2009) Meat Science , vol.81 , Issue.1 , pp. 132-141
    • Valous, N.A.1    Mendoza, F.2    Sun, D.-W.3    Allen, P.4
  • 38
    • 33745334330 scopus 로고    scopus 로고
    • Correlating colour to moisture content of large cooked beef joints by computer vision
    • Zheng C., Sun D.-W., and Zheng L. Correlating colour to moisture content of large cooked beef joints by computer vision. Journal of Food Engineering 77 (2006) 858-863
    • (2006) Journal of Food Engineering , vol.77 , pp. 858-863
    • Zheng, C.1    Sun, D.-W.2    Zheng, L.3
  • 39
    • 34247390773 scopus 로고    scopus 로고
    • A new region-primitive method for classification of colour meat image texture based on size, orientation, and contrast
    • Zheng C., Sun D.-W., and Zheng L. A new region-primitive method for classification of colour meat image texture based on size, orientation, and contrast. Meat Science 76 (2007) 620-627
    • (2007) Meat Science , vol.76 , pp. 620-627
    • Zheng, C.1    Sun, D.-W.2    Zheng, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.