Prediction of texture characteristics from extrusion food surface images using a computer vision system and artificial neural networks

Journal of Food Engineering

Volumn 118, Issue 4, 2013, Pages 426-433

  Fan, F H ^a   Ma, Q ^a   Ge, J ^a   Peng, Q Y ^a   Riley, William W ^a   Tang, S Z ^a  

^a JINAN UNIVERSITY   (China)

Author keywords

Artificial neural networks; Color; Computer vision system; Extrusion food; Texture

Indexed keywords

BACK PROPAGATION ARTIFICIAL NEURAL NETWORK (BPANN); COMPUTER VISION SYSTEM; CORRELATION COEFFICIENT; HIDDEN LAYERS; INTENSITY-BASED; LINEAR FITTING; TEXTURE CHARACTERISTICS; TEXTURE PROFILE ANALYSIS;

COLOR; COMPUTER SIMULATION; COMPUTER VISION; HARDNESS; NEURAL NETWORKS; TEXTURES;

EXTRUSION;

EID: 84878844407     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2013.04.015     Document Type: Article

References (33)

1. M.Z. Abdullah, L.C. Guan, K.C. Lim, and A.A. Karim The applications of computer vision system and topographic radar imaging for assessing physical properties of food Journal of Food Engineering 61 2001 125 135
2. Z. Alcicek, and M. Balaban Development and application of "The Two Image" method for accurate object recognition and color analysis Journal of Food Engineering 111 2012 46 51
3. Annonymous Matlab Users'Guide 2005 The MathWorks, Inc. MA, USA
4. F. Antonio, M. Marco, and L. Domenico Numerical study of the extrusion process in cereals production: Part II. Analysis of variance Journal of Food Engineering 72 2 2006 179 188
5. C.M. Bishop Neural Networks for Pattern Recognition 1995 Clarendon Press Oxford 116 164
6. Cornforth, D., 1994. Color: its basis and importance. In: Pearson, A.M., Dutson, T.R., Eds., Quality Attributes and their Measurement in Meat, Poultry and Fish Products. Advances in Meat Research Series, Glasgow, United Kingdom, pp. 34-78.
7. C.J. Du, and D.W. Sun Comparison of three methods for classification of pizza topping using different colour space transformations Journal of Food Engineering 68 2005 277 287
8. J.D. Dziezak Single- and twin-screw extruders in food processing Food Technology 43 4 1989 163 174
9. M.J. Esteve, A. Frigola, C. Rodrigo, and D. Rodrigo Effect of storage period under variable conditions on the chemical and physical composition and colour of Spanish refrigerated orange juices Food and Chemical Toxicology 43 2005 1413 1422 (Pubitemid 40884617)
10. M. Fathi, M. Mohebbi, and S.M.A. Razavi Application of image analysis and artificial neural network to predict mass transfer kinetics and color changes of osmotically dehydrated kiwifruit Food and Bioprocess Technology 4 2011 1357 1366
11. V. Gokmen, and I. Sugut Anon-contact computer vision based analysis of color in foods International Journal of Food Engineering 3 5 2007 Article 5
12. J.M. Harper Extrusion of Foods vol. 1 1981 CRC Press Boca Raton, Florida 7 19
13. A.K. Jain Data clustering: 50 years beyond K-means Pattern Recognition Letters 31 2010 651 666
14. S.P. Kang, A.R. East, and F.C. Trujillo Colour vision system evaluation of bicolour fruit. A case study with 'B74' mango Postharvest Biology and Technology 49 2008 77 85
15. S.H. Ko, E.Y. Park, K.Y. Han, B.S. Noh, and S.S. Kim Development of neural network analysis program to predict shelf life of soya milk by using 3 electronic nose Food Engineering Progress 4 2000 193 198
16. S. Kumar, and G.S. Mittal Rapid detection of microorganisms using image processing parameters and neural network Food and Bioprocess Technology 3 2010 741 751
17. R.A. Mancini, and M.C. Hunt Current research in meat color Journal of Meat Science 71 2005 100 121 (Pubitemid 40972862)
18. K. Mehrotra, C.K. Mohan, and S. Raka Elements of Artificial Neural Networks 1996 MIT Press Cambridge pp. 88-153
19. F. Mendoza, and J.M. Aguilera Application of image analysis for classification of ripening bananas Journal of Food Engineering 69 2004 471 477
20. G.S. Mittal, and J. Zhang Use of artificial neural network to predict, temperature, moisture and fat in slab-shaped foods with edible coatings during deep fat frying Journal of Food Science 65 2000 978 983
21. H. Ni, and S. Gunasekaran Food quality prediction with neural networks Food Technology 52 1998 60 65
22. F. Pallottino, P. Menesatti, C. Costa, G. Paglia, F.R. De Salvador, and D. Lolletti Image analysis techniques for automated hazelnut peeling determination Food and Bioprocess Technology 3 1 2010 155 159
23. B. Park, Y.R. Chen, A.D. Whittaker, R.K. Miller, and D.S. Hale Neural network modelling for beef sensory evaluation Transactions of the American Society of Agricultural Engineers 37 1994 1547 1553
24. M.S. Rahman, and S.A. Al-Farsi Instrumental texture profile analysis (TPA) of data flesh as a fuction of moisture content Journal of Food Engineering 66 2005 505 511
25. S.J. Sangwine Colour in image processing Journal of Electronic, Communication, Engineering. 12 2000 211 219
26. S. Segnini, P. Dejmek, and R. Oste A low cost video technique for color measurement of potato chips Lebensmittel-Wissenschaft Und-Technologie 32 1999 216 222 (Pubitemid 129312054)
27. R.R.B. Singh, A.P. Ruhil, D.K. Jain, A.A. Patel, and G.R. Patil Prediction of sensory quality of UHT milk - a comparison of kinetic and neural network approaches Journal of Food Engineering 92 2009 146 151
28. B.K. Tiwari, K. Muthukumarappan, C.P. O'Donnell, M. Chenchaiah, and P.J. Cullen Effect of ozonation on the rheological and colour characteristics of hydrocolloid dispersions Food Research International 41 2008 1035 1043
29. Tulbek, M.C., Panigrahi, S., Borhan, S., Boyacioglu, M.H., Boyacioglu, D., Clifford, H., 2003. Prediction of alkaline noodle, sensory attributes by multiple regression and neural network models. In: Proceedings of the IFT Annual Meetings, Chicago, USA.
30. R. Valadez-Blanco, A.I.S. Virdi, S.T. Balke, and L.L. Diosady In-line colour monitoring during food extrusion: sensitivity and correlation with product colour Food Research International 40 2007 1129 1139 (Pubitemid 47404865)
31. B. Vallejo-Cordoba, G.E. Arteaga, and S. Nakai Predicting milk shelf life based on artificial neural networks and headspace gas chromatographic data Journal of Food Science 60 1995 885 888
32. H.H. Wu, and S. Jiang Food texture and TPA test Food Research and Development 26 5 2005 128 130
33. G. Xie, and R. Xiong Use of hyperbolic and neural network models in modelling quality changes of dry peas in long time cooking Journal of Food Engineering 41 1999 151 162 (Pubitemid 30500538)