An expert egg grading system based on machine vision and artificial intelligence techniques

Journal of Food Engineering

Volumn 118, Issue 1, 2013, Pages 70-77

  Omid, Mahmoud ^a   Soltani, Mahmoud ^a   Dehrouyeh, Mohammad Hadi ^a   Mohtasebi, Seyed Saeid ^a   Ahmadi, Hojat ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Classification; Defects; Egg; Fuzzy logic; Image processing; Simulink

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER CIRCUITS; CRACK DETECTION; DEFECTS; FUZZY INFERENCE; FUZZY LOGIC; GRADING; IMAGE PROCESSING; INTELLIGENT SYSTEMS; MEMBERSHIP FUNCTIONS;

ARTIFICIAL INTELLIGENCE TECHNIQUES; BREAKAGE DETECTION; CLASSIFICATION RATES; DESIGN AND DEVELOPMENT; FUZZY INFERENCE SYSTEMS (FIS); HUE SATURATION VALUES; SIMULINK; TRAPEZOIDAL MEMBERSHIP FUNCTIONS;

COMPUTER VISION;

EID: 84975849789     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2013.03.019     Document Type: Article

References (21)

1. Anonymous, 2000. Egg-grading manual. United States Department of Agriculture. Agriculture Handbook No.75. Agriculture Marketing Service, USDA.
2. Celik, M.B., Bayir, R., Fault detection in internal combustion engines using fuzzy logic. Proceedings IMechE, Part D: Journal of Automobile Engineering 221 (2007), 579–587.
3. Cho, H.K., Choi, W.K., Peak, J.H., Detection of surface cracks in shell eggs by acoustic impulse method. Transactions of the ASABE 43 (2000), 1921–1926.
4. Dehrouyeh, M.H., Omid, M., Ahmadi, H., et al. Grading and quality inspection of defected eggs using machine vision. International Journal of Advanced Science and Technology 17 (2010), 23–30.
5. Garcia-Alegre, M.C., Ribeiro, A., Guinea, D., Cristobal, G., 1998. Eggshell defects detection based on color processing. International Workshop on Robotics and Automated Machinery for Bio-Productions, Spain, pp. 51–66.
6. Gonzalez, R.C., Woods, R.E., Eddins, S.L., 2004. Digital image processing using Matlab. Upper Saddle River, New Jersey: Pearson/Prentice Hall.
7. Jindal, V.K., Sritham, E., 2003. Detecting eggshell cracks by acoustic impulse response and artificial neural networks. ASAE Annual International Meeting, Riviera Hotel and Convention Center, Las Vegas, Nevada, USA.
8. Lee, K.H., First course on fuzzy theory and applications (advances in intelligent and soft computing). 2005, Springer-Verlag, Heidelberg, Germany pp. 217–252.
9. Li, Y., Dhakal, S., Peng, Y., A machine vision system for identification of micro-crack in egg shell. Journal of Food Engineering 109 (2012), 127–134.
10. MathWorks, 2007. MATLAB user's guide. The MathWork, Inc.
11. Mc Andrew, A., Introduction to digital image processing with MATLAB. 2004, Thompson Course Technology, Melbourne.
12. Mertens, K., De Ketelaere, B., Kamers, B., et al. Dirt detection on brown eggs by means of color computer vision. Poultry Science 84 (2005), 1653–1659.
13. Moser, B., Navara, M., Fuzzy controllers with conditionally firing rules. IEEE Transactions on Fuzzy Systems 10 (2002), 340–348.
14. Nakano, K., Sasaoka, K., Ohtsuka, Y., A study on non-destructive detection of abnormal eggs by using image processing. The Journal of the Society of Agricultural Structures 29 (1998), 17–23.
15. Omid, M., Design of an expert system for sorting pistachio nuts through decision tree and fuzzy logic classifier. Expert Systems with Applications 38 (2011), 4339–4347.
16. Omid, M., Mahmoudi, A., Omid, M.H., An intelligent system for sorting pistachio nut varieties. Expert Systems with Applications 36 (2009), 11528–11535.
17. Pan, L.Q., Zhan, G., Tu, K., et al. Eggshell crack detection based on computer vision and acoustic response by means of back-propagation artificial neural network. European Food Research and Technology 233 (2011), 457–463.
18. Patel, V.C., Mc Clendon, R.W., Goodrum, W., Color computer vision and artificial neural networks for the detection of defects in poultry eggs. Artificial Intelligence Review 12 (1998), 163–176.
19. Usui, Y., Nakano, K., Motonaga, Y., 2003. A study on the development of non-destructive detection system for abnormal eggs. In: Proceeding of EFITA Conference, Debrecen (Hungary), pp. 625–631.
20. Wang, J., Jiang, R., Eggshell crack detection by dynamic frequency analysis. European Food Research and Technology 221 (2004), 214–220.
21. Yapici, F., Ozcifci, A., Akbulut, T., Bayir, R., Determination of modulus of rupture and modulus of elasticity on flake board with fuzzy logic classifier. Materials and Design 30 (2009), 2269–2273.