Automatic defect segmentation of 'Jonagold' apples on multi-spectral images: A comparative study

Postharvest Biology and Technology

Volumn 42, Issue 3, 2006, Pages 271-279

  Unay, D ^a   Gosselin, B ^a  

^a FACULTÉ POLYTECHNIQUE DE MONS   (Belgium)

Author keywords

Apple; Classifiers; Defect; Machine vision; Segmentation; Thresholding

Indexed keywords

MALUS X DOMESTICA;

EID: 33750700023     PISSN: 09255214     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.postharvbio.2006.06.010     Document Type: Article

References (30)

1. Anonymous. Commission regulation (EC) no. 85/2004 of 15 January 2004 on marketing standards for apples. Off. J. Eur. Union L 13 (2004) 3-18
2. Bennedsen B., and Peterson D. Performance of a system for apple surface defect identification in near-infrared images. Biosyst. Eng. 90 (2005) 419-431
3. Blasco J., Aliexos N., and Moltó E. Machine vision system for automatic quality grading of fruit. Biosyst. Eng. 85 (2003) 415-423
4. Burges C. A tutorial on support vector machines for pattern recognition. Data Min. Knowl. Disc. 2 (1998) 121-127
5. Crowe T., and Delwiche M. Real-time defect detection in fruit. Part II. An algorithm and performance of a prototype system. Trans. ASAE 39 (1996) 2309-2317
6. Davenel A., Guizard C., Labarre T., and Sevila F. Automatic detection of surface defects on fruit by using a vision system. J. Agric. Eng. Res. 41 (1988) 1-9
7. Du C.-J., and Sun D.-W. Recent developments in the applications of image processing techniques for food quality evaluation. Trends Food Sci. Technol. 15 (2004) 230-249
8. Duda R., Hart P., and Stork D. Pattern Classification. 2nd ed. (2001), John Wiley & Sons, New York
9. In: Haykin S. (Ed). Neural Networks: A Comprehensive Foundation (1994), Prentice-Hall PTR, New Jersey
10. Jaochims T. Making large-scale svm learning practical. In: Schölkopf B., Burges C., and Smola A. (Eds). Advances in Kernel Methods-Support Vector Learning (1999), MIT Press 169-185
11. Kapur J., Sahoo P., and Wong A. A new method for gray-level picture thresholding using the entropy of the histogram. Graph. Models Image Proc. 29 (1985) 273-285
12. Kiefte, M., 1999. Discriminant analysis toolbox ver. 0.3 for matlab. [available at] http://www.mathworks.com/matlabcentral/fileexchange/ under 'Statistics and Probability' category.
13. Kim M., Lefcourt A., Chen Y.-R., and Tao Y. Automated detection of fecal contamination of apples based on multispectral fluorescence image fusion. J. Food Eng. 71 (2005) 85-91
14. Kleynen O., Leemans V., and Destain M.-F. Selection of the most efficient wavelength bands for 'Jonagold' apple sorting. Postharvest Biol. Technol. 30 (2003) 221-232
15. Kleynen O., Leemans V., and Destain M.-F. Development of a multispectral vision system for the detection of defects on apples. J. Food Eng. 69 (2005) 41-49
16. Leemans V., Magein H., and Destain M.-F. Defect segmentation on 'golden delicious' apples by using colour machine vision. Comput. Electron. Agric. 20 (1998) 117-130
17. Leemans V., Magein H., and Destain M.-F. Defect segmentation on 'Jonagold' apples using colour vision and a Bayesian classification method. Comput. Electron. Agric. 23 (1999) 43-53
18. Li Q., Wang M., and Gu W. Computer vision based system for apple surface defect detection. Comput. Electron. Agric. 36 (2002) 215-223
19. Mehl P., Chao K., Kim M., and Chen Y. Detection of defects on selected apple cultivars using hyperspectral and multispectral image analysis. Appl. Eng. Agric. 18 (2002) 219-226
20. Moltó E., Blasco J., and Benlloch J. Computer vision for automatic inspection of agricultural produces. In: Meyer G., and Deshacer J.A. (Eds). Proceedings of the Symposium on Precision Agriculture and Biological Quality, Proceedings of SPIE, vol. 3543. Boston, MA, USA (November 1998) 91-100
21. Nakano K. Application of neural networks to the color grading of apples. Comput. Electron. Agric. 18 (1997) 105-116
22. Niblack W. An Introduction to Digital Image Processing (1986), Prentice-Hall, Englewood Cliffs, NJ
23. Otsu N. A threshold selection method from gray-level histograms. IEEE Trans. Sys. Man Cyber smc-8 (1979) 62-66
24. Ridler T., and Calvard S. Picture thresholding using an iterative selection method. IEEE Trans. Syst. Man Cyber smc-8 (1978) 630-632
25. Tao Y., and Wen Z. An adaptive spherical image transform for high-speed fruit defect detection. Trans. ASAE 42 (1999) 241-246
26. Throop J., Aneshansley D., Anger W., and Peterson D. Quality evaluation of apples based on surface defects: development of an automated inspection system. Postharvest Biol. Technol. 36 (2005) 281-290
27. Unay D., and Gosselin B. A quality sorting method for 'Jonagold' apples. Proceedings of the International Agricultural Engineering Conference. Leuven, Belgium, September 12-16 (2004)
28. Unay D., and Gosselin B. Stem and calyx recognition on 'jonagold' apples by pattern recognition. J. Food Eng. 78 (2007) 597-605
29. Wen Z., and Tao Y. Building a rule-based machine-vision system for defect inspection on apple sorting and packing lines. Expert Syst. Appl. 16 (1999) 307-313
30. Yang Q. An approach to apple surface feature detection by machine vision. Comput. Electron. Agric. 11 (1994) 249-264