Bruise Detection of Apples Using Hyperspectral Imaging

Hyperspectral Imaging for Food Quality Analysis and Control

Volumn , Issue , 2010, Pages 295-320

  Wang, Ning ^a   ElMasry, Gamal ^b  

^a OKLAHOMA STATE UNIVERSITY   (United States)

^b SUEZ CANAL UNIVERSITY   (Egypt)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84872082739     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-0-12-374753-2.10009-7     Document Type: Chapter

References (42)

1. J.A. Abbott, R. Lu, B.L. Upchurch and R.L. Stroshine (1997) Technologies for non-destructive quality evaluation of fruits and vegetables. Horticultural Review 20 1-120.
2. P. Baranowski and W. Mazurek (2008) Chosen aspects of thermographic studies on detection of physiological disorders and mechanical defects in apples. The Proceedings of the 9th International Conference on Quantitative InfraRed Thermography (QIRT 2008) July 2–5, 2008, Cracow, Poland
3. B.S. Bennedsen and D.L. Peterson (2005) Performance of a system for apple surface defect identification in near-infrared images. Biosystems Engineering 90(4), 419-431.
4. S. Bjarnestad and O. Dahlman (2002) Chemical compositions of hardwood and softwood pulps employing photoacoustic fourier transform infrared spectroscopy in combination with partial least-squares analysis. The Analyst (Chemistry) 74 5851-5858.
5. L. Bochereau, P. Bourgine and B. Palagos (1992) A method for prediction by combining data analysis and neural networks: application to prediction of apple quality using near infra-red spectra. Journal of Agricultural Engineering Research 51(2), 207-216.
6. G.K. Brown, N.L. Schulte, E.J. Timm, P.R. Armstrong and D.E. Marshall (1993) Reduce apple bruise damage. Tree Fruit Postharvest Journal 4(3), 6-10.
7. G. Carlomagno, L. Capozzo, G. Attolico and A. Distante (2004) Non-destructive grading of peaches by near-infrared spectrometry. Infrared Physics & Technology 46(1), 23-29.
8. K. Chao, Y.R. Chen, W.R. Hruschka and B. Park (2001) Chicken heart disease characterization by multi-spectral imaging. Transactions of the ASAE 17(1), 99-106.
9. X. Cheng, Y.R. Chen, Y. Tao, C.Y. Wang, M.S. Kim and A.M. Lefcourt (2004) A novel integrated PCA and FLD method on hyperspectral image feature extraction for cucumber chilling damage inspection. Transactions of the ASAE 47(4), 1313-1320.
10. L.G. Chong and C.H. Jun (2005) Performance of some variable selection methods when multicollinearity is present. Chemometrics and Intelligent Laboratory Systems 78(1), 103-112.
11. G. ElMasry, N. Wang, C. Vigneault, J. Qiao and A. ElSayed (2007) Early detection of apple bruises on different background colors using hyperspectral imaging. LWT – Food Science and Technology 41(2), 337-345.
12. G. ElMasry, N. Wang and C. Vigneault (2008) Detecting chilling injury in Red Delicious apple using hyperspectral imaging and neural networks. Postharvest Biology and Technology. Postharvest Biology and Technology 52(1), 1-8.
13. Gao, X., Heinemann, P.H., Irudayaraj, J. (2003). Non-destructive apple bruise on-line test and classification with Raman spectroscopy. ASAE Paper No. 033025. The 2003 Annual Meeting of the American Society of Agricultural and Biological Engineers (ASABE), Las Vegas, Nevada, USA, July 27–30, 2003.
14. F. Geola and U.M. Pieper (1994) A spectrophotometer method for detecting surface bruises on “Golden Delicious” apples. Journal of Agricultural Engineering Research 58(1), 47-51.
15. D.S. Jayas, J. Paliwal and N.S. Visen (2000) Multi-layer neural networks for image analysis of agricultural products. Journal of Agricultural Engineering Research 77(2), 119-128.
16. I. Kavdir and D.E. Guyer (2002) Apple sorting using artificial neural networks and spectral imaging. Transaction of the ASAE 45(6), 1995-2005.
17. I. Kavdir and D.E. Guyer (2004) Comparison of artificial neural networks and statistical classifiers in apple sorting using textural features. Biosystems Engineering 89(3), 331-344.
18. M. Keskin, R.B. Dodd, Y.J. Han and A. Khalilian (2004) Assessing nitrogen content of golf course turfgrass clippings using spectral reflectance. Applied Engineering in Agriculture 20(6), 851-860.
19. I. Kim, M.S. Kim, Y.R. Chen and S.G. Kong (2004) Detection of skin tumors on chicken carcasses using hyperspectral fluorescence imaging. Transactions of the ASAE 47(5), 1785-1792.
20. O. Kleynen, V. Leemans and M.F. Destain (2005) Development of a multispectral vision system for the detection of defects on apples. Journal of Food Engineering 69(1), 41-49.
21. Kondo, N., Chong, V. K., Ninomiya, K., Nishi, T., & Monta, M. (2005). Application of NIR-color CCD camera to eggplant grading machine. ASABE Paper No. 056073. The 2005 Annual Meeting of ASABE, Tampa, Florida, USA, July 17–20, 2005.
22. V. Leemans, H. Magein and M.F. Destain (1999) Defect segmentation on “Jonagold” apples using colour vision and a Bayesian classification method. Computers and Electronics in Agriculture 23(1), 43-53.
23. Q. Li, M. Wang and W. Gu (2002) Computer vision based system for apple surface defect detection. Computers and Electronics in Agriculture 36(2), 215-223.
24. Y. Liu, Y.R. Chen, C.Y. Wang, D.E. Chan and K.S. Kim (2006) Development of hyperspectral imaging technique for the detection of chilling injury in cucumbers; spectral and image analysis. Applied Engineering in Agriculture 22(1), 101-111.
25. Y. Liu, W.R. Windham, K.C. Lawrence and B. Park (2003) Simple algorithms for the classification of visible/near-infrared and hyperspectral imaging spectra of chicken skins, feces, and fecal contaminated skins. Applied Spectroscopy 57(12), 1609-1612.
26. R. Lu (2003) Detection of bruises on apples using near infrared hyperspectral imaging. Transactions of the ASABE 46(2), 523-530.
27. R. Lu (2004) Multispectral imaging for predicting firmness and soluble solids content of apple fruit. Postharvest Biology and Technology 31(1), 147-157.
28. P.M. Mehl, Y.R. Chen, M.S. Kim and D.E. Chan (2004) Development of hyperspectral imaging technique for the detection of apple surface defects and contaminations. Journal of Food Engineering 61(1), 67-81.
29. Nagata, M., Tallada, J. G., Kobayashi, T., & Toyoda, H. (2005). NIR hyperspectral imaging for measurement of internal quality in strawberries. ASABE Paper No. 053131. The 2005 Annual Meeting of ASABE, Tampa, Florida, USA, July 17-20, 2005.
30. M. Olah, C. Bologa and T.I. Oprea (2004) An automated PLS search for biologically relevant QSAR descriptors. Journal of Computer-Aided Molecular Design 18 437-449.
31. S.D. Osborne, R.B. Jordan and R. Künnemeyera (1997) Method of wavelength selection for partial least squares. The Analyst (Chemistry) 122 1531-1537.
32. B. Park, J.A. Abbott, K.J. Lee, C.H. Choi and K.H. Choi (2003) Near-infrared diffuse reflectance for quantitative and qualitative measurement of soluble solids and firmness of Delicious and Gala apples. Transactions of the ASAE 46(6), 1721-1731.
33. Park, B., Windham, W. R., Lawrence, K. C., & Smith, D. P. (2004). Hyperspectral image classification for fecal and ingesta identification by spectral angle mapper. ASAE Paper No. 043032. The 2004 Annual Meeting of ASAE/CSAE, Ottawa, Ontario, Canada, August 1–4, 2004.
34. Y. Peng and R. Lu (2005) Modeling multispectral scattering profiles for prediction of apple fruit firmness. Transactions of the ASABE 48(1), 235-242.
35. Polder, G., Van der Heijden, G. W., & Young, I. T. (2000). Hyperspectral image analysis for measuring ripeness of tomatoes. ASAE Paper No. 003089. The 2000 Annual Meeting of ASABE, Milwaukee, Wisconsin, USA, July 9–12, 2000.
36. G. Polder, G.W. Van der Heijden and I.T. Young (2002) Spectral image analysis for measuring ripeness of tomatoes. Transactions of the ASAE 45(4), 1155-1161.
37. M.A. Shahin, E.W. Tollner, R.W. McClendon and H.R. Arabnia (2002) Apple classification based on surface bruises using image processing and neural networks. Transactions of the ASAE 45(5), 1619-1627.
38. J.A. Throop, D.J. Aneshansley, W.C. Anger and D.L. Peterson (2005) Quality evaluation of apples based on surface defects: development of an automated inspection system. Postharvest Biology and Technology 36(1), 281-290.
39. Z. Wen and Y. Tao (1999) Building a rule-based machine-vision system for defect inspection on apple sorting and packing lines. Expert Systems with Applications 16 307-313.
40. J. Xing and J. De Baerdemaeker (2005) Bruise detection on “Jonagold” apples using hyperspectral imaging. Postharvest Biology and Technology 37(1), 152-162.
41. J. Xing, C. Bravo, D. Moshou, H. Ramon and J. De Baerdemaeker (2006) Bruise detection on “Golden Delicious” apples by VIS/NIR spectroscopy 2006. Computers and Electronics in Agriculture 52 11-20. 2006
42. R. Zwiggelaar, Q. Yang, E. Garcia-Pardo and C.R. Bull (1996) Use of spectral information and machine vision for bruise detection on peaches and apricots. Applied Engineering in Agriculture 63(4), 323-332.