Trends in application of imaging technologies to inspection of fish and fish products

Trends in Food Science and Technology

Volumn 22, Issue 6, 2011, Pages 257-275

  Mathiassen, John Reidar ^a   Misimi, Ekrem ^b   Bondø, Morten ^b   Veliyulin, Emil ^b   Østvik, Stein Ove ^b  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^b SINTEF OCEAN   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED PROCESSING; AUTOMATED SORTING; COMPUTED TOMOGRAPHY; CURRENT SITUATION; FUTURE RESEARCH DIRECTIONS; GENERAL TRENDS; IMAGING SPECTROSCOPY; IMAGING TECHNOLOGY; INDUSTRIAL SOLUTIONS; PROCESS OPTIMIZATION; REPRESENTATIVE SELECTION; XRAY IMAGING;

COMPUTERIZED TOMOGRAPHY; FISH; FISH PRODUCTS; INDUSTRIAL RESEARCH; INSPECTION; OPTIMIZATION; RESONANCE; TECHNOLOGY; TOMOGRAPHY;

MAGNETIC RESONANCE IMAGING;

EID: 79957643524     PISSN: 09242244     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tifs.2011.03.006     Document Type: Review

References (93)

1. AOAC (1990). Official methods of analysis, 15th ed., Vol. 2. Association of Official Analytical Chemists (AOAC), Arlington, VA, p 810.
2. Aursand I.G., Veliyulin E., Erikson U. Low field NMR studies of Atlantic salmon (Salmo salar). Modern magnetic resonance 2006, 895-903. Springer, The Netherlands. G.A. Webb (Ed.).
3. Aursand M., Veliyulin E., Standal I.B., Falch F., Aursand I.G., Erikson U. Process evaluation and quality assessment by NMR. Fishery products: Quality, safety and authenticity 2009, 252-272. Blackwell Publishing Limited, Oxford. O. Rehbein (Ed.).
4. 23Na MRI study. Food Chemistry 2010, 120(2):482-489.
5. Balaban M.O., Kristinsson H.G., Otwell W.S. Evaluation of color parameters in a machine vision analysis of carbon monoxide-treated fresh tuna. JAFPT 2005, 14(2):5-24.
6. Balaban M., Gulgun F., Soriano M., Ruiz E.G. Using image analysis to predict the weight of Alaskan salmon of different species. Journal of Food Science 2010, 75(3):E157-E162.
7. Balaban M., Chombeau M., Cirban D., Gümüş B. Prediction of the weight of Alaskan Pollock using image analysis. Journal of Food Science 2010, 75(8):E552-E556.
8. Belton P. Can nuclear magnetic resonance give useful information about the state of water on foodstuffs?. Comments on Agricultural and Food Chemistry 1990, 2:179-209.
9. Berg T., Erikson U., Nordtvedt T.S. Rigor mortis assessment of Atlantic salmon (Salmo salar) and effects of stress. Journal of Food Science 1997, 62:439-446.
10. Blackband S.J., Stoskopf M.K. In vivo nuclear magnetic resonance imaging and spectroscopy of aquatic organisms. Magnetic Resonance Imaging 1990, 8:191-198.
11. Bock C., Sartoris F.-J., Pörtner H.-O. In vivo MR spectroscopy and MR imaging on non-anaesthetized marine fish: techniques and first results. Magnetic Resonance Imaging 2002, 20:165-172.
12. Bondø, M., Mathiassen, J. R., Vebenstad, P., Misimi E., Skjøndal, E. M., Toldnes, B., et al, (2011). An automated salmonid slaughter line using machine vision. Industrial Robot: An International Journal, in press.
13. Canovas R.D.R., Suner P.J.F., Grau A.A., Maupoey P.F. Physical sensors and techniques. Seafood and seafood product analysis 2010, 169-188. CRC Press, Boca Raton. L.M.L. Nollet, F. Toldra (Eds.).
14. Cen H., He Y. Theory and application of near infrared reflectance spectroscopy in determination of food quality. Trends in Food Science & Technology 2007, 18:72-83.
15. Collewet G., Toussaint C., Davenel A., Akoka S., Médale F., Fauconneau B., et al. Magnetic resonance in food science: a view to the future. Special publication 262 2001, 252. Royal Soc Chem, Cambridge. G.A. Webb (Ed.).
16. Coupland J.N. Low intensity ultrasound. Food Research International 2004, 37:537-543.
17. de Silva C.W., Wickramarachchi N. An innovative machine for automated cutting of fish. IEEE Transactions on Mechatronics 1997, 2(2):86-98.
18. ElMasry G., Wold J.P. High-speed assessment of fat and water content distribution in fish fillets using online imaging spectroscopy. Journal of Agricultural and Food Chemistry 2008, 56(17):7672-7677.
19. Erikson U., Misimi E. Atlantic salmon skin and fillet color changes effected by perimortem handling stress, rigor mortis, and ice storage. Journal of Food Science 2008, 73:C50-C59.
20. Erikson U., Misimi E., Fismen B. Bleeding of anaesthetized and exhausted Atlantic salmon: body cavity inspection and residual blood in pre-rigor and smoked fillets as determined by various analytical methods. Aquaculture Research 2010, 41(4):496-510.
21. Fisheries 2009, European Commission, Trade Statistics, Accessed 14.02.11. http://ec.europa.eu/trade/creating-opportunities/economic-sectors/fisheries/statistics/.
22. Foucat L., Taylor R.G., Labas R., Renou J.P. Characterization of frozen fish by NMR imaging and histology. American Laboratory 2001, 33(16):38-43.
23. Foucat L., Taylor R.G., Labas R., Renou J.P. Soft flesh problem in freshwater rainbow trout investigated by magnetic resonance imaging and histology. Journal of Food Science 2004, 69:C320-C327.
24. Gallart-Jornet L., Barat J.M., Rustad T., Erikson U., Escriche I., Fito P. A comparative study of brine salting of Atlantic cod (Gadus morhua) and Atlantic salmon (Salmo salar). Journal of Food Engineering 2007, 79:261-270.
25. Ghaedian R., Decker E.A., McClements D.J. Use of ultrasound to determine cod fillet composition. Journal of Food Science 1997, 62:500-504.
26. Ghosh P.K., Jayas D.S. Use of spectroscopic data for automation in food processing industry. Sensing & Instrumentation for Food Quality 2009, 3:3-11.
27. Gowen A.A., O'Donnell C.P., Cullen P.J., Downey G., Frias J.M. Hyperspectral imaging - an emerging process analytical tool for food quality and safety control. Trends in Food Science & Technology 2007, 18:590-598.
28. Gowen A.A., Tiwari B.K., Cullen P.J., McDonnell K., O'Donnell C.P. Applications of thermal imaging in food quality and safety assessment. Trends in Food Science & Technology 2010, 21:190-200.
29. Gümüş B., Balaban M. Prediction of the weight of aquacultured rainbow trout (Oncorhynchus mykiss) by image analysis. Journal of Aquatic Food Product Technology 2010, 19(3 & 4):227-237.
30. Gülseren I., Coupland J.N. Ultrasound: new tools for product improvement. Nondestructive testing of food quality 2007, 45-66. Blackwell Publishing Professional. J. Irudayaraj, C. Reh (Eds.).
31. Hafsteinsson H., Rizvi S.S.H. A review of the sealworm problem: biology, implications and solutions. Journal of Food Protection 1987, 50:70-84.
32. Heia K., Sivertsen A., Stormo S., Elvevoll E., Wold J.P., Nilsen H. Detection of nematodes in cod (Gadus morhua) fillets by imaging spectroscopy. Journal of Food Science 2007, 72(1):E011-E015.
33. Heia K., Sivertsen A., Birkeland S. Automated quality control of salmon fillets - hyperspectral imaging for on-line inspection. 14th international conference on near infrared spectroscopy, Bangkok, Thailand 2009.
34. Hills B. Food processing - an MRI perspective. Trends in Food Science & Technology 1995, 6:111-117.
35. Hills B. Magnetic resonance imaging in food science 1998, John Wiley & Sons.
36. Howell N., Shavila Y., Grootveld M., Williams S. High-resolution NMR and magnetic resonance imaging (MRI) studies on fresh and frozen cod (Gadus morhua) and haddock (Melanogrammus aeglefinus). Journal of the Science of Food and Agriculture 1996, 72:49-56.
37. Hu B.-G., Gosine R.G., Cao L.X., de Silva C.W. Application of a fuzzy classification technique in computer grading of fish products. IEEE Transactions on Fuzzy Systems 1998, 6(1):144-152.
38. Håseth T.T., Høy M., Egelandsdal B., Sørheim O. Nondestructive analysis of salt, water, and protein in dried salted cod using computed tomography. Journal of Food Science 2009, 74:E147-E153.
39. Jain A., de Silva C.W., Wu Q.M.J. Intelligent fusion of sensor data for product quality assessment in a fish cutting machine. Proceedings of joint IFSA world congress and 20th NAFIPS international conference, 1 2001, 316-321.
40. Kohler A., Skaga A., Hjelme G., Skarpeid H.-J. Sorting salted cod fillets by computer vision: a pilot study. Computers and Electronics in Agriculture 2002, 36:3-16.
41. Kolstad K., Vegusdal A., Baeverfjord G., Einen O. Quantification of fat deposits and fat distribution in Atlantic halibut (Hippoglossus hippoglossus L.) using computerised X-ray tomography (CT). Aquaculture 2004, 229:255-264.
42. Kong F., Tang J., Rasco B., Crapo C., Smiley S. Quality changes of salmon (Oncorhynchus gorbuscha) muscle during thermal processing. Journal of Food Science 2007, 72(2):S103-S111.
43. Lee R.M.-F., de Silva C.W., Croft E., Jonathan Q.M. Machine vision system for curved surface inspection. Machine Vision and Applications 2000, 12:177-188.
44. Lu R., Park B. Hyperspectral and multispectral imaging for food quality and safety. Sensing & Instrumentation for Food Quality 2008, 2:131-132.
45. Luten J.B., Jacobsen C., Bekaert K., Sæbø A., Oehlenschlager J. Seafood research from fish to dish 2006, Wageningen Academic Publishers, Netherlands.
46. Marty-Mahé P., Loisel P., Fauconneau B., Haffray P., Brossard D., Davenel A. Quality traits of brown trouts (Salmo trutta) cutlets described by automated color image analysis. Aquaculture 2004, 232:225-240.
47. Mathiassen J.R., Jansson S., Veliyulin E., Njaa T., Lønseth M., Bondø M., et al. Automatic weight and quality grading of whole pelagic fish. Proceedings of the NFTC technology conference 2006 2006, 101-107.
48. Mery D., Lillo I., Loebel H., Riffo V., Soto A., Cipriano A., et al. Automated detection of fish bones in salmon fillets using X-ray testing. Proceedings of 4th pacific-rim symposium on image and video technology (PSIVT2010) 2010, 46-51.
49. Merz J., Merz W. Morphological features used to identify chinook salmon during fish passage. The Southwestern Naturalist 2004, 49(2):197-202.
50. McEvoy F., Tomkiewicz J., Støttrup J., Overton J., McEvoy C., Svalastoga E. Determination of fish gender using fractal analysis of ultrasound images. Veterinary Radiology & Ultrasound 2009, 50(5):519-524.
51. Misimi E., Mathiassen J.R., Erikson U. Computer vision-based sorting of Atlantic salmon (Salmo salar) fillets according to their color level. Journal of Food Science 2007, 72:30-35.
52. Misimi E., Erikson U., Skavhaug A. Quality grading of Atlantic salmon (Salmo salar) by computer vision. Journal of Food Science 2008, 73(5):E211-E217.
53. Misimi E., Erikson U., Digre H., Skavhaug A., Mathiassen J.R. Computer vision-based evaluation of pre- and postrigor changes in size and shape of Atlantic cod (Gadus morhua) and Atlantic salmon (Salmo salar) fillets during rigor mortis and ice storage: effects of perimortem handling stress. Journal of Food Science 2008, 73(2):E57-E68.
54. Moghim M., Vajhi A.R., Veshkini A., Masoudifard M. Determination of sex and maturity in Acipenser stellatus by using ultrasonography. Journal of Applied Ichthyology 2002, 18:325-328.
55. Nilsen H., Heia K., Esaiassen M. Basic composition: rapid methodologies. Seafood and seafood product analysis 2010, 121-138. CRC Press, Boca Raton. L.M.L. Nollet, F. Toldra (Eds.).
56. Nollet L.M.L., Toldra F. Handbook of seafood products analysis 2010, CRC Press, Boca Raton Florida.
57. Nott K.P., Evans S.D., Hall L.D. The effect of freeze-thawing on the magnetic. resonance imaging parameters of cod and mackerel. Lebensm-Wiss U-Technology 1999, 32(5):261-268.
58. Nott K.P., Evans S.D., Hall L.D. Quantitative magnetic resonance imaging of fresh and frozen-thawed trout. Magnetic Resonance Imaging 1999, 17:445-455.
59. Olafsdottir G., Nesvadba P., Di Natale C., Careche M., Oehlenschläger J., Tryggvadóttir S., et al. Multisensor for fish quality determination. Trends in Food Science & Technology 2004, 15:86-93.
60. Oliveira A.C.M., O'Keefe S.F., Balaban M.O. Video analysis to monitor rigor mortis in cultured Gulf of Mexico sturgeon (Ancipenser oxyrynchus desotoi). Journal of Food Science 2004, 69(8):E392-E397.
61. Quevedo R.A., Aguilera J.M., Pedreschi F. Color of salmon fillets by computer vision and sensory panel. Food and Bioprocess Technology 2008, 3(5):637-643.
62. Quevedo R., Aguilera J.M. Computer vision and stereoscopy for estimating firmness in the salmon (Salmon salar) fillets. Food and Bioprocess Technology 2010, 3:561-567.
63. Rehbein H., Oehlenschlager J. Fishery products: Quality, safety, authenticity 2009, Wiley-Blackwell, UK.
64. Romvári R., Hancz C.S., Petrási Z.S., Molnár T., Horn P. Non-invasive measurement of fillet composition of four freshwater fish species by computer tomography. Aquaculture International 2002, 10:231-240.
65. Roth B., Schelvis-Smit R., Stien L.H., Foss A., Nortvedt R., Imsland A. Exsanguination of turbot and the effect on fillet quality measured mechanically, by sensory evaluation, and with computer vision. Journal of Food Science 2007, 72(9):E525-E531.
66. Ruan R.R., Chen P.L. Nuclear magnetic resonance techniques and their application in food quality analysis. Nondestructive food evaluation 2001, 165-216. Marcel Dekker Inc., New York. S. Gunasekaran (Ed.).
67. Sandberg P. Nøkkeltall fra norsk havbruksnæring 2010, Fiskeridirektoratet, Bergen, Norway.
68. Segtnan V.H., Høy M., Sørheim O., Kohler A., Lundby F., Wold J.P., et al. Noncontact salt and fat distributional analysis in salted and smoked 488 salmon fillets using X-ray computed Tomography and NIR interactance imaging. Journal of Agricultural and Food Chemistry 2009, 57:1705-1710.
69. SINTEF Fisheries and Aquaculture AS, Prototype salmon fillet-trimming robot (2007). http://www.sintef.no/Fiskeri-og-havbruk-AS/ProsessTeknologi/Aktuelt/Demonstrasjon-av-automatisert-fiskebearbeiding-under-Aqua-Nor-2007/.
70. Sivertsen A., Chu C.-K., Wang L.-C., Godtliebsen F., Heia K., Nilsen H. Ridge detection with application to automatic fish fillet inspection. Journal of Food Engineering 2009, 90:317-324.
71. Sivertsen A., Kimiya T., Heia K. Automatic freshness assessment of cod (Gadus morhua) fillets by Vis/Nir spectroscopy. Journal of Food Engineering 2010, 103(3):317-323.
72. Sivertsen A., Heia K., Stormo S., Elvevoll E., Nilsen H. Automatic nematode detection in cod fillets (Gadus Morhua) by transillumination hyperspectral imaging. Journal of Food Science 2011, 76(1):S77-S83.
73. Stien L.H., Manne F., Ruohonene K., Kause A., Torrisen K.R., Kiessling A. Automated image analysis as a tool to quantify the colour and composition of rainbow trout. Aquaculture 2006, 261(2):695-705.
74. Stien L.H., Suontama J., Kiessling A. Image analysis as a tool to quantify rigor contraction in pre-rigor-filleted fillets. Computers and Electronics in Agriculture 2006, 50:109-120.
75. Stien L.H., Kiessling A., Manne F. Rapid estimation of fat content in salmon fillets by colour image analysis. Journal of Food Composition Analysis 2007, 20(2):73-79.
76. Stormo S.K., Sivertsen A.H., Heia K., Nilsen H., Elvevoll E.O. Effects of single wavelength selection for anisakid roundworm larvae detection through multispectral imaging. Journal of Food Protection 2007, 70(8):1890-1895.
77. Thielemann J., Kirkhus T., Kavli T., Schumann-Olsen H., Haugland O., Westavik H. System for estimation of pin bone positions in pre-rigor salmon. Lecture Notes in Computer Science 2007, 4678:888-896.
78. Toussaint C., Fauconneau B., Médale F., Collewet G., Akoka S., Haffray P., et al. Description of the heterogeneity of lipid distribution in the flesh of brown trout (Salmo trutta) by MR imaging. Aquaculture 2005, 243:255-267.
79. Valous N.A., Mendoza F., Sun D.-W. Emerging noncontact imaging, spectroscopic and colorimetric technologies for quality evaluation and control of hams: a review. Trends in Food Science & Technology 2010, 21:26-43.
80. Veliyulin E., Borge A., Singstad T., Gribbestad I., Erikson U. Post-mortem studies of fish using magnetic resonance imaging. Modern magnetic resonance 2006, 949-956. Springer, The Netherlands. G.A. Webb (Ed.).
81. 23Na MRI studies of Atlantic salmon (Salmo salar) and Atlantic cod (Gadus morhua) fillet pieces salted in different brine concentrations. Journal of the Science of Food and Agriculture 2007, 87:2676-2683.
82. Veliyulin E., Felberg H.S., Digre H., Martinez I. Non-destructive nuclear magnetic resonance image study of belly bursting in herring (Clupea harengus). Food Chemistry 2007, 101:1562-1568.
83. 23Na magnetic resonance imaging of model foods. Journal of Agricultural and Food Chemistry 2009, 57:4091-4095.
84. Veliyulin E., Misimi E., Bondø M., Vebenstad P., Østvik S.O. A simple method for weight estimation of herring by planar X-ray imaging. Journal of Food Science 2011, 76(3):E328-E331.
85. Wallat G.K., Chapman F.A., Luzuriaga D.A., Balaban M.O. Analysis of skin color development in live goldfish using a color machine vision system. North American Journal of Aquaculture 2002, 64:79-84.
86. White D.J., Svellingen C., Strachan N.J.C. Automated measurement of species and length of fish by computer vision. Fisheries Research 2006, 80:203-210.
87. Wold J.P., Johansen I.-R., Haugholt K.H., Tschudi J., Thielemann J., Segtnan V.H., et al. Non-contact transflectance near infrared imaging for representative on-line sampling of dried salted coalfish (bacalao). Journal of Near Infrared Spectroscopy 2006, 14:59-66.
88. Yagiz Y., Balaban M.O., Kristinsson H., Welt B.A., Marshall M.R. Comparison of Minolta colorimeter and machine vision system in measuring colour of irradiated Atlantic salmon. Journal of the Science of Food and Agriculture 2009, 89(4):728-730.
89. Yagiz Y., Kristinsson H., Welt B.A., Balaban M.O., Ralat M., Marshall M.R. Effect of high pressure processing and cooking treatment on the quality of Atlantic salmon. Food Chemistry 2009, 116(4):828-835.
90. Yagiz Y., Kristinsson H., Welt B.A., Balaban M.O., Marshall M.R. Correlation between astaxanthin amount and a* value in fresh Atlantic salmon (Salmo salar) muscle during different irradiation doses. Food Chemistry 2010, 120(1):121-127.
91. Zheng C., Sun D.-W., Zheng L. Recent applications of image texture for evaluation of food qualities - a review. Trends in Food Science & Technology 2006, 17:113-128.
92. Zheng C., Sun D.-W., Zheng L. Recent developments and applications of image features for food quality evaluation and inspection - a review. Trends in Food Science & Technology 2006, 17:642-655.
93. Zion B., Alchanatis V., Ostrovskym V., Barki A., Karplus I. Real-time underwater sorting of edible fish species. Computers and Electronics in Agriculture 2007, 56:34-45.