Quality Evaluation of Fish by Hyperspectral Imaging

Hyperspectral Imaging for Food Quality Analysis and Control

Volumn , Issue , 2010, Pages 273-294

  Menesatti, Paolo ^a   Costa, Corrado ^a   Aguzzi, Jacopo ^b  

^a Unit of the Agriculture Research Council   (Italy)

^b INSTITUT DE CIÈNCIES DEL MAR   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 79960038885     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-0-12-374753-2.10008-5     Document Type: Chapter

References (57)

1. J. Aguzzi, C. Costa, F. Antonucci, J.B. Company, P. Menesatti and F. Sardá (2009) Influence of diel behaviour in the morphology of decapod natantia. Biological Journal of the Linnean Society 96 517-532.
2. C. Alasalvar, T. Garthwaite, M.N. Alexis and K. Grigorakis (2001) Freshness assessment of cultured sea bream (Sparus aurata) by chemical, physical and sensory methods. Food Chemistry 72 33-40.
3. C. Alasalvar, K.D.A. Taylor, A. Oksuz, F. Shahidi and M. Alexis (2002) Comparison of freshness quality of cultured and wild sea bass (Dicentrarchus labrax). Journal of Food Science 67 3220-3226.
4. F. Antonucci, C. Costa, J. Aguzzi and S. Cataudella (2009) Ecomorphology of morpho-functional relationships in the family of Sparidae: a quantitative statistic approach. Journal of Morphology 270 843-855.
5. V. Bellon, J.L. Vigneau and M. Leclercq (1993) Feasibility and performance of a new, multiplexed, fast and low-cost fiber-optic NIR spectrometer for the on-line measurement of sugars in fruits. Applied Spectroscopy 47(7), 1079-1083.
6. F.L. Bookstein (1991) Morphometric tools for landmark data. Cambridge, UK: Cambridge University Press
7. H. Chen and Y. He (2007) Theory and application of near infrared reflectance spectroscopy in determination of food quality. Trends in Food Science & Technology 18 72-83.
8. C. Costa, J. Aguzzi, P. Menesatti, F. Antonucci, V. Rimatori and M. Mattoccia (2008) Shape analysis of different populations of clams in relation to their geographical structure. Journal of Zoology 276 71-80.
9. C. Costa, C. Angelini, M. Scardi, P. Menesatti and C. Utzeri (2009) Using image analysis on the ventral colour pattern in Salamandrina perspicillata (Savi, 1821) (Amphibia, Salamandridae) to discriminate among populations. Biological Journal of the Linnean Society 96(1), 35-43.
10. C. Costa, P. Menesatti, J. Aguzzi, S. D'Andrea, F. Antonucci, V. Rimatori, P. Pallottino and M. Mattoccia (2009) External shape differences between sympatric populations of commercial clams Tapes decussatus and. T. philippinarum. Food and Bioprocess Technology doi: 10.1007/s11947–008–0068–8.
11. C. Costa, P. Menesatti, G. Paglia, F. Pallottino, J. Aguzzi, V. Rimatori and G. Reforgiato Recupero (2009) Quantitative evaluation of Tarocco sweet orange fruit shape using opto-electronic elliptic Fourier based analysis. Postharvest Biology and Technology 54 38.
12. C. Costa, E. Tibaldi, L. Pasqualetto and A. Loy (2006) Morphometric comparison of the cephalic region of cultured Acipenser baerii (Brandt, 1869), Acipenser naccarii (Bonaparte, 1836) and their hybrid. Journal of Ichthyology 22(1), 8-14.
13. D. Cozzolino, I. Murray and J.R. Scaife (2002) Near infrared reflectance spectroscopy in the prediction of chemical characteristics of minced raw fish. Aquaculture Nutrition 8 1-6.
14. G. ElMasry and J.P. Wold (2008) High-speed assessment of fat and water content distribution in fish fillets using online imaging spectroscopy. Journal of Agricultural and Food Chemistry 56(17), 7672-7677.
15. FAO Fisheries Department, Fishery Information, Data and Statistics Unit (2007) FISHSTAT Plus: Universal software for fishery statistical time series. Version 2.32.
16. M. Farzam, S. Beheshti and K. Raahemifar (2008) Calculation of abundance factors in hyperspectral imaging using genetic algorithm. Canadian Conference on Electrical and Computer Engineering 837-842.
17. A.A. Gowen, C.P. O'Donnell, P.J. Cullen, G. Downey and J.M. Frias (2007) Hyperspectral imaging: an emerging process analytical tool for food quality and safety control. Trends in Food Science & Technology 18 590-598.
18. Huss, H. H., (1995) Quality and quality changes in fresh fish. FAO Fisheries Technical Paper 348. http://www.fao.org/docrep/V7180E/V7180E00.HTM#Contents (accessed 26 January 2010).
19. A.C. Jason and J.C.S. Richards (1975) The development of an electronic fish freshness meter. Journal of Physics E: Scientific Instruments 8 826-830.
20. R. Karoui, R. Schoonheydt, E. Cecuypere, B. Nicolai and J. De Baedemaeker (2007) Front face fluorescence spectroscopy as a tool for the assessment of egg freshness during storage at a temperature of 12.2 degrees C and 87% relative humidity. Analytica Chimica Acta 582 83-91.
21. K. Katayama, K. Komaki and S. Tamiya (1996) Prediction of starch, moisture, and sugar in sweetpotato by near infrared transmittance. HortScience 31(6), 1003-1006.
22. S.J. Kays (1999) Preharvest factors affecting appearance. Postharvest Biology and Technology 15 233-247.
23. M.S. Kim, A.M. Lefcourt, K. Chao, Y.R. Chen, I. Kim and D.E. Chan (2002) Multispectral detection of fecal contamination on apples based on hyperspectral imagery. Part I: Application of visible and near-infrared reflectance imaging. Transactions of the ASAE 45(6), 2027-2037.
24. J. Knaflewska and E. Pospiech (2007) Quality assurance systems in food industry and health security of food. Acta Scientiarum Polonorum. Technologia Alimentaria 6(2), 75-85.
25. J. Lammertyn, B. Nicolaıi, K. Ooms, V. De Smedt and J. De Baerdemaeker (1998) Non-destructive measurement of acidity, soluble solids, and firmness of Jonagold apples using NIR-spectroscopy. Transactions of the ASAE 41(4), 1089-1094.
26. 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.
27. Y. Liu, Y.R. Chen, C.Y. Wang, D.E. Chan and M.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.
28. A. Loy, S. Busilacchi, C. Costa, L. Ferlin and S. Cataudella (2000) Comparing geometric morphometrics and outlines fitting methods to monitor fish shape variability of Diplodus puntazzo (Teleostea, Sparidae). Aquacultural Engineering 21(4), 271-283.
29. R. Lu and B. Park (2008) Hyperspectral and multispectral imaging for food quality and safety. Sensing and Instrumentation for Food Quality and Safety 2(3), 131-132.
30. J.A. Mathias, P.C. Williams and D.C. Sobering (1987) The determination of lipid and protein in freshwater fish by using nearinfrared reflectance spectroscopy. Aquaculture 61 303-311.
31. P.M. Mehl, K. Chao, M.S. Kim and Y.R. Chen (2002) Detection of contamination on selected apple cultivars using hyperspectral and multispectral image analysis. Applied Engineering in Agriculture 18(2), 219-226.
32. P. Menesatti, S. D'Andrea and C. Costa (2007) Spectral and thermal imaging for meat quality evaluation. C. Lazzaroni, S. Gigli, D. Gabina (Eds) New developments in evaluation of carcass and meat quality in cattle and sheep Wagening: Wageningen Academic Publishers, EAAP 123 115-134.
33. P. Menesatti, G. Paglia, S. Solaini, A. Zanella, R. Stainer, C. Costa and M. Cecchetti (2002) Non-linear multiple regression models to estimate the drop damage index of fruit. Biosystems Engineering 83(3), 319-326.
34. P. Menesatti, F. Pallottino, G. Lanza and G. Paglia (2009) Prediction of blood orange MT firmness by multivariate modelling of low alterative penetrometric data set: a preliminary study. Postharvest Biology and Technology 51 434-436.
35. P. Menesatti and G. Urbani (2004) Prediction of the chilling storage time of fresh salt-water fishes by soft modelling (PLS) of low-alterative penetrometric test. Oral presentation International and European Agricultural Engineering Conference—AgEng2004—Workshop “Physical Methods in Agriculture”, Leuven, Belgium, 12–16 September 2004. Book of abstracts 940-941.
36. P. Menesatti, G. Urbani, M. Millozza, S. D'Andrea, S. Solaini, G. Paglia and I. Niciarelli (2006) Prediction of the chilling storage time of fresh salt-water fishes by means of non-destructive techniques. Oral communication CIGR Section VI International Symposium on Future of Food Engineering. Warsaw: Poland 26–28 April 2006. Abstract 145
37. P. Menesatti, G. Urbani, F. Pallottino, S. D'Andrea and C. Costa (2007) Non-destructive multi-parametric instruments for fish freshness estimation. Instrumentation Viewpoint 6
38. P. Menesatti, A. Zanella, S. D'Andrea, C. Costa, G. Paglia and F. Pallottino (2009) Supervised multivariate analysis of hyperspectral NIR images to evaluate the starch index of apples. Food and Bioprocess Technology 2(3), 308-314.
39. T. Nicosevici, R. Garcia and N. Gracias (2007) Identification of geometrically consistent interest points for the 3D scene reconstruction. Instrumentation Viewpoint 6
40. R. Nortvedt, O.J. Torrissen and S. Tuene (1998) Application of near infrared transmittance spectroscopy in the determination of fat, protein, dry matter in Atlantic halibut fillets. Chemometrics and Intelligent Laboratory Systems 42 199-207.
41. E. Orban, G. Di Lena, T. Nevigato, I. Casini, G. Santaroni, A. Marxetti and R. Caproni (2002) Quality characteristics of sea bass intensively reared and from a lagoon as affected by growth conditions and the aquatic environment. Journal of Food Science 67 542-546.
42. B. Park, K.C. Lawrence, W.R. Windham and D. Smith (2006) Performance of hyperspectral imaging system for poultry surface fecal contaminant detection. Journal of Food Engineering 75(3), 340-348.
43. 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/CSAE Meeting, Ottawa, Ontario, Canada, ASAE Paper No. 043032.
44. A. Peirs, N. Scheerlinck, A.B. Perez, P. Jancsok and B.M. Nicolai (2002) Uncertainty analysis and modelling of the starch index during apple fruit maturation. Postharvest Biology and Technology 26(2), 199-207.
45. G. Polder, G. Heijden and I. Young (2002) Spectral image analysis for measuring ripeness of tomatoes. Transactions of the ASAE 45 1155-1161.
46. F.J. Rohlf (1999) Shape statistics: Procrustes superimpositions and tangent spaces. Journal of Classification 16 197-223.
47. F.J. Rohlf and F.L. Bookstein (1990) Proceedings of the Michigan morphometric workshop. Special Publication No. 2. Ann Arbor, MI: University of Michigan Museum of Zoology
48. F.J. Rohlf and D. Slice (1990) Extensions of the Procrustes method for the optimal superimposition of landmarks. Systematic Zoology 39 40-59.
49. R. Sabatier, M. Vivein, P. Amenta (2003) Two approaches for discriminant partial least square. M. Schader, et al., (Eds) Between data science and applied data analysis Berlin: Springer
50. S. Sigurgisladottir, H. Hafsteinsson, A. Jonsson, O. Lie, R. Nortvedt, M. Thomassen and O. Torrissen (1999) Textural properties of raw salmon fillets as related to sampling method. Journal of Food Science 64 99-104.
51. M. Sjöström, S. Wold and B. Söderström (1986) PLS discrimination plots. E.S. Gelsema, L.N. Kanals (Eds) Pattern recognition in practice II Amsterdam: Elsevier
52. C. Solberg and G. Fredriksen (2001) Analysis of fat and dry matter in capelin by near infrared transmission spectroscopy. Journal of Near Infrared Spectroscopy 9 221-228.
53. D'A.W. Thompson (1917) On growth and form. London: Cambridge University Press
54. J.P. Wold, I.R. Johansen, K.H. Haugholt, J. Tschudi, J. Thielemann, V.H. Segtnan, B. Narum and E. Wold (2006) Non-contact transflectance near infrared imaging for representative on-line sampling of dried salted coalfish (bacalao). Journal of Near Infrared Spectroscopy 14(1), 59-66.
55. G.A. Xiccato, F. Trocino and E. Tulli and Tibaldi (2004) Prediction of chemical composition and origin identification of European sea bass (Dicentrarchus labrax L.) by near infrared reflectance spectroscopy (NIRS). Food Chemistry 86 275-281.
56. C.C. Yang, Y.R. Chen and K. Chao (2005) Development of multispectral image processing algorithms for identification of wholesome, septicemic, and inflammatory process chickens. Journal of Food Engineering 69(2), 225-234.
57. M.L. Zelditch, D.L. Swiderski, H.D. Sheets and W.L. Fink (2004) Geometric morphometrics for biologists: a primer. San Diego, CA: Elsevier Academic Press