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11.2.6 Literatur
Völz HG (2001) Industrielle Farbprüfung, Wiley-VCH, Weinheim
Judd DB and Wyszecki G (1967) Color in Business, Science, and Industry. Wiley, New York
Clydesdale FM (1969). The measurement of color. Food Technol 23: (1969) 16–22
Clydesdale FM and Francis FJ (1969) Colorimetry of Foods. J of Food Sci 34: 349–352
Francis FJ and Clydesdale FM (1975) Food Colorimetry: Theory und Applications. AVI Westport, Conn.
Kortüm G (1969) Reflectance Spectroscopy, Principles, Methods, Applications. Springer-Verlag, New York
Gruenwedel DW, Whitaker JR (eds) (1984) Food analysis I, physical characterization. Marcel Decker, New York
Hunter R (1942) Photoelectric Tristimulus Colorimetry with Three Filters. Natl Bur Std Circ C429
Europäisches Arzneibuch (2003) Wiss Verlagsgesellschaft mbh, Stuttgart
Froning GW (1995) Color of poultry meat. Poultry and Avian Biology Reviews 6: 83–93
Ahmad IS, Reid JF (1996) Evaluation of colour representations for maize images. J Agricultural Engineering Research 63: 185–195
Liao K, Paulsen MR, Reid JF (1994) Real-time detection of colour and surface defects of maize kernels using machine vision. J Agricultural Engineering Research 59: 263–271
Sun DW (2000) Inspecting pizza topping percentage and distribution by a computer vision method. J Food Engineering 44: 245–249
Krokida MK, Maroulis ZB, Saravacos GD (2001) The effect of the method of drying on the colour of dehydrated products. Int J Food Sci Tech 36: 53–59
Yam KL, Papadakis SE (2004) A simple digital imaging method for measuring and analyzing color of food surfaces. J Food Engineering 61: 137–142
Abdullah MZ, Guan LC, Lim KC, Karim AA (2004) The applications of computer vision system and tomographic radar imaging for assessing physical properties of food. J Food Engineering 61: 125–135
Eger H, Hinz A (1996) Video image analysis of carcass quality. Trends in Food Science and Technology 7: 273
Davenel A, Guizard C, Labarre T, Sevila F (1988) Automatic detection of surface defects on fruit by using a vision system. J Agricultural Engineering Research 41: 1–9
Hepworth NJ, Hammond JRM, Varley J (2004) Novel application of computer vision to determine bubble size distributions in beer. J Food Engineering 61: 119–124
Basset O, Buquet B, Abouelkaram S, Delachartre P, Culioli J (2000) Application of texture image analysis for the classification of bovine meat. Food Chemistry 69: 437–445
Dervisi P, Lamb J, Zabetakis I (2001) High pressure processing in jam manufacture: effects on textural and colour properties. Food Chemistry 731: 85–91
Hunter RS and Yeatmen JN (1961) Direct reading tomato colorimeter. J Opt Soc Am 51: 552–554
Flint O (1994) Food Microscopy. Bios Scientific Oxford
11.3.4 Literatur
Berntsson O (2001) Characterization and application of near infrared reflection spectroscopy for quantitative process analysis of powder mixtures. Diss Kungl Högskolan Stockholm
O’Neil AJ, Jee RD, Moffat AC (1999) Measurement of cumulative particle size distribution of microcrystalline cellulose using NIR spectroscopy. Analyst 124: 33–36
Gehäuser Cl (1997) Aufbau und Auswertung von NIR-Datenbanken zur Identifizierung von Arzneistoffen. Dissertation Universität Tübingen
Köstler M, Isengard HD (2001) Einsatzmöglichkeiten der NIR-Spektroskopie in der Qualitätssicheru von Lebensmitteln im Wareneingang. GIT — Labor-Fachzeitschrift 45: 520–523
Büning-Pfaue H (2003) Analysis of water in food by near infrared spectroscopy. Food Chemistry 82: 107–115
Isengard HD (1999) Analytische Methoden zur Kontrolle des Verderbs von Frittierfetten. Proc. 57. Diskussionstagung FEI, Bonn, p 117–129
Wüst E, Rudzik L (2003) The Use of Infrared Spectroscopy in the Dairy Industry. J Molecular Structure 291: 661–662
Wählby U and Skjöldebrand C (2001) NIR-measurements of moisture changes in foods. Food Engineering 47: 303–312
Miller WM, Zude M (2002) NIR-based sensing coupled with physical/color features to identify brix level of Florida citrus. ASAE Annual Meeting, Chigago
Bolliger S, Closs C, Zeng Y, Windhab E (1998) In-line use of near infrared spectroscopy to measure structure parameters of frozen model sorbet. J Food Engineering 38: 455–467
Guy RCE, Osborne BG, Robert P (1996) The application of near infrared reflectance spectroscopy to measure the degree of processing in extrusion cooking processes. J Food Engineering 27: 41–258
O’Callaghan DJ, O’Donnell CP, Payne FA (2000) On-line sensing techniques for coagulum setting in renneted milks. J Food Engineering 43: 155–165
Park B, Chen YR, Huffman RW (1996) Integration of visible/NIR spectroscopy and multispectral imaging for poultry carcass Inspection. J Food Engineering 30:197–207
Steuer B, Schulz H, Läger E (2001) Classification and analysis of citrus oils by NIR spectroscopy. Food Chemistry 72: 113–117
Guixing R, Feng C (1997) Determination of moisture content of ginseng by near infra-red reflectance spectroscopy. Food Chemistry 60: 433–436
Patel AD, Luner PE, Kemper MS (2000) Quantitative analysis of polymorphism binary and multicomponent mixtures by near infrared reflectance spectroscopy. Int J Pharmacy 206: 63–74
Herbert TV (2001) Evaluierung einer NIR-Methode zur on-line Qualitätssicherung von Pharmazeutika auf der Verpackungsstraße. Diss Universität Tübingen
Haley TA, Smith RS (2003) Evaluation of in-line absorption photometry to predict consistency of concentrated tomato products. Lebensmittel Wissenschaft und Technologie 36: 159–164
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(2004). Optische Eigenschaften. In: Lebensmittelphysik. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-34990-1_11
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DOI: https://doi.org/10.1007/3-540-34990-1_11
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