Preview
Unable to display preview. Download preview PDF.
11.2.6 Literatur
- 1.Völz HG (2001) Industrielle Farbprüfung, Wiley-VCH, WeinheimGoogle Scholar
- 2.Judd DB and Wyszecki G (1967) Color in Business, Science, and Industry. Wiley, New YorkGoogle Scholar
- 3.Clydesdale FM (1969). The measurement of color. Food Technol 23: (1969) 16–22Google Scholar
- 4.Clydesdale FM and Francis FJ (1969) Colorimetry of Foods. J of Food Sci 34: 349–352Google Scholar
- 5.Francis FJ and Clydesdale FM (1975) Food Colorimetry: Theory und Applications. AVI Westport, Conn.Google Scholar
- 6.Kortüm G (1969) Reflectance Spectroscopy, Principles, Methods, Applications. Springer-Verlag, New YorkGoogle Scholar
- 7.Gruenwedel DW, Whitaker JR (eds) (1984) Food analysis I, physical characterization. Marcel Decker, New YorkGoogle Scholar
- 8.Hunter R (1942) Photoelectric Tristimulus Colorimetry with Three Filters. Natl Bur Std Circ C429Google Scholar
- 9.Europäisches Arzneibuch (2003) Wiss Verlagsgesellschaft mbh, StuttgartGoogle Scholar
- 10.Froning GW (1995) Color of poultry meat. Poultry and Avian Biology Reviews 6: 83–93Google Scholar
- 11.Ahmad IS, Reid JF (1996) Evaluation of colour representations for maize images. J Agricultural Engineering Research 63: 185–195CrossRefGoogle Scholar
- 12.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: 263–271CrossRefGoogle Scholar
- 13.Sun DW (2000) Inspecting pizza topping percentage and distribution by a computer vision method. J Food Engineering 44: 245–249CrossRefGoogle Scholar
- 14.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: 53–59CrossRefGoogle Scholar
- 15.Yam KL, Papadakis SE (2004) A simple digital imaging method for measuring and analyzing color of food surfaces. J Food Engineering 61: 137–142CrossRefGoogle Scholar
- 16.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: 125–135CrossRefGoogle Scholar
- 17.Eger H, Hinz A (1996) Video image analysis of carcass quality. Trends in Food Science and Technology 7: 273CrossRefGoogle Scholar
- 18.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: 1–9CrossRefGoogle Scholar
- 19.Hepworth NJ, Hammond JRM, Varley J (2004) Novel application of computer vision to determine bubble size distributions in beer. J Food Engineering 61: 119–124CrossRefGoogle Scholar
- 20.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: 437–445CrossRefGoogle Scholar
- 21.Dervisi P, Lamb J, Zabetakis I (2001) High pressure processing in jam manufacture: effects on textural and colour properties. Food Chemistry 731: 85–91CrossRefGoogle Scholar
- 22.Hunter RS and Yeatmen JN (1961) Direct reading tomato colorimeter. J Opt Soc Am 51: 552–554CrossRefGoogle Scholar
- 23.Flint O (1994) Food Microscopy. Bios Scientific OxfordGoogle Scholar
11.3.4 Literatur
- 1.Berntsson O (2001) Characterization and application of near infrared reflection spectroscopy for quantitative process analysis of powder mixtures. Diss Kungl Högskolan StockholmGoogle Scholar
- 2.O’Neil AJ, Jee RD, Moffat AC (1999) Measurement of cumulative particle size distribution of microcrystalline cellulose using NIR spectroscopy. Analyst 124: 33–36CrossRefGoogle Scholar
- 3.Gehäuser Cl (1997) Aufbau und Auswertung von NIR-Datenbanken zur Identifizierung von Arzneistoffen. Dissertation Universität TübingenGoogle Scholar
- 4.Köstler M, Isengard HD (2001) Einsatzmöglichkeiten der NIR-Spektroskopie in der Qualitätssicheru von Lebensmitteln im Wareneingang. GIT — Labor-Fachzeitschrift 45: 520–523Google Scholar
- 5.Büning-Pfaue H (2003) Analysis of water in food by near infrared spectroscopy. Food Chemistry 82: 107–115CrossRefGoogle Scholar
- 6.Isengard HD (1999) Analytische Methoden zur Kontrolle des Verderbs von Frittierfetten. Proc. 57. Diskussionstagung FEI, Bonn, p 117–129Google Scholar
- 7.Wüst E, Rudzik L (2003) The Use of Infrared Spectroscopy in the Dairy Industry. J Molecular Structure 291: 661–662Google Scholar
- 8.Wählby U and Skjöldebrand C (2001) NIR-measurements of moisture changes in foods. Food Engineering 47: 303–312CrossRefGoogle Scholar
- 9.Miller WM, Zude M (2002) NIR-based sensing coupled with physical/color features to identify brix level of Florida citrus. ASAE Annual Meeting, ChigagoGoogle Scholar
- 10.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: 455–467CrossRefGoogle Scholar
- 11.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: 41–258CrossRefGoogle Scholar
- 12.O’Callaghan DJ, O’Donnell CP, Payne FA (2000) On-line sensing techniques for coagulum setting in renneted milks. J Food Engineering 43: 155–165CrossRefGoogle Scholar
- 13.Park B, Chen YR, Huffman RW (1996) Integration of visible/NIR spectroscopy and multispectral imaging for poultry carcass Inspection. J Food Engineering 30:197–207CrossRefGoogle Scholar
- 14.Steuer B, Schulz H, Läger E (2001) Classification and analysis of citrus oils by NIR spectroscopy. Food Chemistry 72: 113–117CrossRefGoogle Scholar
- 15.Guixing R, Feng C (1997) Determination of moisture content of ginseng by near infra-red reflectance spectroscopy. Food Chemistry 60: 433–436CrossRefGoogle Scholar
- 16.Patel AD, Luner PE, Kemper MS (2000) Quantitative analysis of polymorphism binary and multicomponent mixtures by near infrared reflectance spectroscopy. Int J Pharmacy 206: 63–74CrossRefGoogle Scholar
- 17.Herbert TV (2001) Evaluierung einer NIR-Methode zur on-line Qualitätssicherung von Pharmazeutika auf der Verpackungsstraße. Diss Universität TübingenGoogle Scholar
- 18.Haley TA, Smith RS (2003) Evaluation of in-line absorption photometry to predict consistency of concentrated tomato products. Lebensmittel Wissenschaft und Technologie 36: 159–164CrossRefGoogle Scholar
Copyright information
© Springer-Verlag Berlin Heidelberg 2004