Spectroscopic Imaging

Comprehensive Chemometrics

Volumn 4, Issue , 2009, Pages 173-196

  Fernandez Pierna, J A ^a   Baeten, V ^a   Dardenne, P ^a   Dubois, J ^b   Lewis, E N ^b   Burger, J ^c  

^a WALLOON AGRICULTURAL RESEARCH CENTRE   (Belgium)

^b Malvern Instruments Inc   (United States)

^c BurgerMetrics SIA   (Latvia)

Author keywords

Agrofood; Chemical imaging; Chemometrics; Hyperspectral imaging; Imaging; NIR; Pharmaceuticals

Indexed keywords

EID: 84879826874     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-044452701-1.00004-1     Document Type: Chapter

References (50)

1. Baeten V., Dardenne P. Applications of Near-Infrared Imaging for Monitoring Agricultural Food and Feed Products. Spectrochemical Analysis Using Infrared Multichannel Detectors 2005, Blackwell Publishing Ltd, Oxford, UK. R. Bhargava, I.W. Levin (Eds.).
2. Techniques and Applications of Hyperspectral Image Analysis 2005, John Wiley & Sons Ltd, Chichester, UK. H.F. Grahn, P. Geladi (Eds.).
3. Lyon R.C., Lester D.S., Lewis E.N., Lee E., Yu L.X., Jefferson E.H., Hussain A.S. Near-Infrared Spectral Imaging for Quality Assurance of Pharmaceutical Products: Analysis of Tablets to Assess Powder Blend Homogeneity. AAPS PharmSciTech 2002, 3(3). article 17.
4. Reich G. Near-Infrared Spectroscopy and Imaging: Basic Principles and Pharmaceutical Applications. Adv. Drug Deliv. Rev. 2005, 57:1109-1143.
5. Lu R. Detection of Bruises on Apples Using Near-Infrared Hyperspectral Imaging. Trans. ASAE 2003, 46(2):523-530.
6. Mehl P.M., Chao K., Kim M., Chen Y.R. Detection of Defects on Selected Apple Cultivars Using Hyperspectral and Multispectral Image Analysis. Appl. Eng. Agric. 2002, 18(2):219-226.
7. Fernández Pierna J.A., Baeten V., Michotte Renier A., Cogdill R.P., Dardenne P. Combination of Support Vector Machines (SVM) and Near Infrared (NIR) Imaging Spectroscopy for the Detection of Meat and Bone Meat (MBM) in Compound Feeds. J. Chemom. 2004, 18:341-349.
8. Fernández Pierna J.A., Baeten V., Dardenne P. Screening of Compound Feeds Using NIR Hyperspectral Data. Chemom. Intell. Lab. Syst. 2006, 84:114-118.
9. Veronin M.A., Youan B.-B.C. Magic Bullet Gone Astray: Medications and the Internet. Science 2004, 305:481.
10. Dubois J., Wolff J.-C., Warrack J.K., Schoppelrei J., Lewis E.N. NIR Chemical Imaging for Counterfeit Pharmaceutical Products Analysis. Spectroscopy 2007, 22(2):40-50.
11. Lee E., Huang W.X., Chen P., Lewis E.N., Vivilecchia R.V. High-Throughput Analysis of Pharmaceutical Tablet Content Uniformity by Near-Infrared Chemical Imaging. Spectroscopy 2005, 21(11):25-32.
12. Lewis E.N., Schoppelrei J., Lee E. Near-Infrared Chemical Imaging and the PAT Initiative. Spectroscopy 2004, 19(4):22-31.
13. Tsai F., Lin E.K., Yoshino K. Spectrally Segmented Principal Component Analysis of Hyperspectral Imagery for Mapping Invasive Plant Species. Int. J. Remote Sens. 2007, 28(5):1023-1039.
14. Savitzky A., Golay M. Smoothing and Differentiation of Data by Simplified Least Squares Procedures. Anal. Chem. 1964, 36:1627-1639.
15. Dardenne P., Cowe I., Berzaghi P., Flinn P.C., Lagerholm M., Shenk J.S., Westerhaus M. Standardisation of Near Infrared Instruments, Influence of the Calibration Methods and the Size of the Cloning Set. Near Infrared Spectroscopy: Proceedings of the 10th International Conference 2001, 23-28. NIR Publications, Norwich, UK. A.M.C. Davies, R.K. Cho (Eds.).
16. Wang Y., Veltkamp D., Kowalski B. Multivariate Instrument Standardization. Anal. Chem. 1991, 63:2750-2756.
17. Wang Y., Kowalski B. Calibration Transfer and Measurement Stability of Near-Infrared Spectrometers. Appl. Spectrosc. 1992, 46:764-771.
18. Kubelka P., Munk F. Ein Beitrag zur Optik der Far-banstriche. Z. Tech. Physik 1931, 12:593-604.
19. Hopkins D. Derivatives in Spectroscopy. Near Infrared Anal. 2001, 2:1-13.
20. Giesbrecht F., McClure W., Hamid A. The Use of Trigonometric Polynomials to Approximate Visible and Near Infrared Spectra of Agricultural Products. Appl. Spectrosc. 1981, 35:210-214.
21. Norris K., Williams P. Optimization of Mathematical Treatments of Raw Near-Infrared Signal in the Measurement of Protein in Hard Red Spring Wheat, I. Influence of Particle Size. Cereal Chem. 1984, 61:158-165.
22. Martens H., Jensen S., Geladi P. Multivariate Linearity Transformations for Near-Infrared Spectrometry. Proceedings of the Nordic Symposium on Applied Statistics 1983, 205-233. Stokkand Forlag, Stavanger. O. Christie (Ed.).
23. Geladi P., McDougall D., Martens H. Linearization and Scatter-Correction for Near-Infrared Reflectance Spectra of Meat. Appl. Spectrosc. 1985, 39:491-500.
24. Isaksson T., Kowalski B. Piece-Wise Multiplicative Scatter Correction Applied to Near-Infrared Diffuse Transmittance Data from Meat Products. Appl. Spectrosc. 1993, 47:702-709.
25. Barnes R., Dhanoa M., Lister S. Standard Normal Variate Transformation and Detrending of Near Infrared Diffuse Reflectance. Appl. Spectrosc. 1989, 43:772-777.
26. Dhanoa M., Lister S., Sanderson R., Barnes R. The Link between Multiplicative Scatter Correction (MSC) and Standard Normal Variate (SNV) Transformations of NIR Spectra. J. Near Infrared Spectrosc. 1994, 2:43-47.
27. Massart D.L.M., Vandeginste B.G.M., Buydens L.M.C., De Jong S., Lewi J.P., Smeyers-Verbeke J. Chemometrics: A Textbook 1988, Vol. 2. Elsevier, Amsterdam.
28. Vandeginste B.G.M., Massart D.L., Buydens L.M.C., De Jong S., Lewi P.J., Smeyers-Verbeke J. Analysis of Measurement Tables In Handbook of Chemometrics and Qualimetrics: Part B 1998, 87-160. Elsevier, Amsterdam, The Netherlands, Chapter 31. B.G.M. Vandeginste, S.C. Rutan (Eds.).
29. Burger J., Geladi P. Hyperspectral NIR Image Regression Part I: Calibration and Correction. J. Chemom. 2005, 19:355-363.
30. Cheng X., Chen Y.R., Tao Y., Wang C.Y., Kim M.S., Lefcourt A.M. A Novel Integrated PCA and FLD Method on Hyperspectral Image Feature Extraction for Cucumber Chilling Damage Inspection. Trans. ASAE 2004, 47(4):1313-1320.
31. Martens H., Naes T. Multivariate Calibration 1989, Vol. 1. Wiley, Chichester, UK. 2nd ed.
32. Despagne F., Massart D.L. Tutorial Review: Neural Networks in Multivariate Calibration Analyst 1998, 123:157R-178R.
33. Codgill R.P., Dardenne P. Least-Squares Support Vector Machines for Chemometrics: An Introduction and Evaluation. J. Near Infrared Spectrosc. 2004, 12(1):93-100.
34. Dardenne P., Fernández Pierna J.A. Soil Parameter Quantification by NIRS as a Chemometric Challenge at 'Chimiométrie 2006'. Chemom. Intell. Lab. Syst. 2008, 91:94-98.
35. De la Haba M.J., Fernández Pierna J.A., Fumière O., Garrido-Varo A., Guerrero J.E., Pérez-Marín D.C., Dardenne P., Baeten V. Discrimination of the Class Origin of Bones Present in the Sediment Fraction of Animal By-Products Using Near Infrared Microscopy (NIRM). Proceedings of the NIR2005. Near Infrared Spectroscopy: Proceedings of the 12th International Conference 2006, NIR Publications, New Zealand, Near Infrared Spectroscopy Society Incorporated, New Zealand. G.R. Burling-Claridge, S.E. Holroyd, R.M.W. Sumner (Eds.).
36. Fernández Delgado M., Carrion Pardo P., Cernadas García E., Gálvez Gálvez J.F., Sá Otero P. Improved Classification of Pollen Texture Images Using SVM and MLP. 3rd IASTED International Conference on Visualization, Imaging and Image Processing (VIIP2003) 2003, Vol. 2:686-691. Benidorm, Spain. M.H. Hamza (Ed.).
37. Polder, G.; van der Heijden, G. W. A. M.; Young, I. T. Hyperspectral Image Analysis for Measuring Ripeness of Tomatoes. Presented at the 2000 ASAE International Meeting, Paper Number 003089, Milwaukee, WI, July 9-12, 2000.
38. Polder G., van der Heijden G.W.A.M., Young I.T. Spectral Image Analysis for Measuring Ripeness of Tomatoes. Trans. ASAE 2002, 45(4):1155-1161.
39. Polder G., van der Heijden G.W.A.M., Young I.T. Tomato Sorting Using Independent Component Analysis on Spectral Images. Real-Time Imaging 2003, 9:253-259.
40. Peirs A., Scheerlinck N., De Baerdemaeker J., Nicolaï B.M. Starch Index Determination of Apple Fruit by Means of a Hyperspectral Near Infrared Reflectance Imaging System. J. Near Infrared Spectrosc. 2003, 11:379-389.
41. Lawrence K.C., Windham W.R., Park B., Buhr R.J. A Hyperspectral Imaging System for Identification of Faecal and Ingesta Contamination on Poultry Carcasses. J. Near Infrared Spectrosc. 2003, 11:269-281.
42. Chao K., Mehl P.M., Chen Y.R. Use of Hyper- and Multi-Spectral Imaging for Detection of Chicken Skin Tumors. Appl. Eng. Agric. 2002, 18(1):113-119.
43. Mehl P.M., Chen Y.R., Kim M.S., Chan D.E. Development of Hyperspectral Imaging Technique for the Detection of Apple Surface Defects and Contaminations. J. Food Eng. 2004, 61(1):67-81.
44. Smail V.W., Fritz A.K., Wetzel D.L. Chemical Imaging of Intact Seeds with NIR Focal Plane Array Assists Plant Breeding. Vib. Spectrosc. 2006, 42:215-221.
45. Weinstock B.A., Janni J., Hagen L., Wright S. Prediction of Oil and Oleic Acid Concentrations in Individual Corn ( Zea mays L.) Kernels Using Near-Infrared Reflectance Hyperspectral Imaging and Multivariate Analysis. Appl. Spectrosc. 2006, 60(1):9-16.
46. Codgill R.P., Hurburgh C.R., Rippke G.R. Single Kernel Maize Analysis by Near-Infrared Hyperspectral Imaging. Trans. ASABE 2004, 47(1):311-320.
47. Stevermer, S. W.; Steward, B. L.; Codgill, R. P.; Hurburgh, C. R. Automated Sorting and Single Kernel Analysis by Near-Infrared Hyperspectral Imaging. Presented at the 2003 ASAE International Meeting, Paper Number 036159, Las Vegas, NV, USA, July 27-30; American Society of Agricultural and Biological Engineers: St. Joseph, MI, USA, 2003.
48. Gorretta N., Roger J.M., Aubert M., Bellon-Maurel V., Campan F., Roumet P. Determining Vitreousness of Durum Wheat Kernels Using Near Infrared Hyperspectral Imaging. J. Near Infrared Spectrosc. 2006, 14:231-239.
49. Russ J.C. The Image Processing Handbook 1999, CRC Press LLC, Boca Raton, Florida, 771 p. 3rd ed.
50. Naes T., Isaksson T., Fearn T., Davies T. A User Friendly Guide to Multivariate Calibration and Classification 2002, NIR Publications, Chichester, UK.