Pre-processing of hyperspectral images. Essential steps before image analysis

Chemometrics and Intelligent Laboratory Systems

Volumn 117, Issue , 2012, Pages 138-148

  Vidal, Maider ^a,b,c   Amigo, José Manuel ^c  

^a UNIVERSITY OF THE BASQUE COUNTRY UPV EHU   (Spain)

^b BASQUE FOUNDATION FOR SCIENCE   (Spain)

^c UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Background removal; Hyperspectral; Near Infrared; Pre processing; Raman; Spikes; Wavelets

Indexed keywords

IBUPROFEN;

ARTICLE; BARLEY; CHEMICAL ANALYSIS; COOLING SYSTEM; DATA ANALYSIS; FOOD ANALYSIS; HYPERSPECTRAL IMAGING; ILLUMINATION; IMAGE ANALYSIS; IMAGE COMPRESSION; IMAGE PROCESSING; IMAGE QUALITY; INFRARED SPECTROSCOPY; LABORATORY DEVICE; PRIORITY JOURNAL; SPECTROSCOPY; TABLET;

EID: 84867231183     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2012.05.009     Document Type: Article

References (68)

1. Griffiths P.R. Imaging and Raman instrumentation for mapping and imaging. Infrared and Raman Spectroscopic Imaging 2011, 3-62. Wiley VCH Verlag GmbH&Co. KGaA, Weinheim. R. Salzer, H.W. Siesler (Eds.).
2. 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.
3. Bellon-Maurel V., Dubois J. Near-infrared hyperspectral imaging in food and agricultural sciences. Infrared and Raman Spectroscopic Imaging 2009, 259-294. Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim. R. Salzer, H.W. Siesler (Eds.).
4. Russ J.C. Stereology. Image Analysis of Food Microstructure 2005, CRC Press LLC, Boca Raton.
5. Amigo J.M., Cruz J., Bautista M., Maspoch S., Coello J., Blanco M. Study of pharmaceutical samples by NIR chemical-image and multivariate analysis. TrAC-Trends in Analytical Chemistry 2008, 27:696-713.
6. Gowen A.A., O'Donnell C.P., Cullen P.J., Bell S.E.J. Recent applications of chemical imaging to pharmaceutical process monitoring and quality control. European Journal of Pharmaceutics and Biopharmaceutics 2008, 69:10-22.
7. Roggo Y., Chalus P., Maurer L., Lema-Martinez C., Edmond A., Jent N. A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies. Journal of Pharmaceutical and Biomedical Analysis 2007, 44:683-700.
8. Amigo J.M. Practical issues of hyperspectral imaging analysis of solid dosage forms. Analytical and Bioanalytical Chemistry 2010, 398:93-109.
9. Nattkemper T.W. Multivariate image analysis in biomedicine. Journal of Biomedical Informatics 2004, 37:380-391.
10. Prats-Montalban J.M., Ferrer A. Integration of colour and textural information in multivariate image analysis: defect detection and classification issues. Journal of Chemometrics 2007, 21:10-23.
11. Vidal M., Amigo J.M., Bro R., van den Berg F., Ostra M., Ubide C. Image analysis for maintenance of coating quality in nickel electroplating baths - real time control. Analytica Chimica Acta 2011, 706:1-7.
12. Prats-Montalban J.M., de Juan A., Ferrer A. Multivariate image analysis: a review with applications. Chemometrics and Intelligent Laboratory Systems 2011, 107:1-23.
13. Cairos C., Amigo J.M., Watt R., Coello J., Maspoch S. Implementation of enhanced correlation maps in near infrared chemical images: application in pharmaceutical research. Talanta 2009, 79:657-664.
14. Amigo J.M., Ravn C., Gallagher N.B., Bro R. A comparison of a common approach to partial least squares-discriminant analysis and classical least squares in hyperspectral imaging. International Journal of Pharmaceutics 2009, 373:179-182.
15. Amigo J.M., Ravn C. Direct quantification and distribution assessment of major and minor components in pharmaceutical tablets by NIR-chemical imaging. European Journal of Pharmaceutical Sciences 2009, 37:76-82.
16. Ravn C., Skibsted E., Bro R. Near-infrared chemical imaging (NIR-CI) on pharmaceutical solid dosage forms-comparing common calibration approaches. Journal of Pharmaceutical and Biomedical Analysis 2008, 48:554-561.
17. Schmalzl Using standard image compression algorithms to store data from computacional fluid dynamics. Computer & Geosciences 2003, 29:1021-1031.
18. Abrahamsson C., Johansson J., Spáren A., Lindgren F. Comparison of different variable selection methods conducted on NIR transmission measurements on intact tablets. Chemometrics and Intelligent Laboratory Systems 2003, 69:3-12.
19. Leardi R. Genetic algorithms in chemometrics and chemistry: a review. Journal of Chemometrics 2001, 15:559-569.
20. Osborne S.D., Jordan R.B., Künnemeyer R. Method of wavelength selection for partial least squares. Analyst 1997, 122:1531-1537.
21. Srinivas Y., Wilson D.L. Quantitative image quality evaluation of pixel-binning in a flat-panel detector for x-ray fluoroscopy. Medical Physics 2004, 31:131-141.
22. de Juan A., Maeder M., Hancewicz T., Duponchel L., Tauler R. Chemometric tools for image analysis. Infrared and Raman Spectroscopic Imaging 2011, 65-109. Wiley VCH Verlag GmbH&Co. KGaA, Weinheim. R. Salzer, H.W. Siesler (Eds.).
23. Gao R.X., Yan R. From Fourier transform to wavelet transform: a historical perspective. Wavelets: Theory and Applications for Manufacturing 2011, 17-31. Springer, New York.
24. Wentzell P.D., Brown C.D. Signal processing in analytical chemistry. Encyclopedia of Analytical Chemistry 2011, 9764-9800. John Wiley&Sons Ltd., Chichester. R.A. Meyers (Ed.).
25. Sethi N., Krishna R., Arora R.P. Image compression using Haar wavelet transform. Computer Engineering and Intelligent Systems 2011, 2:1-5.
26. Lian Q., Shen L., Xu Y., Yang L. Filters of wavelets on invariant sets for image denoising. Applicable Analysis 2011, 90:1299-1322.
27. Trygg J., Kettaneh-Wold N., Wallbacks L. 2D wavelet analysis and compression of on-line industrial process data. Journal of Chemometrics 2001, 15:299-319.
28. Chen G., Harrington P. SIMPLISMA applied to two-dimensional wavelet compressed ion mobility spectrometry data. Analytica Chimica Acta 2003, 484:75-91.
29. Vogt F., Banerji S., Booksh K. Utilizing three-dimensional wavelet transforms for accelerated evaluation of hyperspectral image cubes. Journal of Chemometrics 2004, 18:350-362.
30. Fowler J.E., Rucker J.T. Three-dimensional wavelet-based compression of hyperspectral imagery. Hyperspectral Data Exploitation. Theory and Applications 2011, 379-408. John Wiley & Sons, Inc., Hoboken. C.-I. Chang (Ed.).
31. Daubechies I. Ten lectures on waveletes. Ten Lectures on Waveletes 2011, 1-341. Society for Industrial and Applied Mathematics, Philadelphia.
32. Firtha F., Fekete A., Kaszab T., Gillay B., Nogula-Nagy M., Kovacs Z., Kantor D.B. Methods for improving image quality and reducing data load of NIR hyperspectral images. Sensors 2008, 8:3287-3298.
33. Burger J., Geladi P. Hyperspectral NIR image regression part 1: calibration and correction. Journal of Chemometrics 2005, 19:355-363.
34. Vankeerberghen P., Smeyers-Verbeke J., Leardi R., Karr C.L., Massart D.L. Robust regression and outlier detection for non-linear models using genetic algorithms. Chemometrics and Intelligent Laboratory Systems 1995, 28:73-87.
35. Walczak B. Outlier detection in multivariate calibraton. Chemometrics and Intelligent Laboratory Systems 1995, 28:259-272.
36. Cho J., Gemperline P.J. Pattern recognition analysis of near-infrared spectra by robust distance method. Journal of Chemometrics 1995, 9:169-178.
37. Zhang L., Henson M.J. A practical algorithm to remove cosmic spikes in Raman imaging data for pharmaceutical applications. Applied Spectroscopy 2007, 61:1015-1020.
38. Ehrentreich F., Summchen L. Spike removal and denoising of Raman spectra by wavelet transform methods. Analytical Chemistry 2001, 73:4364-4373.
39. Nenadic Z., Burdick J.W. Spike detection using the continuous wavelet transform. IEEE Transactions on Biomedical Engineering 2005, 52:74-87.
40. Behrend C.J., Tarnowski C.P., Morris M.D. Identification of outliers in hyperspectral Raman image data by nearest neighbor comparison. Applied Spectroscopy 2002, 56:1458-1461.
41. Cannistraci C.V., Montevecchi F.M., Alessio M. Median-modified Wiener filter provides efficient denoising, preserving spot edge and morphology in 2-DE image processing. Proteomics 2009, 9:4908-4919.
42. Koshino K., Zuo H.Y., Saito N., Suzuki S. Improved spike noise removal in the scanning laser microscopic image of diamond abrasive grain using wavelet transforms. Optics Communications 2004, 239:67-78.
43. Du P., Kibbe W.A., Lin S.M. Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching. Bioinformatics 2006, 22:2059-2065.
44. Feuerstein D., Parker K.H., Boutelle M.G. Practical methods for noise removal: applications to spikes, nonstationary quasi-periodic noise, and baseline drift. Analytical Chemistry 2009, 81:4987-4994.
45. Casalegno M., Sello G., Benfentai E. Definition and detection of outliers in chemical space. Journal of Chemical Information and Modeling 2008, 48:1592-1601.
46. Mark H.L., Tunnell D. Qualitative near-infrared reflectance analysis using Mahalanobis distances. Analytical Chemistry 1985, 57:1449-1458.
47. Rowsseeuw P.J. Multivariate estimation with high breakdown point. Mathematical statistics and applications 1985, Vol. B:283-297. Reidel, Dordrecht. W. Grossmann, G. Pflug, I. Vincze, W. Wertz (Eds.).
48. Rowsseeuw P.J., Driessen K.V. A fast algorithm for the minimum covariance determinant estimator. Technometrics 1999, 41:212-223.
49. Smetek T.E., Bauer K.W. A comparison of multivariate outlier detection methods for finding hyperspectral anomalies. Military Operations Research 2008, 13:19.
50. Kerekes J.P., Manolakis D. Improved modeling of background distributions in an end-to-end spectral imaging system model. Proceedings of the 2004 IEEE International Geoscience and Remote Science Symposium 2004, 2:972-975.
51. Malonakis D., Rossacci M., Cipar J., Lockwood R., Cooley T., Jacobson J. Statistical characterization of natural hyperspectral backgrounds using t-elliptically contoured distributions. Proceedings of SPIE 2005, 5806:56.
52. Taghizadeh M., Gowen A.A., O'Donnell C.P. The potencial of visible-near infrared hyperspectral imaging to discriminate between casing soil, enzymatic browning and undamaged tissue on mushrooms (Agaricus bisporus) surfaces. Computers and Electronics in Agriculture 2011, 77:74-80.
53. Rinnan Å., van den Berg F., Engelsen S.B. Review of the most common pre-processing techniques for near-infrared spectra. TrAC - Trends in Analytical Chemistry 2009, 28(10):1201-1222.
54. Martens H., Næs T. Pretreatment and linearization. Multivariate Calibration 2011, 314-356. John Wiley&Sons Ltd.
55. de Juan A., Tauler R., Dyson R., Marcolli C., Rault M., Maeder M. Spectroscopic imaging and chemometrics: a powerful combination for global and local sample analysis. TrAC-Trends in Analytical Chemistry 2004, 23:70-79.
56. Piqueras S., Duponchel L., Tauler R., de Juan A. Resolution and segmentation of hyperspectral biomedical images by multivariate curve resolution-alternating least squares. Analytica Chimica Acta 2011, 705:182-192.
57. Cruz J., Bautista M., Amigo J.M., Blanco M. Nir-chemical imaging study of acetylsalicylic acid in commercial tablets. Talanta 2009, 80:473-478.
58. Torres I.C., Amigo J.M., Ipsen R. Using fractal image analysis to characterize microstructure of low-fat stirred yoghurt manufactured with microparticulated whey protein. Journal of Food Engineering 2012, 109:721-729.
59. Russ J.C. Image Analysis of Food Microstructure 2005, CRC Press, Boca Raton.
60. Smith J.R., Larson C., Campbell S.A. Recent applications of SEM and AFM for assessing topography of metal and related coatings - a review. Transactions of the Institute of Metal Finishing 2011, 89:18-27.
61. Miyazaki T., Oshida K., Endo M., Dresselhaus M.S. Application of image analysis for TEM image of acceptor graphite intercalation compound. Molecular Crystals and Liquid Crystals 2000, 340:241-246.
62. Kassner A., Thornhill R.E. Texture analysis: a review of neurologic MR imaging applications. American Journal of Neuroradiology 2010, 31:809-816.
63. de Ryk J., Namati E., Thiesse J., McLennan G. New imaging approaches for understanding lung cancer response to treatment. Clinical Pharmacology and Therapeutics 2008, 84:517-522.
64. Infrared and Raman Spectroscopic Imaging 2011, Wiley VCH Verlag GmbH&Co. KGaA, Weinheim. R. Salzer, H.W. Siesler (Eds.).
65. Drake N.A., Mackin S., Settle J.J. Mapping vegetation, soils, and geology in semiarid shrublands using spectral matching and mixture modeling of SWIR AVIRIS imagery. Remote Sensing of Environment 1999, 68:12-25.
66. Ferguson B., Zhang X.C. Materials for terahertz science and technology. Nature Materials 2002, 1:26-33.
67. Noh N.K., Lu R. Hyperspectral laser-induced fluorescence imaging for assessing apple fruit quality. Postharvest Biology and Technology 2007, 43:193-201.
68. Escoriza M.F., VanBriesen J.M., Stewart S., Maier J., Treado P.J. Raman spectroscopy and chemical imaging for quantification of filtered waterbone bacteria. Journal of Microbiological Methods 2006, 66:63-72.