Multivariate image analysis

Artyushkova K, Fulghum JE (2002) Multivariate image analysis methods applied to XPS imaging data sets. Surface Interface Anal 33 185... 

Geladi P, Grahn H (1996) Multivariate image analysis. Wiley, Chichester... 

Geladi P, Grahn H, Esbensen K, Bengtsson E (1992b) Image analysis in chemistry. II. Multivariate image analysis. Trends Anal Chem 11 121... 

P. Geladi and H. Grahn, Multivariate Image Analysis, John Wiley Sons, Chichester, 1996. 

Multivariate Image Analysis Strong and Weak Multiway Methods Strong and weak -way methods analyze 3D and 2D matrices, respectively. Hyperspectral data cube structure is described using chemometric vocabulary [17]. A two-way matrix, such as a classical NIR spectroscopy data set, has two modes object (matrix lines) and V variables (matrix columns). Hyperspectral data cubes possess two object modes and one variable mode and can be written as an OOV data array because of their two spatial directions. 

Geladi, P. 8c Grahn, H., Multivariate Image Analysis John Wiley 8c Sons Chichester, 1996. 

Analytical Problem Solving Selection of Analytical Methods Multivariate Image Analysis Quality Assurance in Analytical Chemistry Quantitative Spectroscopic Calibration... 

Nattkemper, T.W. 2004. Multivariate image analysis in biomedicine. J. Biomed. Inform. 37 380-391. 

Paul Geladi, Multivariate Image Analysis in Chemistry and Related Areas Chemometric Image Analysis, Wiley, Chichester, 1996. 

Multivariate Image Analysis (MIA) and Principal Component Analysis (PCA)... 

Dunn, K.G. (2007) M.A.C.C. Multivariate Image Analysis (MACCMIA). Manual and Tutorial for Version 1.81. http //macc. mcmaster.ca (accessed 19 November 2008)... 

Figure 8.11 A multispectral wood image, (a) Pseudocolor image (b) Score plot (c) Multivariate image analysis (MIA) combined score image (d) Feedback Multivariate Model Selection (FEMOS) nine-class segmented image. Illustration reproduced from Ref [53].

The visualization of large data sets has special requirements. A typical example area is multivariate image analysis, especially in remote sensing, but hyperspectral imaging is also moving into other fields. Another is three-dimensional visualization of weather systems. 

Geladi P, Grahn H, Multivariate Image Analysis, in Encyclopedia of Analytical Chemistry, Meyers R (ed.), John Wiley Sons, Ltd, Chichester, 2000, pp. 13540-13562. 

Yu, H., and MacGregor, J. F. "Monitoring Flames in an Industrial Boiler Using Multivariate Image Analysis." American Institute of Chemical Engineering Journal 50 (2004) 1474-83. 

MIA multivariate image analysis MMA methyl methacrylate MSE multi-screw extruder... 

Lee, J.L.S., Gilmore, I.S., Fletcher, I.W., Seah, M.P. (2009) Multivariate image analysis strategies for ToF-SIMS images with topography. Surf. Interface Anal., 41, 653-665. 

IX. RAMAN IMAGE PROCESSING A. Multivariate Image Analysis... 

Raman chemical imaging is performed from 1260 to 1400 cm in order to differentiate CPO, EPR, and PP [52]. Even though the CPO Raman band at 1300 cm significantly overlaps the EPR band, it is sufficiently broad to be detected using multivariate image analysis techniques, including CCA. 

After Geladi and Grahn [13]. Reprinted from R Geladi etaL, Multivariate Image Analysis, Cr yright 1996 John WQey Sons, Limited. Reproduced with pmnission. 

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