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Multivariate image construction

Figure 6.1 Schematic showing steps in the construction of 3-D FT-IR multivariate images. Figure 6.1 Schematic showing steps in the construction of 3-D FT-IR multivariate images.
W. Ye, A. Entezari, A geometric construction of multivariate sine functions. IEEE Tians. Image Processing 19(12) (2011)... [Pg.74]

When the peak of interest is strong and is not overlapped by other spectral features, data analyses are straightforward and individual wavelength-specific images can be constructed (18), In most cases, the sample complexity and, therefore, that of the spectrum, requires a more rigorous approach to data analyses which is facilitated by multivariate analytical techniques, e.g., cluster analysis, hierarchical analysis and the like that yield high quality detailed images which can reveal anatomical features of interest (18, 19). [Pg.67]


See other pages where Multivariate image construction is mentioned: [Pg.205]    [Pg.209]    [Pg.205]    [Pg.209]    [Pg.217]    [Pg.229]    [Pg.204]    [Pg.3]    [Pg.201]    [Pg.463]    [Pg.354]    [Pg.192]    [Pg.208]    [Pg.86]    [Pg.442]   
See also in sourсe #XX -- [ Pg.205 ]




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Multivariate image

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