Multivariate image regression

Quantitative Image Information Multivariate Image Regression (MIR) 77 2.5... 

Figure 2.6 Strategies of caiibration and prediction in multivariate image regression.

Yu HL, MacGregor JF. Multivariate image analysis and regression for prediction of coating content and distribution in the production of snack foods. Chemomet Intell Lab 2003 67 125. ... 

Multivariate analytical images may be processed additionally by chemo-metrical procedures, e.g., by exploratory data analysis, regression, classifica-tion> and principal component analysis (Geladi et al. [1992b]). 

Another method that can be used to quickly extract useful chemical information from an infrared image dataset is MCR 50-52,54,56-58 In some cases, this method can be used to obtain the concentration and absorbance spectra for each constituent in the original dataset. However, if the goal is not necessarily to resolve the constituents spectra, but rather to empirically classify them, a regression method may be more appropriate.53,59,60 The most prominent multivariate regression methods include PLS and ANNs. 

Kamruzzaman, M. et al. (2012) Nondestructive prediction and visualization of chemical composition in lamb meat using NIR hyperspectral imaging and multivariate regression. Innovative Food Sci. Emerg. Technol, 16, 218 —226. 

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