An introduction to the chemometric technique of multi-variate image analysis and its applications in chemistry. The technique provides the user with statistical data structure and geometrical structure elements from the measurement of physical and chemical interactions, and is applied in many areas of process control in the food, chemical and textile industries. The book begins by introducing the reader to the basic ideas and principles necessary for understanding later chapters, which include discussions of magnetic resonance imaging, principal component analysis, and the pre-processing and transformation of images. It includes multivariate treatment of images, discusses visualization of multivariate space and explains interactive strategies and their background calculations.
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