Image analysis in chemistry I. Properties of images, greylevel operations, the multivariate image

Authors
Paul L. M. Geladi, Ewert Bengtsson, Kim H. Esbensen and Hans Grahn
Published
1992
DOI
10.1016/0165-9936(92)80118-P
Citation
Geladi et al.: "Image analysis in chemistry I. Properties of images, greylevel operations, the multivariate image", TrAC Trends in Analytical Chemistry, 11, 41-53, 1992.
Abstract
The use of imaging and images in chemical and technological applications is treated in two parts. Part I focuses on the generation and properties of images. The result of image registration is an analog or digital image, a representation of intensities as a function of position coordinates x, y (and sometimes also z) in a non-homogeneous material. Certain univariate operations for reducing noise and errors, improving contrast, measuring and counting particles etc. can be carried out on digitized images. A simple example from bioenergy research is given. In this first part a multivariate image is defined and an explanation is given of how it can be obtained. Operations on multivariate images and interpretations of multivariate results are presented in part II.
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