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Multispectral image processing in science investigations

The purpose of the work reported here is to show that spectral information could be used with high efficiency in various science investigations. The results obtained allow to describe the procedure of forming chromaticity windows with minimum dimensions preassigned by probabilities of correct identification of image elements by their chromaticities. The ability of a color camera to distinguish small chromaticity differences for image processors have been discussed. These data are important in many applications of color computer vision systems. A multispectral image processing automated system were developed for and applied to the analytical methods that have been used for several years to control the ecological and biological processes.