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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.

The principles of color space generation of multizonal optical registration systems are presented. Conformity between different color spaces is defined. The algorithms of the multizonal image registrator signal processing are given. The general algorithm of analysis is offered.

Methods of analysis and calculation of chromater thresholds for a multizone image processor have been discussed. Functions of radius-vector sensitivity to variations in color separated signals within color space have been established. The results obtained allow us to describe the procedure of forming windows with minimum dimensions preassigned by probabilities of correct identification of image elements by their chromaticities. Calculation procedures are exemplified and the structural schemes of components which have been used in synthesis of color image recognition systems are demonstrated.© (1993) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.