This paper discusses a functional model of the organ of vision, based on the theory of statistical solutions and optimum filtering, intended for the description of threshold recognition of colored objects under daylight-adaptation conditions. The spatial noise-equivalent energy spectra are chosen by the characteristics of the three color channels of the model. The initial data for calculating its parameters are obtained from an experiment on the threshold recognition of colored objects. The magnitude of the parameters of interest is evidence that long-wavelength and medium-wavelength channels are predominantly used when recognizing colored objects, especially small ones. The spatial parameters of the model correspond to the minimum possible size of the receptive retinal fields of these channels. The spectral efficiency, the color-discrimination thresholds, and the saturation thresholds calculated by means of the model are in good agreement with the experimental data of other authors.

© 2008 Optical Society of America

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