Mathematical processing of images in real-time vision systems can be conventionally divided into two stages: preprocessing (filtering, contrasting, protection from natural distortions, etc.) and final one (imposition, visualization, solution of the navigation task, etc.). Mentioned tasks can be solved by a lot of known and specially developed methods with various degrees of efficiency. The present paper suggests a mathematical criterion model and algorithm of automatic selection of the most effective method at each stage of the image processing pipeline in relation to the current situation at its input.
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