Yu. V. Vizil'ter

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Automated approaches to the choice and tuning of image analysis algorithms for solving a particular problem are considered. A new automated method for the construction of near-optimal object identification procedures is described. The objects to be identified can belong to several classes. The identification is based on reference images of those objects and(More)
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