L. I. Lebedev

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An intelligent format of the compressed graphic data representation, based on correlation-extremal recognition methods is described in this work. Corresponding fields of a new data representation structure are formed by compression, recognition, masking, and coding methods for describing data in the format of the linear-contour model obtained by vectoring(More)
The paper puts forward two theorems underlying a method of coordination of the descriptions of contours for the equivalence class with the group of affine transformations. High speed performance of the method is achieved by excluding the calculations of similarity estimates. Fundamentals of the method are explained by examples of coordination of the(More)
This paper addresses the problem of automating the production of digital graphic documents based on pattern recognition and machine learning methods. Methods for solving problems of detecting and isolating objects with similar descriptions, as well as their parallelization, are considered. Interactive procedures of editing and assigning classification codes(More)
The problem of optimization of the structure of an intelligent format designed for representing graphic images is solved. Parallelization of the algorithm for forming an intelligent format is described. The problems of the formation of description features of image objects and obtaining decision rules for a classifier of a set of symbols are solved. The(More)
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