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An effective format for representing graphic information
Authors:Yu G Vasin  L I Lebedev
Affiliation:1. Research Institute of Applied Mathematics and Cybernetics, Lobachevsky State University of Nizhni Novgorod, National Research University, Ul??yanov St. 10, Nizhni Novgorod, 603005, Russia
Abstract: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 initial images of graphic documents. The theoretical reasoning for the efficiency of the graphic data representation in the proposed format is given, which is demonstrated by examples in comparison with the most known formats.
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