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Using subfractals for coding and image recognition.
Author(s) -
Василий Гулаков,
Vasiliy Gulakov,
Сергей Клепинин,
Sergey Klepinin
Publication year - 2014
Publication title -
vestnik brânskogo gosudarstvennogo tehničeskogo universiteta
Language(s) - English
Resource type - Journals
ISSN - 1999-8775
DOI - 10.12737/23139
Subject(s) - coding (social sciences) , fractal , computer science , artificial intelligence , pattern recognition (psychology) , image (mathematics) , matching (statistics) , image quality , rank (graph theory) , fractal analysis , fractal dimension , computer vision , mathematics , statistics , mathematical analysis , combinatorics
Considered fractal image coding for image recognition, analyzed the spatial distribution of matching domain and rank blocks received during the encoding process. A new method of con-struction of fractal code that is designed to minimize the influence of defects in image recogni-tion quality.

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