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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="other" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Discrete and Continuous Models and Applied Computational Science</journal-id><journal-title-group><journal-title xml:lang="en">Discrete and Continuous Models and Applied Computational Science</journal-title><trans-title-group xml:lang="ru"><trans-title>Discrete and Continuous Models and Applied Computational Science</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2658-4670</issn><issn publication-format="electronic">2658-7149</issn><publisher><publisher-name xml:lang="en">Peoples' Friendship University of Russia named after Patrice Lumumba (RUDN University)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">8515</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Articles</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Статьи</subject></subj-group><subj-group subj-group-type="article-type"><subject></subject></subj-group></article-categories><title-group><article-title xml:lang="en">About Influence of the Accuracy of Image Representation on the Graphic Recognition Quality</article-title><trans-title-group xml:lang="ru"><trans-title>О влиянии точности представления изображений на качество распознавания графических образов</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Gostev</surname><given-names>I M</given-names></name><name xml:lang="ru"><surname>Гостев</surname><given-names>Иван Михайлович</given-names></name></name-alternatives><bio xml:lang="en">Moscow Institute of Electronics and Mathematics (Technical University), MIEM</bio><bio xml:lang="ru">Московский институт электроники и математики (МИЭМ)</bio><email>-</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Moscow Institute of Electronics and Mathematics (Technical University), MIEM</institution></aff><aff><institution xml:lang="ru">Московский институт электроники и математики (МИЭМ)</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2010-03-02" publication-format="electronic"><day>02</day><month>03</month><year>2010</year></pub-date><issue>3.2</issue><issue-title xml:lang="en">NO3.2 (2010)</issue-title><issue-title xml:lang="ru">№3.2 (2010)</issue-title><fpage>105</fpage><lpage>108</lpage><history><date date-type="received" iso-8601-date="2016-09-08"><day>08</day><month>09</month><year>2016</year></date></history><permissions><copyright-statement xml:lang="ru">Copyright ©; 2010, Гостев И.М.</copyright-statement><copyright-year>2010</copyright-year><copyright-holder xml:lang="ru">Гостев И.М.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">http://creativecommons.org/licenses/by/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.rudn.ru/miph/article/view/8515">https://journals.rudn.ru/miph/article/view/8515</self-uri><abstract xml:lang="en">The questions of the recognition graphic pattern are considered on discrete image. The organized study of the influence amount gradation on brightness on quality of the recognition graphic image. It Is shown that increase the number gradation with 28 on 216 brings to essential expansion of the range to correct classification in condition raised level of noise.</abstract><trans-abstract xml:lang="ru">Рассматриваются вопросы распознавания графических образов на дискретных изображениях. Проведено исследование влияния количества градаций по яркости на качество распознавания графических образов. Показано, что увеличение числа градаций с 28 на 216 приводит к существенному расширению диапазона правильной классификации в условиях повышенного уровня шумов.</trans-abstract><kwd-group xml:lang="en"><kwd>pattern recognition</kwd><kwd>image processing</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>распознавание образов</kwd><kwd>обработка изображений</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Loncaric S. 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