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<article article-type="research-article" dtd-version="1.3" 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" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">meat</journal-id><journal-title-group><journal-title xml:lang="en">Theory and practice of meat processing</journal-title><trans-title-group xml:lang="ru"><trans-title>Теория и практика переработки мяса</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2414-438X</issn><issn pub-type="epub">2414-441X</issn><publisher><publisher-name>ФГБНУ «Федеральный научный центр пищевых систем им. В.М. Горбатова» РАН</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21323/2414-438X-2018-3-4-4-15</article-id><article-id custom-type="elpub" pub-id-type="custom">meat-102</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title>COMPUTER VISION SYSTEM FOR COLOR MEASUREMENTS OF MEAT AND MEAT PRODUCTS: A REVIEW</article-title><trans-title-group xml:lang="ru"><trans-title>СИСТЕМА КОМПЬЮТЕРНОГО ЗРЕНИЯ ДЛЯ ИЗМЕРЕНИЯ ЦВЕТОВЫХ ПАРАМЕТРОВ МЯСА И МЯСНЫХ ПРОДУКТОВ: ОБЗОР</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Томашевич</surname><given-names>И. Б.</given-names></name><name name-style="western" xml:lang="en"><surname>Tomasevic</surname><given-names>Igor B.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Томашевич Игор Бронислав - доцент, кафедра технологии продуктов питания животных, Факультет сельского хозяйства</p><p>11080, Сербия, Белград, ул. Неманьина, 6Тел.: +7–38–160–429–99–98</p></bio><bio xml:lang="en"><p>Associate professor, Department of Animal Source Food Technology, Faculty of Agriculture</p><p>11080, Serbia, Belgrade, Nemanjina str., 6Tel.: +7–38–160–429–99–98</p></bio><email xlink:type="simple">tbigor@agrif.bg.ac.rs</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Белградский университет, Белград</institution><country>Чехословакия</country></aff><aff xml:lang="en"><institution>University of Belgrade, Belgrade</institution><country>Czechoslovakia</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2018</year></pub-date><pub-date pub-type="epub"><day>28</day><month>12</month><year>2018</year></pub-date><volume>3</volume><issue>4</issue><fpage>4</fpage><lpage>15</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Tomasevic I.B., 2018</copyright-statement><copyright-year>2018</copyright-year><copyright-holder xml:lang="ru">Томашевич И.Б.</copyright-holder><copyright-holder xml:lang="en">Tomasevic I.B.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.meatjournal.ru/jour/article/view/102">https://www.meatjournal.ru/jour/article/view/102</self-uri><abstract><p>Meat and meat products color evaluation ability of a computer vision system (CVS) is investigated by a comparison study with color measurements from a traditional colorimeter. A statistical analysis revealed significant differences between the instrumental values in all three dimensions (L*, a*, b*) between the CVS and colorimeter. The CVS-generated colors were more similar to the sample of the meat products visualized on the monitor, compared to colorimeter-generated colors in all (100 %) individual trials performed. The use of CVS should be considered a superior alternative to the traditional method for measuring color of meat and meat products.</p></abstract><trans-abstract xml:lang="ru"><p>Способность системы компьютерного зрения (системы CVS) оценивать параметры цвета мяса и мясных продуктов исследовалась посредством сравнения с измерениями, производимыми традиционным колориметром. В результате статистического анализа были выявлены существенные различия между системой CVS и колориметром в отношении полученных с помощью этих приборов значений всех трех параметров (L*, a*, b*). Во всех испытаниях (100 %) CVS-сгенерированные значения цвета были ближе к параметрам образцов мясных продуктов, отображаемых на мониторе, по сравнению со значениями цвета, полученными с помощью колориметра. Использование системы CVS следует рассматривать как превосходную альтернативу традиционному методу измерения цвета мяса и мясных продуктов.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>цвет</kwd><kwd>мясо птицы</kwd><kwd>мясо дичи</kwd><kwd>мясные продукты</kwd><kwd>компьютерное зрение</kwd><kwd>колориметр</kwd></kwd-group><kwd-group xml:lang="en"><kwd>color</kwd><kwd>poultry meat</kwd><kwd>game meat</kwd><kwd>meat products</kwd><kwd>computer vision</kwd><kwd>colorimeter</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Mancini, R. A., Hunt, M. C. (2005). Current research in meat color. 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