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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="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">bsuir</journal-id><journal-title-group><journal-title xml:lang="ru">Доклады БГУИР</journal-title><trans-title-group xml:lang="en"><trans-title>Doklady BGUIR</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1729-7648</issn><issn pub-type="epub">2708-0382</issn><publisher><publisher-name>БГУИР</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">bsuir-550</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>СЕГМЕНТАЦИЯ И КОМПАКТНОЕ МНОГОМАСШТАБНОЕ ПРЕДСТАВЛЕНИЕ ИЗОБРАЖЕНИЙ НА ОСНОВЕ ПРОГРЕССИВНОЙ ОБРАТНОЙ КЛАСТЕРИЗАЦИИ</article-title><trans-title-group xml:lang="en"><trans-title>SEGMENTATION AND COMPACT MULTISCALE REPRESENTATION OF THE IMAGES BASED ON PROGRESSIVE BACKWARD CLUSTERING</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>Альмияхи</surname><given-names>О. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Almiahi</surname><given-names>O. M.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Цветков</surname><given-names>В. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Tsviatkou</surname><given-names>V. Yu.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Макейчик</surname><given-names>Е. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Makeichik</surname><given-names>E. G.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Белорусский государственный университет информатики и радиоэлектроники</institution><country>Belarus</country></aff><pub-date pub-type="collection"><year>2015</year></pub-date><pub-date pub-type="epub"><day>03</day><month>06</month><year>2019</year></pub-date><volume>0</volume><issue>6</issue><fpage>48</fpage><lpage>54</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Альмияхи О.М., Цветков В.Ю., Макейчик Е.Г., 2019</copyright-statement><copyright-year>2019</copyright-year><copyright-holder xml:lang="ru">Альмияхи О.М., Цветков В.Ю., Макейчик Е.Г.</copyright-holder><copyright-holder xml:lang="en">Almiahi O.M., Tsviatkou V.Y., Makeichik E.G.</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://doklady.bsuir.by/jour/article/view/550">https://doklady.bsuir.by/jour/article/view/550</self-uri><abstract><p>Разработан метод сегментации и компактного многомасштабного представления изображений на основе прогрессивной обратной кластеризации. Метод обеспечивает точную сегментацию, многомасштабное представление и сжатие сегментированного изображения, адаптацию к ограничению на время сегментации.</p></abstract><trans-abstract xml:lang="en"><p>Developing a method of segmentation and compact multiscale representation of images based on the progressive backward clustering. The method provides an accurate segmentation, multiscale representation and compression of the segmented images, adaptation to a limitation on the time of segmentation.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>сегментация изображений</kwd><kwd>многомасштабное представление изображений</kwd><kwd>компактное представление изображений</kwd><kwd>прогрессивная обратная кластеризация</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">Lalitha M., Kiruthiga M., Loganathan C. // International Journal of Science and Research (IJSR). 2013. 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