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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">inform</journal-id><journal-title-group><journal-title xml:lang="ru">Информатика</journal-title><trans-title-group xml:lang="en"><trans-title>Informatics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1816-0301</issn><issn pub-type="epub">2617-6963</issn><publisher><publisher-name>UIIP NASB</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">inform-718</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>ОБРАБОТКА СИГНАЛОВ, ИЗОБРАЖЕНИЙ, РЕЧИ, ТЕКСТА И РАСПОЗНАВАНИЕ ОБРАЗОВ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>SIGNAL, IMAGE, SPEECH, TEXT PROCESSING AND PATTERN RECOGNITION</subject></subj-group></article-categories><title-group><article-title>АНАЛИЗ ФОРМЫ ТРЕХМЕРНЫХ ОРИЕНТАЦИОННЫХ ГИСТОГРАММ ТОМОГРАФИЧЕСКИХ ИЗОБРАЖЕНИЙ СТРУКТУР ГОЛОВНОГО МОЗГА</article-title><trans-title-group xml:lang="en"><trans-title></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>Ковалев</surname><given-names>В. А.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Снежко</surname><given-names>Э. В.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Круггель</surname><given-names>Ф.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford</institution><country>United Kingdom</country></aff><aff xml:lang="ru" id="aff-2"><institution>Объединенный институт проблем информатики НАН Беларуси</institution><country>Belarus</country></aff><aff xml:lang="ru" id="aff-3"><institution>Department of Biomedical Engineering, University of California, Irvine</institution><country>United States</country></aff><pub-date pub-type="collection"><year>2006</year></pub-date><pub-date pub-type="epub"><day>27</day><month>12</month><year>2018</year></pub-date><volume>0</volume><issue>4(12)</issue><fpage>50</fpage><lpage>60</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Ковалев В.А., Снежко Э.В., Круггель Ф., 2018</copyright-statement><copyright-year>2018</copyright-year><copyright-holder xml:lang="ru">Ковалев В.А., Снежко Э.В., Круггель Ф.</copyright-holder><copyright-holder xml:lang="en">Ковалев В.А., Снежко Э.В., Круггель Ф.</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://inf.grid.by/jour/article/view/718">https://inf.grid.by/jour/article/view/718</self-uri><abstract><p>Рассматриваются различные методы описания, сравнительного анализа и классификации формы трехмерных ориентационных гистограмм, используемых для характеризации анизотропных свойств томографических изображений белого вещества головного мозга. Ориентационные гистограммы представляют собой подкласс трехмерных объектов, характеризующийся регулярным и заранее фиксированным разбиением их поверхностей.</p></abstract></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Kendall, D. The diffusion of shape / D.G. Kendall // Advances of Applied Probability. – Vol. 9. – 1977. – P. 428–430.</mixed-citation><mixed-citation xml:lang="en">Kendall, D. The diffusion of shape / D.G. Kendall // Advances of Applied Probability. – Vol. 9. – 1977. – P. 428–430.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Kovalev, V. Texture anisotropy in 3D images / V. Kovalev, M. Petrou, Y. Bondar // IEEE Transactions on Image Processing. – Vol. 8, № 3. – 1999. – P. 346–360.</mixed-citation><mixed-citation xml:lang="en">Kovalev, V. Texture anisotropy in 3D images / V. Kovalev, M. 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