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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-134</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>МАСОЧНО-ФАЗОВЫЙ МЕТОД ЛОКАЛИЗАЦИИ ПРЯМЫХ ЛИНИЙ НА ИЗОБРАЖЕНИИ</article-title><trans-title-group xml:lang="en"><trans-title>MASK-PHASE METHOD OF LOCALIZATION OF STRAIGHT LINES IN AN IMAGE</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>Журавлёв</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Zhuravlyov</surname><given-names>A. A.</given-names></name></name-alternatives><email xlink:type="simple">vtsvet@bsuir.by</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">vtsvet@bsuir.by</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>2014</year></pub-date><pub-date pub-type="epub"><day>04</day><month>10</month><year>2016</year></pub-date><volume>0</volume><issue>1</issue><fpage>85</fpage><lpage>96</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Журавлёв А.А., Цветков В.Ю., 2016</copyright-statement><copyright-year>2016</copyright-year><copyright-holder xml:lang="ru">Журавлёв А.А., Цветков В.Ю.</copyright-holder><copyright-holder xml:lang="en">Zhuravlyov A.A., Tsviatkou V.Y.</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/134">https://inf.grid.by/jour/article/view/134</self-uri><abstract><p>Предлагается масочно-фазовый метод локализации прямых линий на изображении, основан-ный на предварительном грубом квантовании отрезков по ориентации с использованием библиотеки бинарных масок и уточнении прямых линий с помощью ориентированного преобразования Хафа. Ме-тод позволяет повысить скорость и качество локализации прямых линий в условиях изменения яркости, контраста и зашумления изображения.</p></abstract><trans-abstract xml:lang="en"><p>A mask-phase method of localization of straight lines in an image is proposed. It is based on a preliminary quantization of line segments with respect to orientation by using a library of binary masks and rectification of straight lines by using oriented Hough transform. The method allows improving the speed and quality of straight lines localization if there are changes of brightness, contrast and image noise.</p></trans-abstract></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Lowe, D. Distinctive image features from scale invariant keypoints / D. Lowe // International J. of Computer Vision. – 2004. – Vol. 60, № 2. – P. 91–110.</mixed-citation><mixed-citation xml:lang="en">Lowe, D. 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