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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-375</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>ВЫДЕЛЕНИЕ ТЕНЕЙ НА ИЗОБРАЖЕНИЯХ С ПОМОЩЬЮ АНАЛИЗА ГИСТОГРАММ</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>Лукашевич</surname><given-names>П. В.</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>Залесский</surname><given-names>Б. А.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Объединенный институт проблем информатики НАН Беларуси</institution><country>Belarus</country></aff><pub-date pub-type="collection"><year>2011</year></pub-date><pub-date pub-type="epub"><day>20</day><month>04</month><year>2018</year></pub-date><volume>0</volume><issue>1(29)</issue><fpage>5</fpage><lpage>14</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Лукашевич П.В., Залесский Б.А., 2018</copyright-statement><copyright-year>2018</copyright-year><copyright-holder xml:lang="ru">Лукашевич П.В., Залесский Б.А.</copyright-holder><copyright-holder xml:lang="en">Лукашевич П.В., Залесский Б.А.</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/375">https://inf.grid.by/jour/article/view/375</self-uri><abstract><p>Предлагаются алгоритмы автоматического выделения теней на полутоновых и цветных изображениях, основанные на анализе формы локальных гистограмм яркостей изображений. Алгоритмы устойчивы к сдвигам и растяжениям гистограмм. Они, в частности, позволяют получать удовлетворительные решения задачи выделения теней на аэрофотоснимках и космических изображениях, в том числе на тех, цветовые или яркостные характеристики которых различны в разных областях.</p></abstract></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Computer Vision Information Pages. Cloud Detection, Shadow Detection and Extraction</mixed-citation><mixed-citation xml:lang="en">Computer Vision Information Pages. Cloud Detection, Shadow Detection and Extraction</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">[Electronic resource]. – Mode of access : http://www.visionbib.com/bibliography/segment343.html. –</mixed-citation><mixed-citation xml:lang="en">[Electronic resource]. – Mode of access : http://www.visionbib.com/bibliography/segment343.html. –</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Date of access : 01.07.2010.</mixed-citation><mixed-citation xml:lang="en">Date of access : 01.07.2010.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Nagao, M. Region extraction and shape analysis in aerial photos / M. Nagao, T. Matsutyama, Y. Ikeda // Computer Graphics and Image Processing. – 1979. – Vol. 10, iss. 3. – P. 195–223.</mixed-citation><mixed-citation xml:lang="en">Nagao, M. Region extraction and shape analysis in aerial photos / M. Nagao, T. Matsutyama, Y. Ikeda // Computer Graphics and Image Processing. – 1979. – Vol. 10, iss. 3. – P. 195–223.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Dare, P.M. Shadow analysis in high-resolution satellite imagery of urban areas / P.M. Dare // Photogrammetric Engineering and Remote Sensing. – 2005. – Vol. 71. – P. 169–177.</mixed-citation><mixed-citation xml:lang="en">Dare, P.M. Shadow analysis in high-resolution satellite imagery of urban areas / P.M. Dare // Photogrammetric Engineering and Remote Sensing. – 2005. – Vol. 71. – P. 169–177.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Renno, J.-P.R. Evaluation of shadow classification techniques for object detection and tracking / J.-P.R. Renno, J. Orwell, G.A. Jones // International Conference on Image Processing. – Singapore, 2004. – Vol. 1. – P.143–146.</mixed-citation><mixed-citation xml:lang="en">Renno, J.-P.R. Evaluation of shadow classification techniques for object detection and tracking / J.-P.R. Renno, J. Orwell, G.A. Jones // International Conference on Image Processing. – Singapore, 2004. – Vol. 1. – P.143–146.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Гонсалес, Р. Цифровая обработка изображений / Р. Гонсалес, Р. Вудс. – М. : Техносфе-</mixed-citation><mixed-citation xml:lang="en">Гонсалес, Р. Цифровая обработка изображений / Р. Гонсалес, Р. Вудс. – М. : Техносфе-</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">ра, 2005. – 1072 с.</mixed-citation><mixed-citation xml:lang="en">ра, 2005. – 1072 с.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Chen, B. Shadow Detection Based on RGB Color Model // B. Chen, D. Chen / Intelligent</mixed-citation><mixed-citation xml:lang="en">Chen, B. Shadow Detection Based on RGB Color Model // B. Chen, D. Chen / Intelligent</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Computing in Signal Processing and Pattern Recognition. Lecture Notes in Control and Information Sciences. – 2006. – Vol. 345. – P. 1068–1074.</mixed-citation><mixed-citation xml:lang="en">Computing in Signal Processing and Pattern Recognition. Lecture Notes in Control and Information Sciences. – 2006. – Vol. 345. – P. 1068–1074.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Wang, Y. Shadow detection of urban color aerial images based on partial differential equations / Y. Wang, S. Wang // The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. – 2008. – Vol. 37, Part B2. – P. 325–328.</mixed-citation><mixed-citation xml:lang="en">Wang, Y. Shadow detection of urban color aerial images based on partial differential equations / Y. Wang, S. Wang // The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. – 2008. – Vol. 37, Part B2. – P. 325–328.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Antonio da Silva, E. Shadows and clouds detection in high resolution images / E. Antonio da Silva, T. Statella // The Future of Land Imaging. – 2008. – Vol. 17. – P. 138–147.</mixed-citation><mixed-citation xml:lang="en">Antonio da Silva, E. Shadows and clouds detection in high resolution images / E. Antonio da Silva, T. Statella // The Future of Land Imaging. – 2008. – Vol. 17. – P. 138–147.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Giles, P. Remote sensing and cast shadows in mountainous terrain / P. Giles // Photogrammetric Engineering &amp; Remote Sensing. – 2001. – Vol. 67 (7). – P. 833–839.</mixed-citation><mixed-citation xml:lang="en">Giles, P. Remote sensing and cast shadows in mountainous terrain / P. Giles // Photogrammetric Engineering &amp; Remote Sensing. – 2001. – Vol. 67 (7). – P. 833–839.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Rau, J.-Y. True orthophoto generation of built-up areas using multi-view images / J.-Y. Rau, N.-Y. Chen, L.-C. Chen // Photogrammetric Engineering &amp; Remote Sensing. – 2002. – Vol. 68 (6). – P. 581–588.</mixed-citation><mixed-citation xml:lang="en">Rau, J.-Y. True orthophoto generation of built-up areas using multi-view images / J.-Y. Rau, N.-Y. Chen, L.-C. Chen // Photogrammetric Engineering &amp; Remote Sensing. – 2002. – Vol. 68 (6). – P. 581–588.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Porikli, F. Integral Histogram: A Fast Way To Extract Histograms in Cartesian Spaces /</mixed-citation><mixed-citation xml:lang="en">Porikli, F. Integral Histogram: A Fast Way To Extract Histograms in Cartesian Spaces /</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">F. Porikli // Proc. of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. – San Diego, CA, USA, 2005. – Vol. 1. – P. 829–836.</mixed-citation><mixed-citation xml:lang="en">F. Porikli // Proc. of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. – San Diego, CA, USA, 2005. – Vol. 1. – P. 829–836.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Juang, C. Object detection by color histogram-based fuzzy classifier with support vector</mixed-citation><mixed-citation xml:lang="en">Juang, C. Object detection by color histogram-based fuzzy classifier with support vector</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">learning / C. Juang, W. Sun, G. Chen // Neurocomput. – 2009. – Vol. 72. – P. 2464–2476.</mixed-citation><mixed-citation xml:lang="en">learning / C. Juang, W. Sun, G. Chen // Neurocomput. – 2009. – Vol. 72. – P. 2464–2476.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Rapid and precise object detection based on color histograms and adaptive bandwidth mean shift / X. Chen [et al.] // Proc. of the 2009 IEEE/RSJ intern. conf. on intelligent Robots and Systems. – St. Louis, MO, USA, 2009. – P. 4281–4286.</mixed-citation><mixed-citation xml:lang="en">Rapid and precise object detection based on color histograms and adaptive bandwidth mean shift / X. Chen [et al.] // Proc. of the 2009 IEEE/RSJ intern. conf. on intelligent Robots and Systems. – St. Louis, MO, USA, 2009. – P. 4281–4286.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
