<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<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-376</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>ОБ УСТОЙЧИВОСТИ НЕПАРАМЕТРИЧЕСКИХ ПРЕОБРАЗОВАНИЙ В ЗАДАЧАХ ОПИСАНИЯ ЛОКАЛЬНЫХ ОСОБЕННОСТЕЙ ИЗОБРАЖЕНИЙ</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>Буткин</surname><given-names>Г. 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>Тузиков</surname><given-names>А. В.</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>15</fpage><lpage>24</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Буткин Г.А., Тузиков А.В., 2018</copyright-statement><copyright-year>2018</copyright-year><copyright-holder xml:lang="ru">Буткин Г.А., Тузиков А.В.</copyright-holder><copyright-holder xml:lang="en">Буткин Г.А., Тузиков А.В.</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/376">https://inf.grid.by/jour/article/view/376</self-uri><abstract><p>Рассматривается применение непараметрических преобразований в задачах описания локальных особенностей изображений и показываются их робастные свойства при изменении параметров интенсивности фрагментов изображений. Предлагаются подходы к усилению робастных свойств непараметрических преобразований и построению на их основе дескрипторов локальных особенностей изображений.</p></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. Object Recognition from Local Scale-Invariant Features / D. Lowe // Proc. of the</mixed-citation><mixed-citation xml:lang="en">Lowe, D. Object Recognition from Local Scale-Invariant Features / D. Lowe // Proc. of the</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Intern. Conf. on Computer Vision. – Corfu, Greece, 1999. – P. 1150–1157.</mixed-citation><mixed-citation xml:lang="en">Intern. Conf. on Computer Vision. – Corfu, Greece, 1999. – P. 1150–1157.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Mikolajczyk, K. Detection of local features invariant to affine transformations : Ph. D. Thesis / K. Mikolajczyk; Institut National Polytechique De Grenoble. – France, 2002. – 171 p.</mixed-citation><mixed-citation xml:lang="en">Mikolajczyk, K. Detection of local features invariant to affine transformations : Ph. D. Thesis / K. Mikolajczyk; Institut National Polytechique De Grenoble. – France, 2002. – 171 p.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Lowe, D. Distinctive image features from scale-invariant key points / D. Lowe // Intern. J. of Computer Vision. – 2004. – Vol. 2 (60). – P. 91–110.</mixed-citation><mixed-citation xml:lang="en">Lowe, D. Distinctive image features from scale-invariant key points / D. Lowe // Intern. J. of Computer Vision. – 2004. – Vol. 2 (60). – P. 91–110.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Bay, H. SURF: Speeded Up Robust Features / H. Bay, T. Tuytelaars, L. van Gool // Proc. of</mixed-citation><mixed-citation xml:lang="en">Bay, H. SURF: Speeded Up Robust Features / H. Bay, T. Tuytelaars, L. van Gool // Proc. of</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">the 9th European Conf. on Computer Vision. – Graz, Austtria, Springer LNCS, 2006. – Vol. 3951, part 1. – P. 404–417.</mixed-citation><mixed-citation xml:lang="en">the 9th European Conf. on Computer Vision. – Graz, Austtria, Springer LNCS, 2006. – Vol. 3951, part 1. – P. 404–417.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Bay, H. SURF: Speeded Up Robust Features / H. Bay, T. Tuytelaars, L. van Gool // Computer</mixed-citation><mixed-citation xml:lang="en">Bay, H. SURF: Speeded Up Robust Features / H. Bay, T. Tuytelaars, L. van Gool // Computer</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Vision and Image Understanding (CVIU). – 2008. – Vol. 110, № 3. – P. 346–359.</mixed-citation><mixed-citation xml:lang="en">Vision and Image Understanding (CVIU). – 2008. – Vol. 110, № 3. – P. 346–359.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Lindeberg, T. Scale-space theory: A basic tool for analysing structures at different scales /</mixed-citation><mixed-citation xml:lang="en">Lindeberg, T. Scale-space theory: A basic tool for analysing structures at different scales /</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">T. Lindeberg // Journal of Applied Statistics. – 1994. – Vol. 21. – P. 224–270.</mixed-citation><mixed-citation xml:lang="en">T. Lindeberg // Journal of Applied Statistics. – 1994. – Vol. 21. – P. 224–270.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Lindeberg, T. Feature detection with automatic scale selection / T. Lindeberg // Intern. J. of Computer Vision. – 1998. – Vol. 30, 2. – P. 77–116.</mixed-citation><mixed-citation xml:lang="en">Lindeberg, T. Feature detection with automatic scale selection / T. Lindeberg // Intern. J. of Computer Vision. – 1998. – Vol. 30, 2. – P. 77–116.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Harris, C. A combined corner and edge detector / C. Harris, M. Stephens // Proc. 4th Alvey</mixed-citation><mixed-citation xml:lang="en">Harris, C. A combined corner and edge detector / C. Harris, M. Stephens // Proc. 4th Alvey</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Vision Conference. – Manchester, 1988. – P. 147–151.</mixed-citation><mixed-citation xml:lang="en">Vision Conference. – Manchester, 1988. – P. 147–151.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Bauer, J. Comparing several implementations of two recently published feature detectors / J. Bauer, N. Sunderhauf, P. Protzel // Proc. of the Intern. Conf. on Intelligent and Autonomous Systems, IAV. – Toulouse, France. – 2007. – 6 p.</mixed-citation><mixed-citation xml:lang="en">Bauer, J. Comparing several implementations of two recently published feature detectors / J. Bauer, N. Sunderhauf, P. Protzel // Proc. of the Intern. Conf. on Intelligent and Autonomous Systems, IAV. – Toulouse, France. – 2007. – 6 p.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Mikolajczyk, K. A performance evaluation of local descriptors / K. Mikolajczyk,</mixed-citation><mixed-citation xml:lang="en">Mikolajczyk, K. A performance evaluation of local descriptors / K. Mikolajczyk,</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">C. Schmid // IEEE Transactions on Pattern Analysis and Machine Intelligence. – 2005. – Vol. 27, № 10. – P. 1615–1630.</mixed-citation><mixed-citation xml:lang="en">C. Schmid // IEEE Transactions on Pattern Analysis and Machine Intelligence. – 2005. – Vol. 27, № 10. – P. 1615–1630.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Viola, P.A. Rapid object detection using a boosted cascade of simple features /</mixed-citation><mixed-citation xml:lang="en">Viola, P.A. Rapid object detection using a boosted cascade of simple features /</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">P.A. Viola, M.J. Jones // Conf. on Computer Vision and Pattern recognition (CVPR (1)). – Kauai, Hawaii, 2001. – P. 511–518.</mixed-citation><mixed-citation xml:lang="en">P.A. Viola, M.J. Jones // Conf. on Computer Vision and Pattern recognition (CVPR (1)). – Kauai, Hawaii, 2001. – P. 511–518.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Zabih, R. Non-parametric Local Transforms for Computing Visual Correspondence /</mixed-citation><mixed-citation xml:lang="en">Zabih, R. Non-parametric Local Transforms for Computing Visual Correspondence /</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">R. Zabih, J. Woodfill // Proc. of 3rd European Conf. on Computer Vision. – Stockholm, 1994. –</mixed-citation><mixed-citation xml:lang="en">R. Zabih, J. Woodfill // Proc. of 3rd European Conf. on Computer Vision. – Stockholm, 1994. –</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">P. 150–158.</mixed-citation><mixed-citation xml:lang="en">P. 150–158.</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Cyganek, B. Comparison of nonparametric transformations and bit vector matching for stereo correlation / B. Cyganek // Proc. of the 10th Intern. Workshop on Combinatorial Image Analysis (IWCIA’04). – Auckland, New Zealand, 2004. – Vol. 3322. – P. 534–547.</mixed-citation><mixed-citation xml:lang="en">Cyganek, B. Comparison of nonparametric transformations and bit vector matching for stereo correlation / B. Cyganek // Proc. of the 10th Intern. Workshop on Combinatorial Image Analysis (IWCIA’04). – Auckland, New Zealand, 2004. – Vol. 3322. – P. 534–547.</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Кормен, Т. Алгоритмы: построение и анализ / Т. Кормен, Ч. Лейзерсон, Р. Ривест. –</mixed-citation><mixed-citation xml:lang="en">Кормен, Т. Алгоритмы: построение и анализ / Т. Кормен, Ч. Лейзерсон, Р. Ривест. –</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">М. : Издательский дом «Вильямс», 2007. – 1296 с.</mixed-citation><mixed-citation xml:lang="en">М. : Издательский дом «Вильямс», 2007. – 1296 с.</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Кучеренко, К.И. Сортирующие сети двумерной медианной фильтрации полутоновых изображений / К.И. Кучеренко, Е.Ф. Очин // Радиотехника. – 1987. – № 7. – C. 36–38.</mixed-citation><mixed-citation xml:lang="en">Кучеренко, К.И. Сортирующие сети двумерной медианной фильтрации полутоновых изображений / К.И. Кучеренко, Е.Ф. Очин // Радиотехника. – 1987. – № 7. – C. 36–38.</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Буткин, Г.А. Синтез процедур скользящего сглаживания / Г.А. Буткин // Идентифика-</mixed-citation><mixed-citation xml:lang="en">Буткин, Г.А. Синтез процедур скользящего сглаживания / Г.А. Буткин // Идентифика-</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">ция образов : сб. науч. тр. – Минск : Ин-т техн. кибернетики НАН Беларуси, 1999. – C. 52–57.</mixed-citation><mixed-citation xml:lang="en">ция образов : сб. науч. тр. – Минск : Ин-т техн. кибернетики НАН Беларуси, 1999. – C. 52–57.</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>
