Structural Resonance Methods for Image Processing and Pattern Recognition; International Journal of Applied Engineering Research; Vol. 12, № 19
| Parent link: | International Journal of Applied Engineering Research: International Research Journal Vol. 12, № 19.— 2017.— [P. 9087-9088] |
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| 団体著者: | |
| その他の著者: | , , , , , , , |
| 要約: | Title screen We have developed group-theoretical methods of structuralresonance by analogy with "resonance methods" applied inthe classical theory of oscillations and waves and in quantumphysics. The "structural-resonance approach" is one of theadvantageous interpretations of the reconstructivecomputerized diagnostics based on the previously developedgroup-theoretical statistical approach to solve ill-posedinverse problems. We have elaborated a unified method ofreconstructing a “heterogenous” test-object with widesemantic spectrum, regarding this object as a “semanticmixture” of different mutually complementary semanticcontents, matching each of them with its formalized invariantstructure. To separate a cleared semantic content from the“mixture”, it is necessary to apply operators from its group ofautomorphisms to the informational image of the “mixture”. Itresults in randomization of all other semantic contents, so theycan be easily suppressed statistically. We have definedmeasures of intensity for such resonance, carried out adetailed comparison of tomosynthesis and such structuralresonance “sense synthesis”, and compared “materialreconstruction” and reconstruction of structural-functionalconnections. Finally yet importantly, we have discussedprospects of these methods for solving ill-posed problems invarious fields of science and practice. Режим доступа: по договору с организацией-держателем ресурса |
| 言語: | 英語 |
| 出版事項: |
2017
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| 主題: | |
| オンライン･アクセス: | https://www.ripublication.com/ijaer17/ijaerv12n19_145.pdf |
| フォーマット: | MixedMaterials 電子媒体 図書の章 |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=660154 |
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| 200 | 1 | |a Structural Resonance Methods for Image Processing and Pattern Recognition |f V. A. Baranov [et al.] | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 36 tit.] | ||
| 330 | |a We have developed group-theoretical methods of structuralresonance by analogy with "resonance methods" applied inthe classical theory of oscillations and waves and in quantumphysics. The "structural-resonance approach" is one of theadvantageous interpretations of the reconstructivecomputerized diagnostics based on the previously developedgroup-theoretical statistical approach to solve ill-posedinverse problems. We have elaborated a unified method ofreconstructing a “heterogenous” test-object with widesemantic spectrum, regarding this object as a “semanticmixture” of different mutually complementary semanticcontents, matching each of them with its formalized invariantstructure. To separate a cleared semantic content from the“mixture”, it is necessary to apply operators from its group ofautomorphisms to the informational image of the “mixture”. Itresults in randomization of all other semantic contents, so theycan be easily suppressed statistically. We have definedmeasures of intensity for such resonance, carried out adetailed comparison of tomosynthesis and such structuralresonance “sense synthesis”, and compared “materialreconstruction” and reconstruction of structural-functionalconnections. Finally yet importantly, we have discussedprospects of these methods for solving ill-posed problems invarious fields of science and practice. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | |t International Journal of Applied Engineering Research |o International Research Journal | ||
| 463 | |t Vol. 12, № 19 |v [P. 9087-9088] |d 2017 | ||
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a inverse problem | |
| 610 | 1 | |a ill-posed problem | |
| 610 | 1 | |a nonlinear backprojection | |
| 610 | 1 | |a image processing | |
| 610 | 1 | |a spatial filtering | |
| 610 | 1 | |a reconstructive computerized diagnostics | |
| 610 | 1 | |a structural resonance | |
| 610 | 1 | |a pattern recognition | |
| 610 | 1 | |a обратная задача | |
| 610 | 1 | |a некорректность | |
| 610 | 1 | |a обработка изображений | |
| 610 | 1 | |a распознавание | |
| 610 | 1 | |a пространственная фильтрация | |
| 610 | 1 | |a реконструктивная вычислительная диагностика | |
| 610 | 1 | |a компьютерная диагностика | |
| 610 | 1 | |a резонанс | |
| 701 | 1 | |a Baranov |b V. A. |c Specialist in the field of non-destructive testing |c Engineer Tomsk Polytechnic University, Candidate of technical sciences |f 1943- |g Vladimir Aleksandrovich |3 (RuTPU)RU\TPU\pers\37543 | |
| 701 | 1 | |a Avdeeva |b D. K. |c specialist in the field of non-destructive testing |c Professor of Tomsk Polytechnic University, Doctor of technical sciences |f 1943- |g Diana Konstantinovna |3 (RuTPU)RU\TPU\pers\33062 | |
| 701 | 1 | |a Evert |b U. | |
| 701 | 1 | |a Yuzhakov |b M. M. |c specialist in the field of non-destructive testing |c Associate Scientist of Tomsk Polytechnic University |f 1981- |g Mikhail Mikhaylovich |3 (RuTPU)RU\TPU\pers\36905 | |
| 701 | 1 | |a Turushev |b N. V. |c specialist in the field of instrumentation |c Engineer of Tomsk Polytechnic University |f 1990- |g Nikita Vladimirovich |3 (RuTPU)RU\TPU\pers\32603 | |
| 701 | 1 | |a Kodermyatov |b R. E. |g Radik Emirkhanovich | |
| 701 | 1 | |a Maksimov |b I. V. |g Ivan Vadimovich | |
| 701 | 1 | |a Balakhonova |b M. V. |g Mariya Vyacheslavovna | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Инженерная школа неразрушающего контроля и безопасности |b Научно-производственная лаборатория "Медицинская инженерия" |3 (RuTPU)RU\TPU\col\25418 |
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