Статья 'Разработка процедур автоматизированного выбора методов анализа и цифровой обработки изображений при решении задач дефектоскопии ' - журнал 'Кибернетика и программирование' - NotaBene.ru
Journal Menu
> Issues > Rubrics > About journal > Authors > About the Journal > Requirements for publication > Council of Editors > Peer-review process > Policy of publication. Aims & Scope. > Article retraction > Ethics > Online First Pre-Publication > Copyright & Licensing Policy > Digital archiving policy > Open Access Policy > Open access publishing costs > Article Identification Policy > Plagiarism check policy
Journals in science databases
About the Journal

MAIN PAGE > Back to contents
Cybernetics and programming

Development of procedures of the automated choice of methods of the analysis and digital processing of images at the solution of problems of defectoscopy

Aleksanin Sergei Andreevich

graduate student, St. Petersburg State University of Information Technologies, Mechanics and Optics

197101, Russia, Saint Petersburg, Kronverkskii Prospekt, 49

Другие публикации этого автора




Review date:


Publish date:


Abstract: In the article the author presents developed procedures of automated automated selection of methods of analysis and digital processing of images, used when creating domain-specific subsystems, in particular for defectoscopy. The relevance of the problem is caused by ever-increasing requirements for technical characteristics of modern equipment used in medicine, space exploration, information technology, etc. And this implies the urgency of the task of creating functions of automated selection of methods for digital image processing and analysis in defectoscopy. The described automated procedures for choosing methods for digital image processing and analysis were developed on the basis of modern methods of digital image processing. The main results of the present research of procedures for automated selection of digital image processing solutions for the problems of defectoscopy is that the use of this procedures, depending on qualification, can significantly improve the quality of digital photos. This will lead to better identification of defects, which in turn will allow to withstand all specified technical requirements for manufactured  products.

Keywords: morphological filtering, image processing, defectoscopy, Wiener filtration, Laplace's mask, convolution, blur image, edge detecion, smoothed image, deblurring
This article written in Russian. You can find full text of article in Russian here .

Gonsales G., Vuds R. Tsifrovaya obrabotka izobrazhenii. — M.: Tekhnosfera, 2006. 1072 s.
Grishentsev A.Yu., Korobeinikov A.G. Metody i modeli tsifrovoi obrabotki izobrazhenii.-Sankt-Peterburg: Politekhnicheskii universitet, 2014.-190 s.-ISBN 978-5-7422-4892-7.
Sidorkina I.G., Kudrin P.A., Korobeinikov A.G. Algoritm raspoznavaniya trekhmernykh izobrazhenii s vysokoi detalizatsiei. Vestnik Mariiskogo gosudarstvennogo tekhnicheskogo universiteta. Seriya: Radiotekhnicheskie i infokommunikatsionnye sistemy – Ioshkar-Ola: Mariiskii gosudarstvennyi tekhnicheskii universitet – 2010.-№2(9). – S. 91-98.
Malla, S. Veivlety v obrabotke signalov / S. Malla; per.– M.: Mir, 2005.– 671 s.: il.
Basarab M.A., Volosyuk V.K., Goryachkin O.V. Tsifrovaya obrabotka signalov i izobrazhenii v radiofizicheskikh prilozheniyakh./ Pod red. F.V. Kravchenko. – M.: FIZMATLIT, 2007. – 544 s.
Korobeinikov A.G. Razrabotka i analiz matematicheskikh modelei s ispol'zovaniem MATLAB i MAPLE-SPb: SPbGU ITMO, 2010. 144 s.
Korobeinikov A.G. Proektirovanie i issledovanie matematicheskikh modelei v sredakh MATLAB i MAPLE.-Sankt-Peterburg: SPbGU ITMO, 2012.-160 s.
Korobeinikov A.G., Grishentsev A.Yu. Razrabotka i issledovanie mnogomernykh matematicheskikh modelei s ispol'zovaniem sistem komp'yuternoi algebry // SPbNIU ITMO.-Sankt-Peterburg: SPbNIU ITMO, 2013.-100 s.
Korobeinikov A.G. Matematicheskoe modelirovanie. Proektirovanie i analiz mnogomernykh matematicheskikh modelei s primeneniem sistem komp'yuternoi algebry // LAP LAMBERT Academic Publishing.-2014.-125 s.-ISBN 978-3-659-16593-1
Korobeinikov A.G., Akhapkina I.B., Bezruk N.V., Demina E.A., Yamshchikova N.V. Primenenie sistemy komp'yuternoi algebry Maple v obuchenii proektirovaniyu i analizu mnogomernykh matematicheskikh modelei // Informatika i obrazovanie.-Moskva: OOO "Obrazovanie i informatika", 2014.-Vyp. 253.-№ 4.-ITK v predmetnoi oblasti.-S. 69-75.-ISSN 0234-0453.-URL: http://www.infojournal.ru.
Korobeinikov A.G. Metody avtomatizirovannogo proektirovaniya// LAP LAMBERT Academic Publishing.-2011.-250 s.-ISBN 978-3-8465-1652-2.
Grishentsev A.Yu., Korobeinikov A.G. Uluchshenie skhodimosti metoda konechnykh raznostei s pomoshch'yu vychisleniya promezhutochnogo resheniya // Nauchno-tekhnicheskii vestnik informatsionnykh tekhnologii, mekhaniki i optiki.-Sankt-Peterburg: SPbNIU ITMO, 2012.-Vyp. 3.-№ 79.-S. 124-127.-158 s.-ISSN 2226-1494.
Grishentsev A.Yu., Korobeinikov A.G. Dekompozitsiya n-mernykh tsifrovykh signalov po bazisu pryamougol'nykh vspleskov // Nauchno-tekhnicheskii vestnik informatsionnykh tekhnologii, mekhaniki i optiki.-Sankt-Peterburg: SPbNIU ITMO, 2012.-T. 80, vyp. 4.-Komp'yuternye sistemy i informatsionnye tekhnologii.-S. 75-79.-170 s.-ISSN 2226-1494.
Korobeinikov A.G., Grishentsev A.Yu. Uvelichenie skorosti skhodimosti metoda konechnykh raznostei na osnove ispol'zovaniya promezhutochnogo resheniya // Kibernetika i programmirovanie. - 2012. - 2. - C. 38 - 46. URL: http://www.e-notabene.ru/kp/article_13864.html
Link to this article

You can simply select and copy link from below text field.

Other our sites:
Official Website of NOTA BENE / Aurora Group s.r.o.
"History Illustrated" Website