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Cybernetics and programming
Reference:
Aleksanin S.A. —
Development of procedures of the automated choice of methods of the analysis and digital processing of images at the solution of problems of defectoscopy
// Cybernetics and programming.
– 2015. – № 4.
– P. 62 - 71.
DOI: 10.7256/2306-4196.2015.4.16331 URL: https://en.nbpublish.com/library_read_article.php?id=16331
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
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Aleksanin@diakont.com
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Другие публикации этого автора
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DOI: 10.7256/2306-4196.2015.4.16331
Review date:
06-09-2015
Publish date:
25-09-2015
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
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