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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

Aleksanin@diakont.com
Другие публикации этого автора
 

 

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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