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DOI: 10.18287/2412-6179-CO-1240
Страницы: 605-613.
Язык статьи: English.
Аннотация:
In the process of  development of computer technologies, the number of areas of their application  naturally grows and, along with it, the complexity of the tasks to be solved,  which entails the need for new research. Similar tasks include digital  filtering of images in the field of medical technologies and active-pulse  television measuring systems. There are many methods and algorithms of digital  filtering designed to solve the problem of improving the quality; algorithms  that can improve the quality of images while reducing computational costs are  widely used. High demands, which are made due to the constant growth in the  size of the generated images, as well as the requirement for modern television  systems, is real-time operation. When solving practical problems, it is  required to use different filter aperture sizes, which provide an increase in  quality and preservation of image details. The solution of these problems was  the reason for the emergence of adaptive filters that are able to change the parameters  in the process of processing the received data, while not spending additional  time on processing with an increase in the size of the aperture. The paper  presents the principles of constructing adaptive image processing filters,  which, by obtaining an input parameter indicating the required dimension of a  multi-element aperture, are able to implement the construction of the required  aperture. The Laplacian “Truncated Pyramid” filter and the “double pyramid”  Laplacian were modified. A feature of these filters is the oddness of the  multi-element aperture, so the coefficient used to build the mask is always set  to odd. When using these filters, it is possible to use two coefficients that  are responsible for increasing the filtration efficiency, since, in their  original form, the Laplacian filters have a sum of coefficients equal to zero.  The experiment shows a comparison with high-dimensional filters that work when  using classical two-dimensional convolution. The next stage of the presented  research will be the application of parallel computing techniques, which will  increase the speed of the developed filters.
Ключевые слова:
image processing, recursively separable filters, multi-element apertures, reduction of computational costs, machine vision, medical optics and biotechnology, vision systems in difficult weather conditions.
Благодарности
For help in preparing materials, we express our gratitude to Nikolaeva D.A.
The research was carried out at the expense of the Russian Science Foundation grant No. 21-79-10200 at TUSUR.
Citation:
Kamenskiy AV, Kuryachiy MI, Krasnoperova AS, Ilyin YV, Akaeva ТМ, Boyarkin SE. High-speed recursive-separable image processing filters with variable scanning aperture sizes. Computer Optics 2023; 47(4): 605-613. DOI: 10.18287/2412-6179-CO-1240.
References:
© 2009, IPSI RAS
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