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Program Systems: Theory and Applications, 2019, Volume 10, Issue 4, Pages 111–139
DOI: https://doi.org/10.25209/2079-3316-2019-10-4-111-139
(Mi ps353)
 

Optimization Methods and Control Theory

Image processing toolkit inspired by mechanisms of human visual perception

A. P. Mashtakov, K. A. Putintseva

Ailamazyan Program Systems Institute of Russian Academy of Sciences
References:
Abstract: We consider a problem of computer simulation of human vision. We develop software for image processing by methods based on the principles of visual perception by humans. The software Visual Processing performs the first stages of the visual signal processing by the human brain: blurring images (removing noise), edge detection (image contours) and orientation analysis (determining the angle of inclination of the contours). These steps have been modeled by Gaussian filter to blur and represent the image, a Gaussian derivative apparatus for edge detection, and a Gabor filter for determining the orientations. Visual Processing has been developed in C, tcl / tk using the libpng and libgsl libraries. It performs the following functions: Gaussian image blur; differentiation of the image using Gaussian derivatives; edge detection using the Laplacian of Gaussian (LoG filter); determining the orientation of the contours and lift of the image to the Lie group SE$_2$ using Gabor filters. Visual Processing is an open-source software that aims to build a platform for implementing and testing different image processing algorithms in the field of mathematical modeling of vision.
Key words and phrases: image processing, vision model, human visual system, Gaussian derivatives, Gabor filter, roto-translation group.
Funding agency Grant number
Russian Science Foundation 17-11-01387
Received: 26.11.2019
Accepted: 12.12.2019
Document Type: Article
UDC: 004.94:591.484
BBC: З818:З813.53
MSC: Primary 65D19; Secondary 97N80, 97M60
Language: Russian
Citation: A. P. Mashtakov, K. A. Putintseva, “Image processing toolkit inspired by mechanisms of human visual perception”, Program Systems: Theory and Applications, 10:4 (2019), 111–139
Citation in format AMSBIB
\Bibitem{MasPut19}
\by A.~P.~Mashtakov, K.~A.~Putintseva
\paper Image processing toolkit inspired by mechanisms of human visual perception
\jour Program Systems: Theory and Applications
\yr 2019
\vol 10
\issue 4
\pages 111--139
\mathnet{http://mi.mathnet.ru/ps353}
\crossref{https://doi.org/10.25209/2079-3316-2019-10-4-111-139}
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