ISSN 2079-3537      

 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                                                                                             
Scientific Visualization
Issue Year: 2016
Quarter: 1
Volume: 8
Number: 1
Pages: 156 - 167
Article Name: IMPROVING VISUALIZATION QUALITY OF THE HOMOGENEOUS VISUAL ENVIRONMENT
Authors: M.V. Martynyuk (Russian Federation), E.S. Kadilenko (Russian Federation), S.G. Chanova (Russian Federation), K.A. Prokofieva (Russian Federation), D.R. Timofeev (Russian Federation), D.I. Zhurba (Russian Federation), V.S. Naumov (Russian Federation)
Address: M.V. Martynyuk
m_mart@mail.ru
Nizhny Novgorod State Technical University named after R.E. Alekseyev, N. Novgorod, Russia

E.S. Kadilenko
evgeny.kadilenko.mera@gmail.com
Nizhny Novgorod State Technical University named after R.E. Alekseyev, N. Novgorod, Russia

S.G. Chanova
sv_chanova@mail.ru
Nizhny Novgorod State Technical University named after R.E. Alekseyev, N. Novgorod, Russia

K.A. Prokofieva
ks.prokofjeva@gmail.com
Nizhny Novgorod State Technical University named after R.E. Alekseyev, N. Novgorod, Russia

D.R. Timofeev
td.renatovich@mail.ru
Nizhny Novgorod State Technical University named after R.E. Alekseyev, N. Novgorod, Russia

D.I. Zhurba
arhans2012@gmail.com
Nizhny Novgorod State Technical University named after R.E. Alekseyev, N. Novgorod, Russia

V.S. Naumov
naumov48@mail.ru
Moscow State University of civil engineering, Moscow, Russia
Abstract: We propose an algorithm to search and underline the edges of low-contrast objects in the image. The image is brought to the form that contributes to less fatigue of a viewer during the prolonged observation. A distinctive feature of the algorithm is that the changes made to the frame are minimal, and the results of its application are clearly visible in the low-contrast images and almost invisible in the high-contrast images. By its action the algorithm resembles manual retouching of the photos.
The article illustrates the main stages of the algorithm and gives evaluation of its operation speed. The work contains the results of processing of several graphics files and videos.
The proposed algorithm can be used in the system of technical vision of the vehicle for better visualization of the surrounding area in poor visibility conditions. It can also improve the perception of poorly lit areas of space without the use of additional lighting.
This work was financially supported by the government in the face of the Russian Ministry of Education (the unique identifier of the project: RFMEFI57414X0055).
Language: English


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