Evaluation of the effectiveness of the correlation and compensation method for selecting images of objects on a non-uniform background by сomputer simulation
https://doi.org/10.34680/2076-8052.2021.4(125).97-102
Abstract
The article deals with the issues of computer modeling of methods for selecting images of objects on a non-uniform background. A test video sequence with the specified background and object parameters is considered. The issues of computer simulation of the process of forming such a video sequence are discussed. Examples of test images of the object and background are given. The results of comparing the accuracy of the correlation-extreme and compensation methods of selection of a small-sized object on a non-uniform background, obtained by computer simulation using a test video sequence, are considered. The issues of combined application of the above selection methods for conditions of increasing the image size of an object in the process of video surveillance on a non-uniform sedentary background are discussed.
About the Authors
N. P. Kornyshev
Новгородский государственный университет имени Ярослава Мудрого
Russian Federation
Russian Federation
D. A. Serebryakov
Новгородский государственный университет имени Ярослава Мудрого
Russian Federation
Russian Federation
References
1. Andreev A.L., Korotaev V.V., Pashkovskiy A.M. Selektsiya izobrazheniy malorazmernykh ob"ektov na neodnorodnom fone v usloviyakh pomekh [Selection of the small-size objects images on the heterogeneous background under the interference conditions]. Izv. Vuzov. Priborostroenie – Journal of Instrument Engineering, 2013, vol. 6, no. 10, pp. 88-93.
2. Morozov A.V. Adaptivnaya binarizatsiya izobrazheniy zvezdnogo neba [Adaptive binarization of images of the starry sky] Voprosy radioelektroniki. Ser.: Tekhnika televideniya – Questions of radio-electronics. The TV equipment series, 2017, no. 1, pp. 23-30.
3. Kornyshev N.P., Serebrjakov D.A. Komp'yuternoye modelirovaniye fonotselevoy obstanovki pri otsenke effektivnosti metodov selektsii ob"yektov na neod-norodnom fone [Computer simulation of the background-target environment when evaluating the effectiveness of selection methods for objects on a non-uniform background]. Vestnik Novgorodskogo gosudarstvennogo universiteta – Vestnik NovSU, Issue: Engineering Sciences, 2020, no. 2(118), pp. 79-83. doi: https://doi.org/10.34680/2076-8052.2020.2(118).79-83
4. Kornyshev N.P., Serebrjakov D.A. Estimation of the probability of correct determination of the coordinates of an object in computer modeling of methods for selecting their images. Journal of Physics: Con. Series. 2020, v. 1658, article number: 012029. doi: https://doi.org/10.1088/1742-6596/1658/1/012029
5. Kornyshev N.P., Serebrjakov D.A. Issledovaniye metoda selektsii izobrazheniya malorazmernogo ob"yekta na neodnorodnom fone [Research of selection method of the small object image on a non-uniformity background]. Vestnik Novgorodskogo gosudarstvennogo universiteta – Vestnik NovSU, Issue: Engineering Sciences, 2020, no. 5(121), pp.49-52. doi: https://doi.org/10.34680/2076-8052.2020.5(121).49-52
6. Gonsalez R., Woods R. Digital Image Processing. Pearson, 2007, 972 p. (Rus. ed.: Gonsalez R., Woods R. Tsifrovaya obrabotka izobrazheniy. Moscow, Tekhnosfera, 2005, 1072 p.).
7. Kornyshev N.P. Serebryakov D.A. Sposob selektsii izobrazheniya ob"ekta na neodnorodnom fone [Selection method for the image on a non-uniform background]. Patent RF, no. 2734655, 2020.
8. Kornyshev N.P., Serebryakov D.A. Adaptatsiya metoda selektsii izobrazheniya malorazmernogo ob"yekta na neodnorodnom fone k usloviyam videonablyudeniya [Adaptation of the selection method for the image of a small-sized object on a non-uniform background to the conditions of video surveillance]. Vestnik Novgorodskogo gosudarstvennogo universiteta – Vestnik NovSU, Issue: Engineering Sciences, 2020, no. 2(123), pp. 66-70. doi: https://doi.org/10.34680/2076-8052.2021.2(123).66-70
Review
For citations:
Kornyshev N.P., Serebryakov D.A. Evaluation of the effectiveness of the correlation and compensation method for selecting images of objects on a non-uniform background by сomputer simulation. Title in english. 2021;(4(125)):97-102. (In Russ.) https://doi.org/10.34680/2076-8052.2021.4(125).97-102
Views:
45
Email this article 