A method for localizing a reference object in a current image with several bright objects

Alexander Sotnikov, Volodymyr Tarshyn, Nataliia Yeromina, Serhii Petrov, Nataliіa Antonenko

Abstract


To ensure the effective functioning of the correlation-extreme navigation systems (CENSs), a method is developed to localize a reference object (RO) in a current image (CI) with several bright objects. The peculiarity of the method consists in converting the CI to a binary unit by determining the average value of the background and setting it for the threshold of the image quantization, which in turn determines the amount of probabilities of errors of the first and second kinds as well as entails assigning the objects of the viewing surface (VS) and the backgrounds to two classes: the RO and the background. The CI model is represented by the brightness values of the corresponding objects and backgrounds of the VS in the differentiation elements. In the model of the current image, the RO has the highest brightness. Other objects that are similar in brightness and commensurate with the RO are categorized as false. The reference image (RI) is set by the contrast mark and the geometrical shape of the object, and it is binary. An algorism has been developed for localizing the RO in an image by searching for a fragment of a binary CI with a maximum value of units that coincides with the RI. The peculiarity of the algorithm consists in adapting the application procedure for the threshold conversion of a CI with an unknown value of the signal-noise ratio. A method has been developed to clarify the maximum value of the DF and to determine the coordinates of the RO in the field of the CI matrix. The method consists in the summation of the number of units of different sections and finding the highest value of the DF. The highest value of the DF coincides with the full match between the CI and the RI. An analytical expression has been obtained for the estimation of the probability of localizing the RO. The expression establishes dependence of the probability of localizing the RO on the parameters that are specified in the stages of solving the problem of localizing the RO, which are the identification, the multi-threshold selection, and the specification of the maximum DF. By modeling the process of forming the DF, numerical estimates have been obtained for the probability of localizing the RO. The research results indicate the feasibility of using the proposed method in a CENS in relation to a VS with several bright objects.


Keywords


current image; identification and selection of a multi-threshold reference object; unimodal decision function

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References


Tarshyn, V. A., Sotnikov, A. M., Sidorenko, R. G., Megelbey, V. V. (2015). Preparation of reference patterns for high-fidelity correlation-extreme navigation systems on basis of forming of paul fractal dimensions. Systemy Ozbroiennia i Viiskova Tekhnika, 2 (42), 142–144.

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Potapov, A. A. (2013). Fractal paradigm and fractal-scaling methods in fundamentally new dynamic fractal signal detectors. 2013 International Kharkov Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves. doi: 10.1109/msmw.2013.6622151


GOST Style Citations


Tarshyn, V. A. Preparation of reference patterns for high-fidelity correlation-extreme navigation systems on basis of forming of paul fractal dimensions [Text] / V. A. Tarshyn, A. M. Sotnikov, R. G. Sidorenko, V. V. Megelbey // Systemy Ozbroiennia i Viiskova Tekhnika. – 2015. – Issue 2 (42). – P. 142–144.

Tarshyn, V. A. Preparation of reference patterns for high-fidelity cross-correlation-extreme systems of navigation on basis of the use direct cross-correlation analysis [Text] / V. A. Tarshyn, A. M. Sotnikov, R. G. Sidorenko // Nauka i Tekhnika Povitrianykh Syl Zbroinykh Syl Ukrainy. – 2015. – Issue 2 (19). – P. 69–73.

Vorobiov, O. Development of radioisotopic-plasma technology for the protection of radio electronic means from powerful electromagnetic radiation [Text] / O. Vorobiov, V. Savchenko, A. Sotnikov, V. Tarshyn, T. Kurtseitov // Eastern-European Journal of Enterprise Technologies. – 2017. – Vol. 1, Issue 5 (85). – P. 16–22. doi: 10.15587/1729-4061.2017.91642 

Pahomov, A. A. Obrabotka iskazhennyh atmosferoy izobrazheniy, poluchennyh aviacionnymi kompleksami [Text] / A. A. Pahomov, A. A. Potapov // Radiotekhnika. – 2015. – Issue 5. – P. 144–145.

Fernandes, L. A. F. Real-time line detection through an improved Hough transform voting scheme [Text] / L. A. F. Fernandes, M. M. Oliveira // Pattern Recognition. – 2008. – Vol. 41, Issue 1. – P. 299–314. doi: 10.1016/j.patcog.2007.04.003 

Fursov, V. A. Localization of objects contours with different scales in images using Hough transform [Text] / V. A. Fursov, S. A. Bibikov, P. Yu. Yakimov // Komp'yuternaya Optika. – 2013. – Vol. 37, Issue 4. – P. 496–502.

Maji, S. Object detection using a max-margin Hough transform [Text] / S. Maji, J. Malik // 2009 IEEE Conference on Computer Vision and Pattern Recognition. – 2009. doi: 10.1109/cvpr.2009.5206693 

Katulev, A. N. Adaptivniy metod i algoritm obnaruzheniya malokontrastnyh ob'ektov optiko-ehlektronnym sredstvom [Text] / A. N. Katulev, A. A. Kolonskov, A. A. Hramichev, S. V. Yagol'nikov // Opticheskiy Zhurnal. – 2014. – Issue 2. – P. 29–39.

Gnilitskii, V. V. Decision making algorithms in the problem of object selection in images of ground scenes [Text] / V. V. Gnilitskii, V. V. Insarov, A. S. Chernyavskii // Journal of Computer and Systems Sciences International. – 2010. – Vol. 49, Issue 6. – P. 972–980. doi: 10.1134/s1064230710060158 

Bogush, R. Minimax Criterion of Similarity for Video Information Processing [Text] / R. Bogush, S. Maltsev // 2007 Siberian Conference on Control and Communications. – 2007. doi: 10.1109/sibcon.2007.371310 

Potapov, A. A. Fractal paradigm and fractal-scaling methods in fundamentally new dynamic fractal signal detectors [Text] / A. A. Potapov // 2013 International Kharkov Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves. – 2013. doi: 10.1109/msmw.2013.6622151 



DOI: https://doi.org/10.15587/1729-4061.2017.101920

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Copyright (c) 2017 Alexander Sotnikov, Volodymyr Tarshyn, Nataliia Yeromina, Serhii Petrov, Nataliіa Antonenko

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ISSN (print) 1729-3774, ISSN (on-line) 1729-4061