Istrazivanja i projektovanja za privreduJournal of Applied Engineering Science

CREATION OF IMAGE MODELS FOR EVOLVing OBJECTS ON DYNAMICALLY CHANGing SCENES


DOI: 10.5937/jaes15-14252
This is an open access article distributed under the CC BY-NC-ND 4.0 terms and conditions. 
Creative Commons License

Volume 15 article 485 pages: 540 - 545

Yury Ipatov
Volga State University of Technology, Russia

Alexandr Krevetsky
Volga State University of Technology, Russia

Yury Andrianov
Volga State University of Technology, Russia

Boris Sokolov
Saint Petersburg Institute of Informatics and Automation, Russian Academy of Sciences (SPIIRAS), Russia, Saint Petersburg

An overview of the theoretical approaches to the formation of models images by key features. Dynamically changing scene images with selected objects of interest and background is reviewed. The statistical characteristics of this class of images are explored. Model convex hulls sampling distributions background / object in different colorimetric spaces were obtained. Synthesized model ellipsoids based on them using optimization methods give a good score for approximate calculation. Identified areas for further research and the use of the current results. Estimates of segmentation quality for algorithms based on synthesized models are calculated.

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S. Belongie. С. Carson. H. Greenspan, et al. Color-and textnre-based image segmentation using EM and its application to content-based image retrieval. In Proceedings of the International Conference on Computer Vision (ICCV'98). Bombay. India. January 1998.

Sun Z., Bebis G., Miller R. On-Road Vehicle Detection: A Review // IEEE Transactions on pattern analysis and machine intelligence. May 2006. V. 28. N. 5. Pp. 694-711.

Biometricheskie metody zashhity informacii: uchebno-metodicheskoe posobie / A. M. Prudnik, G. A. Vlasova, Ja. V. Roshhupkin. - Minsk : BGUIR, 2014. - 123 p.

Strieker M. Similarity of Color Images / M. Strieker, M. Orengo Proceedings of the SPIE Conference. 1995. Vol.2420. Pp. 381-392.

Black. К Kaliol. G Fahmy, P Kuchi, S Panclianathan. Characterizing the high-level content of natural images using lexical basis functions. Human Vision and Electronic Imaging Conference SPIE 2003, Santa Clara.

Prjett U. Cifrovaja obrabotka izobrazhenij. Kn.1,2. — M: Mir, 1982.

Oppengejm A., Shafer R. Cifrovaja obrabotka signalov. Izd. 2-e, ispr. – M.: Tehnosfera, 2007. - 856 p.

Ipatov Ju.A., Tockij A.A. Issledovanie izobrazhenij dinamicheski izmenjajushhihsja scen v kolorimetricheskom prostranstve // Kibernetika i programmirovanie. — 2015. - № 4. - pp.36-48. DOI: 10.7256/2306-4196.2015.4.16158. URL: http://e-notabene. ru/kp/article_16158.html

Tochechnye polja i gruppovye obekty / Ja. A Furman, A. A Rozhencov, R. G. Hafi zov, D. G. Hafi zov, A. V. Kreveckij, R. V. Eruslanov; pod obshh. red. prof. Ja. A. Furmana. - M: FIZMATLIT, 2014. - 440 p.

Prikladnaja teorija sluchajnyh processov i polej / K. K. Vasil'ev, Ja. P. Dragan, V. A. Kazakov, V. R. Krasheninnikov, Ju. P. Kunchenko, V. A. Omel'chenko, A. P. Trifonov, A. A. Spektor ; pod red. K. K. Vasil'eva, V. A. Omel'chenko. – Ul'janovsk : UlGTU, 1995. – 256 p.

Ipatov Ju.A., Kreveckij A.V. Metody obnaruzhenija i prostranstvennoj lokalizacii grupp tochechnyh obektov // NB: Kibernetika i programmirovanie. — 2014. - № 6. - pp.17-25. DOI: 10.7256/2306- 4196.2014.6.13642. URL: http://e-notabene.ru/kp/article_13642.html

Kompleksnye i giperkompleksnye sistemy v zadachah obrabotki signalov /Pod red. Ja. A. Furmana. M.: Fizmatlit, 2004. Rjabinin K.B., Furman Ja.A., Krasil'nikov M.I. Provolochnaja model' prostranstvennogo gruppovogo tochechnogo obekta//Avtometrija, 2008, №3. - pp. 3-16.

Kreveckij A.V., Chesnokov S.E. Kodirovanie i raspoznavanie izobrazhenij mnozhestv tochechnyh ob#ektov na osnove modelej fi zicheskih polej// Avtometrija, 2002. – №3. – pp. 80–89.

Preparata F. Vychislitel'naja geometrija: Vvedenie / F. Preparata. M. Shepmos. - M.: Mir, 1989. - 478 p.

Bronshtejn E.M. Approksimacija vypuklyh mnozhestv mnogogrannikami// Sovremennaja matematika. Fundamental'nye napravlenija - 2007. - Tom. 22. - pp. 5-37.

Kamenev G. K. Metod polijedral'noj approksimacii vypuklyh tel, optimal'nyj po porjadku chisla raschetov opornoj i distancionnoj funkcii// Doklad RAN. – 2003.–388. – pp. 309-311.

Ovseevich A.I. Svojstva optimal'nyh jellipsoidov, priblizhajushhih oblasti dostizhimosti sistem s neopredelennostjami / A.I. Ovseevich, F.L. Chernous'ko // Izv. RAN «Teorija i sistemy upravlenija». – 2004.– № 4. – pp. 8-18. http://cvxr.com/cvx/

Chernov N., Lesort C. Least squares fi tting of circles // J. of Math. Imaging and Vision. 2005. Vol. 23. Pp. 239–251.

Mikhlyaev S.V. Method for measuring the diameter of a growing crystal // Pattern Recognition and Image Analysis. 2005. Vol. 15, №4. Pp. 690–693.