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Języki publikacji
Abstrakty
The article describes the research of image analysis methods. The methods of indexing images for the search of duplicate images, as well as methods for finding similar images based on the definition of key points are described. The prototype of the system was created, and testing of the described methods was carried out. The result of the analysis became the basis for the information system project of reverse search of similar or identical images.
Czasopismo
Rocznik
Tom
Strony
23--30
Opis fizyczny
Bibliogr. 24 poz., rys.
Twórcy
autor
- Lviv Polytechnic National University, Lviv, Ukraine
autor
- Lviv Polytechnic National University, Lviv, Ukraine
autor
- Lviv Polytechnic National University, Lviv, Ukraine
autor
- Lviv Polytechnic National University, Lviv, Ukraine
Bibliografia
- 1. L. Shapiro, G. Stockman. 2006. Computer vision. Washington University. – 752 р.
- 2. A. Biloshchytsʹkyy, O. Dikhtyarenko. 2013. The effectiveness of methods for finding matches in texts. Managing the development of complex systems. - № 14. – Р. 144 – 147. (in Ukrainian).
- 3. N. S. Shozda. 2002. Searching for textures in large databases. Informatics, Cybernetics and Computing. Donetsk. Ukraine. n. 39, - P. 182 - 187. (in Ukrainian).
- 4. A. Biloshchytsʹkyy, O. Dikhtyarenko. 2014. Optimize the match search system by using algorithms for locally sensitive hashing of text data sets. Managing the development of complex systems. - № 19. – Р. 113 – 117. (in Ukrainian).
- 5. P. F. Alcantarilla, J. Nuevo, A. Bartoli. 2013. Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces. British Machine Vision Conference (BMVC).
- 6. S. Grewenig, J. Weickert, C. Schroers, A. Bruhn. 2013. Cyclic Schemes for PDEBased Image Analysis. International Journal of Computer Vision.
- 7. E. Rublee, V. Rabaud, K. Konolige, G. Bradski. 2011. ORB: an efficient alternative to SIFT or SURF, Computer Vision. (ICCV), IEEE International Conference. – P. 2564 – 2571.
- 8. E. Rosten, T. Drummond. 2006. Machine learning for high-speed corner detection. 9th European Conference on Computer Vision (ECCV). – P. 430 – 443.
- 9. X. Yang, K. T. Cheng. 2012. LDB: An ultra-fast feature for scalable augmented reality. In IEEE and ACM Intl. Sym. on Mixed and Augmented Reality (ISMAR). – P. 49 – 57.
- 10. M. Calonder, V. Lepetit, C. Strecha, P. Fua. 2010. BRIEF: Binary Robust Independent Elementary Features. 11th European Conference on Computer Vision (ECCV). – P. 778 – 792.
- 11. S. Leutenegger, M. Chli, R. Siegwart. 2011. BRISK: Binary Robust Invariant Scalable Keypoints. Zurich. - P. 2548 – 2555.
- 12. V. V. Litvin, N. B. Shakhovska. 2000. Designing Information Systems: Teaching. Manual. Lviv: Novyy svit. 380 p. (in Ukrainian).
- 13. Eckel B. 2001. Philosophy Java: Programmer's Library. St.Petersburg: Peter. - 980 p. (in Russia).
- 14. Mashnin T. 2012. JavaFX 2.0. Development of RIA applications. - BHV-Petersburg. - 320 p. (in Russia).
- 15. M. Davis, J. Phillips. 2008. Studying PHP and MySQL. - M .: Symbol-Plus. - 442 p. (in Russia)
- 16. Bernard V. H. 1999. JDBC: Java and Databases. M .: Izd. Lori. - 324 p. (in Russia)
- 17. Gamma E. 2007. Methods of object-oriented design. Design Patterns. St. Petersburg: Publishing House "Peter". 366 p. (in Russia)
- 18. G. Shildt, D. Holmes. 2005. The Art of Programming on JAVA . - M .: Izd. House Williams. 336 p. (in Russia)
- 19. Shakhovska N. B. 2011. Formal presentation of data space as an algebraic system. System Research and Information Technologies / National Academy of Sciences of Ukraine, Institute for Applied Systems Analysis. – Kyiv, 2011. – № 2. – С.128 – 140. (in Ukrainian).
- 20. Shakhovska N. B., Bolubash Yu. Ja., Veres O. M. 2015. Big Data Federated Repository Model // The Experience of Designing and Application of CAD Systems in Microelectronics (СADMS’2015) Proc. of the XIII-th Int. Conf., (Polyana-Svalyava (Zakarpattya), Ukraine, 24-27 February, 2015). – Lviv: Publishing Lviv Polytechnic, 2015.– P. 382-384. (in Ukrainian).
- 21. N. Shakhovska, O. Veres, Y. Bolubash, L. Bychkovska-Lipinska. 2015. Data space architecture for Big Data managering. Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies" (CSIT’2015). pp. 184-187, Lviv, 2015. DOI: 10.1109/STC-CSIT.2015.7325461
- 22. O. Veres, N. Shakhovska. 2015. Elements of the formal model big date. XI International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH’2015), pp. 81-83, Lviv, 2015. (in Ukrainian).
- 23. N. Shakhovska, O. Veres, M. Hirnyak. 2016. Generalized formal model of Big Data. ECONTECHMOD: an international quarterly journal on economics of technology and modelling processes. Vol. 5, no. 2, pp. 33–38, 2016.
- 24. N. Shakhovska, O. Veres, Y. Bolubash. 2015. Big Data Model "Entity and Features". ECONTECHMOD: an international quarterly journal on economics of technology and modelling processes. Vol. 4, no. 2, pp. 51–58, 2015.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5481c2aa-e425-49f8-8c67-46795f30fe6a