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Information × Registration Number 0217U004213, 0115U000395 , R & D reports Title Optimization methods of parallel-hierarchical transformation to detect and image recognition noisy fuzzy dynamic objects on a complex background popup.stage_title Head Kokryatska Nataliya, Registration Date 23-01-2017 Organization State economy and technology university of transport popup.description2 The object of study - the process reliable detection and pattern recognition fuzzy noisy dynamic objects and predict their performance. Subject of research - methods and means of implementing reliable detection and pattern recognition fuzzy noisy dynamic objects based on FPGAs and GPGPU. The aim - to develop competitive intelligence technology of digital processing of images fuzzy noisy for reliable detection and identification of dynamic objects on a complex background. Methods and techniques - methods used in the digital processing of signals and images, methods of mathematical analysis and mathematical modeling, methods of creation of computer systems and networks for developing hardware for FPGA, methods of programming languages and high-level hardware description language program-for hardware research methods of computer simulation to verify the results. Results novelty - new methods that are based on Q - transform and parallel-hierarchical processing. The practical significance - of the proposed methods and concrete solutions allows to obtain more advanced software and hardware used for image processing in systems of information transfer. USES - organizations that use information Computer system based on calibrated radiation both in Ukraine and abroad. Product Description popup.authors Герцій О.А. Караєв П.Ю. Кокряцька Н.І. Петровський М.С. Поплавська А.А. Тимченко Л.І. Шкварилюк Н.В. Яровий А.А. popup.nrat_date 2020-04-02 Close