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
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Head
Kokryatska Nataliya,
Registration Date
23-01-2017
Organization
State economy and technology university of transport
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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
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Герцій О.А.
Караєв П.Ю.
Кокряцька Н.І.
Петровський М.С.
Поплавська А.А.
Тимченко Л.І.
Шкварилюк Н.В.
Яровий А.А.
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2020-04-02
