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Information × Registration Number 0214U008773, 0111U009068 , R & D reports Title Methods and means of visual aircraft detection and identification in the сamera sight popup.stage_title Head Puyda Volodymyr Yakovych, Registration Date 08-10-2014 Organization Lviv Polytechnic National University popup.description2 A "Method for automatic identification of visual objects based on their silhouettes," which is based on techniques developed digital image filtering (IF), a binary digital image segmentation (BS) and one artificial neural network (ANN), which makes the detection and identification of aircraft is developed. To reduce the errors of false alarm and false passage referred to the way it was developed a visual approach to automatically detecting and identifying aircrafts by their silhouettes, based on the 2 ANN and IF, BS combinations and BS advanced technique - grayscale, binary segmentation. To improve the filtering process and the performance of IF developed a "method of digital image filtering by means of one-dimensional recursive filters" and "Method for determining the coefficients of recursive digital filters with infinite impulse response." Product Description popup.authors Олексів Максим Васильович Торубка Тарас Васильович popup.nrat_date 2020-04-02 Close