TARGET RECOGNITION BASED ON CENTRAL AND LOGARITHMIC CENTRAL IMAGE CHORD TRANSFORMATIONS
2021
Veaceslav Perju
Object recognition is of great importance for many civil and military applications and supposes the identification and classification of the object in real-time, regardless of spatial position, angular orientation, etc. In the article, the methods of central and logarithmic central image chord transformations are described. The system for invariant object recognition and space parameters determination was developed based on the proposed image chord transformation operations, which is of a multiprocessor functionally distributed architecture, in which various modules implement separate image processing operations, and allows to recognize the objects regardless of their position, scale, or rotation, and to determine the parameters for targeting The model of a data processing flow in the system was elaborated to permit the determination of the signal processing stages which can be realized in parallel. An analytical estimation and analysis of the system?s data processing time and throughput is carrying out. The approach of the system?s optimization was applied and allows to decrease the total data processing time by 24.5 times and increase the system?s throughput by 75 times.
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