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The Image Stabilization Algorithms Testing System

Authors: Gavrilov D.A., Ivkin A.V., Shchelkunov N.N. Published: 07.12.2018
Published in issue: #6(123)/2018  
DOI: 10.18698/0236-3933-2018-6-22-36

 
Category: Informatics, Computer Engineering and Control | Chapter: System Analysis, Control, and Information Processing  
Keywords: algorithms of stabilization, computer vision, processing of video images

The study introduces a system for testing image stabilization algorithms. The analysis of input data is performed, ways of representing possible distortions are considered, algorithms for further tests are selected. A test bench was developed to test each algorithm and evaluate its applicability in the task of combining frames. The system for testing image stabilization algorithms consists of a parameterized video sequence generator that simulates a tracking mode, a parameterized distortion and interference generator, an error analysis algorithm for the alignment algorithm, and a report generation module. In the parameterized distortion generator, a physically correct noise model is implemented, as well as a model of interference in the image. The critical values of the distortion parameters of each tested algorithm are established experimentally. The testing and comparison of the selected algorithms was carried out. On the basis of the analysis of the obtained results, the most suitable algorithm was chosen for search of the combination of frames in real time

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