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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