15 November 2017 A novel algorithm for electronic image stabilization based on improved optical flow
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Proceedings Volume 10605, LIDAR Imaging Detection and Target Recognition 2017; 1060525 (2017) https://doi.org/10.1117/12.2292716
Event: LIDAR Imaging Detection and Target Recognition 2017, 2017, Changchun, China
Abstract
Aiming at the problem of the jitter of video sequence recorded by the strapdown seeker in the terminal guidance process, a novel algorithm for electronic image stabilization based on improved optical flow is proposed. The algorithm uses Shi-Tomasi corner detection method to extract the image corner, and estimates the global motion parameters of jittery video sequence based on improved Pyramid LK optical flow which is designed. Then the Kalman smoothing global motion vector is adopted, which effectively makes compensation on the current image motion and retains the active movement while filtering random jitter parameters. Finally, stable image sequence output is achieved. The simulation test and the embedded platform for the actual test results indicate that the proposed algorithm has a good image stabilization effect on the translation, rotation and scaling motion of the random jittery video sequence recorded by the strapdown seeker, and possesses good robustness and real-time performance.
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Cheng-mei Li, Cheng-mei Li, Hong-yang Bai, Hong-yang Bai, Hong-wei Guo, Hong-wei Guo, Hua-ju Liang, Hua-ju Liang, } "A novel algorithm for electronic image stabilization based on improved optical flow", Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 1060525 (15 November 2017); doi: 10.1117/12.2292716; https://doi.org/10.1117/12.2292716
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