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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.