Research Of Electronic Image Stabilization Algorithm Based On Improved Canny Edge-detection Operator

Electronic image stabilization is a new technology to stabilize image sequence, which is combined of computer digital image processing and electronic technology to achieve the stability in the image sequence. It has a lot of advantages, such as high image stabilizing precision, compact size, low power consumption, reasonable price and easy to operate. Therefore it has been widely used in the detection and elimination of video's dithering, video compression, the moving target detection and tracking, image mosaic, etc. This thesis, supported by the item of the design of CCD camera on the 1st Tianxun Moonlet, has carried out an intensive study of the electronic image stabilization technique, and achieved the effective stabilization of the video image sequence.This thesis expatiates the basic principles, methods and process of the electronic image stabilization, and discusses the key technique of realization. Through the simulation of several typical algorithm, the advantages and disadvantages of each algorithm is summarized. Basing on the study of several typical algorithms for video stabilization and real-time electronic image stabilization algorithm's requirements, the improved method of Canny edge-detection algorithm is applied to electronic image stabilization.In order to solve the problem that the feature points are easily influenced by the noise, based on the research of the traditional features tracking algorithm, the improved method of Canny edge-detection algorithm for electronic image stabilization is proposed. The image edge is detected with improved Canny operator, through dividing edge detected image into many blocks in reason, the suitable feature points can be selected, which has a stable structure and the relative positions of all points are stable. So the thesis proposes the distance invariant criterion to check the feature matching, which can keep global coherence of all local motions and produce the global motion vector by establishing two-dimensional model of movement. Then the parameters of the affine model are calculated based on these points, finally, Kalman filter is applied to motion compensation to achieve the stability of the video sequences. The thesis also presents several typical feature point extraction algorithms, and has laboratory simulation and analysis in PC.In addition, the thesis introduces the evaluation methods of image stabilization. And a software simulated platform has been created to analyze and testify the performance of the improved method of Canny edge-detection algorithm for electronic image stabilization, evaluation methods is then used to analyze the effects of the stabilization. Finally, research of this thesis is summarized and given the direction of further study and improving.