Study On Improved Feature Points Matching Algorithm In Electronic Image Stabilization

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. Basing on the study of several typical algorithms for video stabilization and real-time electronic image stabilization algorithm's requirements, feature points matching algorithm is applied to electronic image stabilization.Basing on the research of the traditional feature points matching algorithm, this thesis presents an improved feature points matching algorithm in electronic image stabilization. Through dividing 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. Finally, the average filter is applied to motion compensation to achieve the stability of the image sequence. The thesis also presents several typical feature point extraction algorithms, and has laboratory simulation and analysis. In accordance with the requirements of our item, the method of edge points extraction based on Log operator has been selected, using multi-resolution image layering technology to improve the calculation speed.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 improved feature tracking algorithm. And the results of experiment show that this method has good performances in image stabilization...