The Research On Image Registration Based On Feather Points

Image registration as the foundation of the realization of image fusion, is one of the key technologies of digital image processing. With the development of digital technology, image registration technology has been applied in various fields, such as remote sensing, medicine, computer vision, etc. For one scene, there will be many differences between images obtained from different viewpoints using different sensor. We use the technology of image registration to get more comprehensive information of the scene.Image registration is the process of transforming different images which obtained from different imaging conditions (light, viewpoints, time, sensors, etc.) into one coordinate system. Through translation, rotation and scaling distortion, keep stay images geometric consistency.This paper studies the image registration method based on point characteristics. The purpose is to realize image registration more fast and accurate between huge different images. The main content includes the following aspects:1. Based on a lot of experimental research, this paper puts forward the general process of image registration, and in this part of the various steps were analyzed and explained, especially the geometry transform and interpolation is the most detailed.2. Test a variety of detection algorithms and analyze their main performances. An improved Harris corner detection algorithm is proposed in this paper. And the multi-scale space and fuzzy coefficient is introduced into the algorithm. For larger images, chunk, use local threshold. The experiment has proved that the method significantly improves the uneven distribution of feature points in large image.3.This paper introduces several kinds of commonly used similarity measures, including respective calculation methods and application scope.4. This paper proposes a new feature point matching algorithm. The experiment shows that the matching effect is improved compared with traditional methods.In this paper, every step of the image registration and many corner detections have been comprehensive discussed. A new registration method is proposed. This paper adopts the ratio between the nearest distance and the second nearest distance from two directions to achieve the initial matching. Then use the method of random sampling consensus to optimize the matching. Last, test the conformance of the points by the neighborhood gray level information. Finally, verify the effectiveness of the proposed algorithm through the experiment based on the MATLAB.In this paper, there is still a shortage of the paper. All images used are from the digital camera, not to use the medical images, remote sensing images. For multi-source image sensor, the applications have some limitations.