Image Mosaic Based On Feature Points Matching And Medical Applications

Image Stitching is a hot research problem and is widely utilized in many importantfields such as computer vision pattern recognition and biomedicine. We do some researchon image mosaics and some related method, including feature detection, matching basedon interesting points, and image fusion.Feature detection is a basic method in image processing. This article focuses on thefamous Harris and Susan operator. And a improvement is presented to enhance theprecision of the key points. On the other hand, SIFT (Scale Invariant Feature Transform)operator is a scale space-based operator. It can keep the invariance of image scaling,rotation and even affine transform, the SIFT is a effective algorithm, even in real-timework. And the theory of SIFT is based on Ganssian Pyramid. The extraction on each levelhelps to the robustness. Statistical method is used to get the orientation of the keypoints.The method is more robust.The research on image matching is the most difficult and important task in computervision. We do some study and research on the matching problems. Including the cameramotion model, the estimate an solution of perspective matrix parameter, the interpolationtechnique the deformation technique and so on. Using sorts of matching methods toextract and match the keypoints, and we get a good experiment result of image stitchingand fusioning.