An Automated Image Registration Method Based on Corner Feature

Image registration plays an import role in image processing and computer vision. An automated image registration method based on corner feature is proposed to deal with the registration of image of similarity geometric distortion in this paper.Corners are extracted by an improved technique based on Harris and then compose virtual triangles.According to the principle that the corresponding virtual triangles are similar in the reference and sensed images under the similarity transformation,the most similar two virtual triangles can be found.Their corresponding vertexes are used as control points and the parameters of similarity transformation are obtained.The proposed method is guaranteed to register images if only three corresponding corners are extracted from the reference and sensed images.Another advantage of the method is that there is theoretically no limited to scale,translation and rotation of two images.The experiment results prove that the proposed method is accurate and effective.