Corner-Guided Image Registration by using Edges
This paper proposes an image registration method. Edges are detected from images and partitioned into segments as matching primitives. Then, corners on the edges are detected to guide registration. A similarity metric is proposed based on the number of pairs of matching segments. Corner mappings are sequentially tried along a segment, from which a transformation is obtained. The corner mappings are evaluated by the similarity metric under their resulting transformation. By this means, corner mappings are established by utilizing whole images. Since the sensitivity of transformation parameters to the accuracy of corner mappings, as many corner mappings as possible are used. Experimental results show that the proposed method is robust, especially when there is no integral corresponding edges between two images.