Contour-based multisensor image registration with rigid transformation
Zhenhua Li, Henry Leung · 2007
This paper presents a contour-based multisensor image registration algorithm. The characteristic of this approach is that the registration parameters are calculated according to the centroids and the long axes of matched contour pairs in the images to be registered. It overcomes the difficulties of control point detection and correspondence in featurebased registration techniques. The geometrical deformation between the reference and sensed images is assumed to follow a rigid transformation. Salient contours are extracted from the reference and sensed images, respectively. After contour matching, open contour matches are changed to closed contour matches by linking the two endpoints of each open contour together with a line section. Registration parameters are then estimated according to the centroids and the angles of long axes of closed contour matches. Experiments using real data show that the proposed algorithm works well in multisensor image registration.