Title :
Image Registration using Non-Linear Diffusion
Author :
Ceccarelli, M. ; Bisceglie, M. Di ; Galdi, C. ; Giangregorio, G. ; Ullo, S.L.
Author_Institution :
Univ. degli Studi del Sannio, Benevento
Abstract :
An image registration algorithm based on mutual information maximization and non-linear diffusion is presented. It relies on a non-parametric estimation of the degree of dependency between the reference image and the template to be registered, which is intrinsically more robust against possible deformations due to imaging geometry and propagation disturbances. The approach based on non linear diffusion, nonetheless, has the advantage of producing a non-parametric discrete warping model which does not rely on a particular set of basis functions, and is therefore as much general as possible. The experimental results on simulated images have quantitatively shown the accuracy of the proposed method.
Keywords :
diffusion; geophysical signal processing; image registration; discrete warping model; image registration; mutual information maximization; nonlinear diffusion; nonparametric estimation; Displacement control; Geometry; Image registration; Interferometry; Mutual information; Polynomials; Remote sensing; Robustness; Smoothing methods; Terrain mapping; Image registration; non linear diffusion;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4780067