Image Registration Using Hierarchical B-Splines
IEEE Transactions on Visualization and Computer Graphics
Multimodal Image Registration Using a Variational Approach
SIAM Journal on Scientific Computing
Efficient and reliable schemes for nonlinear diffusion filtering
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Balanced feature matching in probabilistic framework and its application on object localisation
International Journal of Computer Applications in Technology
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Most implementations for image registration are produced by defining a similarity measure between two given images, then minimising an energy functional that combines both similarity and regularity measures. The registration result greatly relies on the weight parameter, which usually is given in advance, big or small parameter may produce the discontinuous deformation field or bad registration. In this paper, we discuss an adaptive parameter computing method for monomodal image registration, employ the energy functional with probability density function searching the weight parameter corresponding to the local degrees of variability in matching. Some experiments show that this method can be less sensitive to the choice of the parameter, drop the iteration step and save computation time.