Rigid body 2-D image co-registration (translation and rotation) is performed using maximization of mutual information.
Function is implemented in c-code and compiled using the Matlab compiler to minimize computation time. Current compilation will only run on a 32-Bit windows machine running 2007b. Matlab compiler is necessary to re-compile for other versions/platforms.
Mutual information joint entropy matrix is computed using the Hanning windowed sinc function as the kernel of interpolation, which is the HPV estimation method .
Maximization of the joint entropy matrix is carried out using Powel's Direction set method  with original c-code very slightly modified from J.P. Moreau's code.
 Lu X, et al., Mutual information-based multimodal image registration using a novel joint histogram estimation, Comput Med Imaging Graph (2008), doi:10.1016/j.compmedimag.2007.12.001
 Numerical Recipes, The Art of Scientific Computing By W.H. Press, B.P. Flannery, S.A. Teukolsky and W.T. Vetterling, Cambridge University Press, 1986
Matthew Sochor (2022). Automatic 2d Rigid Body Image Registration (https://www.mathworks.com/matlabcentral/fileexchange/19086-automatic-2d-rigid-body-image-registration), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
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