Automatic 2d Rigid Body Image Registration

version 1.0.0.0 (112 KB) by Matthew Sochor
Automatic 2d rigid registration using improved MI kernel

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Updated 19 Mar 2008

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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 [1].

Maximization of the joint entropy matrix is carried out using Powel's Direction set method [2] with original c-code very slightly modified from J.P. Moreau's code[3].

[1] 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

[2] 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

[3]http://pagesperso-orange.fr/jean-pierre.moreau/Cplus/tpowell_cpp.txt

Cite As

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
Created with R2007b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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