Automatic 2d Rigid Body Image Registration
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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
引用格式
Matthew Sochor (2024). Automatic 2d Rigid Body Image Registration (https://www.mathworks.com/matlabcentral/fileexchange/19086-automatic-2d-rigid-body-image-registration), MATLAB Central File Exchange. 检索时间: .
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- Image Processing and Computer Vision > Image Processing Toolbox > Geometric Transformation and Image Registration >
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致谢
参考作品: Automatic Image Registration using (Normalized) Mutual Information for users of IP toolbox, Efficient subpixel image registration by cross-correlation
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版本 | 已发布 | 发行说明 | |
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1.0.0.0 | Added some flexibility in the code for older c compilers. Should be a little easier to re-compile for those users now. Added screenshot. |