Registering Retinal Vessel Images from Global to Local via Multiscale and Multicycle Features.

1. In Dataset/Image/, there is only one pair of example images. The index.txt presents one pair of retinal images from same eye in every row.
2. Run ./preconditioning.m first to preprocess retinal images and obtain skeleton images, the results are saved in Dataset/Skeleton/.
3. The file sdfs.cpp is known as Space-based Depth-First Search algorithm for finding the cycle structures, which should be compiled prior to use such as g++ sdfs.cpp -o sdfs in Linux and Mac OS X systems.
4. Run ./registration.m to save optimal registration result of retinal images in Results/.

1. The code is run with 64-bit Matlab R2013a on Mac OS X Yosemite, so two *.cpp files should be recompiled in other operating systems, which are in PreProcessing/mex.
2. The legacy flag of unique and intersect functions should be removed in Matlab R2012b and prior releases in your code, and the two functions are applied in export_featuremat.m, export_loop.m and find_loop.m files.