01489nas a2200157 4500008004100000245005800041210005800099260001200157300001200169490000700181520104900188100001901237700001801256700001701274856004001291 2012 eng d00aRetinal Image Registration Using Geometrical Features0 aRetinal Image Registration Using Geometrical Features c06/2012 a248-2580 v263 aIn this study, we have introduced an accurate retinal images registration method using affine moment invariants (AMI's) which are the shape descriptors. First, some closed-boundary regions are extracted in both reference and sensed images. Then, AMI's are computed for each of those regions. The centers of gravity of three pairs of regions which have the minimum of distances are selected as the control points. The region matching is performed by the distance measurements of AMI's. The evaluation of region matching is performed by comparing the angles of three triangles which are built on these three-point pairs in reference and sensed images. The parameters of affine transform can be computed using these three pairs of control points. The proposed algorithm is applied on the valid DRIVE database. In general (for the case, each sensed image is produced by rotating, scaling, and translating the reference image with different angles, scale factors, and translation factors), the success rate and accuracy is 95 and 96 %, respectively.1 aGharabaghi, S.1 aDaneshvar, S.1 aSedaaghi, M. uhttp://knoesis.wright.edu/node/2735