Comparison of image registration methods for composing spectral retinal images

In this paper, the applicability of a set of image registration methods for the composition of spectral retinal images is studied. The registration methods are quantitatively compared using synthetic channel image data of an eye phantom and a semisynthetic set of retinal channel images generated by using known transformations. The experiments show that generalized dual-bootstrap iterative closest point method outperforms the other evaluated methods in registration accuracy, measured in pixel error, and the number of successful registrations.