Copula based rigid-body image registration.

The literature presents a wide number of algorithms in the field of image registration. However, analysis of the literature revealed that much emphasis has not been placed on copula based image registration. Thus this thesis seeks to explain the image registration problem and how it may be solved using copula based measures. Here we are aiming to combine the MATLAB fminsearch optimization method with copula based alignment measure, in order to monitor the performance of copula based alignment measure in image registration. Performance of four copula functions namely, Clayton, Frank, Gaussian and Marshal-Olkin are tested in image registration algorithm. A comparison is then posited of the performance of the four copula functions in image registration. These four copula measures are then compared with the well known method of image registration alignment measure, that is the joint histogram based mutual information. The accuracy and speed of the image registration algorithm was monitored on aerial and medical (MRI) images. Since we are using rigid-body transformations, the image registration algorithm is categorized as rigid body image registration. --Leaf i.