An image attribute

principal phase congruency(PPC)is defined and used to register medical images.Phase congruency is computed on different scale and orientation.Principal phase congruency can be developed from a fusion of the phase congruency by using principal component analysis.A fuzzy similarity measure is chosen as the registration function.We evaluate the effectiveness of the proposed approach by applying it to the simulated and real brain image data.Experimental results indicate that the function is less sensitive to low sampling resolution and noise

do not contain incorrect global maxima that are sometimes found in the traditional algorithm.