Matching dissimilar images: model and algorithm

This paper addresses a particular problem in the area of matching dissimilar images, which can be formalized to image transform and functional minimization process. Based on the additive measuring model for sequential X-ray images with grey level deviation and the finite element technique, a class of grey level correction function and a robust matching criterion are developed, and an adaptive hierarchical searching algorithm is studied. The simplified algorithm features parallelism in certain extent. Experimental results in medical imaging application are given