Affine image registration with curve mapping

Abstract

This paper proposes an affine image registration technique formulated in a hypothesis-test framework. The technique is based on a mapping algorithm which matches curves and junctions (edge corners) to achieve registration. A similarity metric based on partitioned (short) curves is utilized to narrow the space of possible junction mappings (hypotheses) and the transformation matrix of junction and curve mappings are analyzed (testing) to find the best affine registration of two images. Experimental results show that the proposed algorithms can effectively align images.