Sensitivity analysis of similarity metrices for image matching

Abstract

This paper presents simulation results on the performance of similarity metrices for image matching. Specifically, matching and determining the transformation between slightly rotated images are addressed. The use of a correlation function and an error function as similarity metrices is reexamined when there is a coupling between translation and rotation. Sensitivity of these two metrices in the above context is compared. A hybrid iterative strategy is proposed based on the sensitivity analysis to enhance the matching accuracy.<>