Medical Image Registration using Cauchy-Schwarz Inequality via Template Matching

Abstract

Template matching is one of the areas of profound interest in image processing and is a technique in digital image processing to find small parts of an image which matches a template image. Template can be considered a sub-image from the reference image, and the image can be considered as a sensed image. The objective is to find the measure of the degree of similarity between an examined image and template, and it establishes the correspondence between the examined image and template image. In this paper, an algorithm providing normalized cross correlation (NCC) for template matching is developed and implemented using MATLAB. The experimental results are presented and found that proposed algorithm is a robust method for the similarity measure.