Image Template Matching Using Location of Pixels on Extreme Gray-Level in Local Area

Abstract

This paper proposes a template matching method, (ELM: Extreme gray-levels Location in local area Matching) which is based on location of extreme gray-level pixels in local area. In the method, the extreme gray-level pixels location in a local area is registered to every pixel in a template image. The objective image area is searched from the matching ratio, which is obtained from sum of difference between objective image and template image whose location of maximum and minimum gray-level pixels in local area. The experimental results show that the proposed method had equal or better robustness to the inferior factors of objective images in comparison with the typical two conventional template matching methods.