Location of Repository

© 2010 Science Publications Robust Template Matching Using Orthogonal Legendre Moment Invariants

By Khalid M. Hosny

Abstract

Abstract: Problem statement: Template matching is a famous methodology that has a wide range of applications in image and signal processing. For a template and input image, template matching methodology finds the partial input image that is most closely matches the template image in terms of specific criterion such as the Euclidean distance or cross-correlation. Approach: In this study, a fast and robust template matching algorithm was proposed where exact Legendre moment invariants were used where a cross-correlation was employed to detect the most similar partial input image regardless of location, width and height. Results: Experimental results showed that template matching by using exact Legendre moment invariants achieve higher degree of robustness. Conclusion: Template matching by using exact Legendre moment invariants is very efficient where the high accuracy ensure the matching process and avoids any mismatching. Key words: Legendre moments, translation and scaling invariance, template matching, image features, gray-level image

Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.185.4295
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.scipub.org/fulltext... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.