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ISSN: 1549-3636 (Print)
ISSN: 1552-6607 (Online)
Research Article Open Access

Image Analysis with Legendre Moment Descriptors

Amy Chiang1 and Simon Liao1
  • 1 The University of Winnipeg, Canada

Abstract

In this research, a numerical integration method is proposed to improve the computational accuracy of Legendre moments. To clarify the improved computation scheme, image reconstructions from higher order of Legendre moments, up to 240, are conducted. With the more accurately generated moments, the distributions of image information in a finite set of Legendre moments are investigated. We have concluded that each individual finite set of Legendre moments will represent the unique image features independently, while the even orders of Legendre moments describe most of the image characteristics.

Journal of Computer Science
Volume 11 No. 1, 2015, 127-136

DOI: https://doi.org/10.3844/jcssp.2015.127.136

Submitted On: 23 April 2014 Published On: 15 September 2014

How to Cite: Chiang, A. & Liao, S. (2015). Image Analysis with Legendre Moment Descriptors. Journal of Computer Science, 11(1), 127-136. https://doi.org/10.3844/jcssp.2015.127.136

Open AccessCopyright: © 2015 Amy Chiang and Simon Liao. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Legendre Moments
  • Image Reconstruction
  • Image Analysis