Journal of Computer Science

Image Analysis with Legendre Moment Descriptors

Amy Chiang and Simon Liao

DOI : 10.3844/jcssp.2015.127.136

Journal of Computer Science

Volume 11, Issue 1

Pages 127-136

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.

Copyright

© 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.