Image Analysis with Legendre Moment Descriptors
Amy Chiang1 & Simon Liao1 Show affiliations
- The University of Winnipeg, Canada
Journal of Computer Science, Volume 11, Issue 1, pp. 127–136 · doi.org/10.3844/jcssp.2015.127.136
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.
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Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.
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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
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