doi: 10.7763/IJIET.2012.V2.178
Detection and Comparison of Objects Using Two Dimensional Geometric Moment Invariants
Y. Gangadhar1
,
D. Lakshmi Srinivasulu2 ,
V. S. Giridhar Akula1
- 1Avanthi’s Scientific Technological & Research Academy, Hyderabad-501512, India
- 2Santhiram Engineering College, Nandyal-518501, India
Abstract
In this paper, we present the concept of Moment Invariants. Objects can be detected with the help of Moment Invariants. Different Moment Invariants are discussed in this paper. The pitfalls of Fourier-Mellin Invariants and Legendre Moment Invariants are discussed. Two Dimensional Moments of n × n images are sampled and proved that 2D Geometrical Moment Invariants are far better than the other Invariants in terms of the object detection.
Keywords
- Image function
- algebraic invariants
- polar coordinates
- affine groups
- information redundancy
- fourier-mellin invariants
- legendre moment invariants
- counter-based shape descriptors
- geometric moment invariants
How to Cite
Y. Gangadhar, D. Lakshmi Srinivasulu, and V. S. Giridhar Akula, "Detection and Comparison of Objects Using Two Dimensional Geometric Moment Invariants," International Journal of Information and Education Technology, vol. 2, no. 5, pp. 458-460, 2012. https://doi.org/10.7763/IJIET.2012.V2.178
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).