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.
Index Terms—Image function, algebraic invariants, polar coordinates, affine groups, information redundancy, fourier-mellin invariants, legendre moment invariants, counter-based shape descriptors, geometric moment invariants.
Y. Gangadhar is with the Dept of CSE, Avanthi’s Scientific Technological & Research Academy, Hyderabad-501512, India (e-mail: ygdhar@ gmail.com).
D. Lakshmi Srinivasulu is with the Dept of CSE, Santhiram Engineering College, Nandyal-518501, India (e-mail: dlsrinivas@gmail.com).
V. S. Giridhar Akula is with the Avanthi’s Scientific Technological & Research Academy, Hyderabad-501512, India (e-mail: seshagiridhar.a@gmail.com).
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.