Analysis of Gaussian-Hermite Moment Invariants on Image Geometric Transformation
Chao Xin Zhang, Ping Xi · Applied Mechanics and Materials · 2014
Gaussian-Hermite moments and their invariants have been widely used in image processing and pattern recognition. The moments are strictly invariant for the continuous function. However, the digital images are discrete. The image function and the moment imvariants may change during image geometric transformation. To address this problem, an analysis with respect to the fluctuation of moment invariants on image geometric transformation is presented. The guidance is provided as well to minimizing the fluctuation of the Gaussian-Hermite moments.