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Recognition of patterns in vector fields by Gaussian-hermite invariants
Conference proceeding

Recognition of patterns in vector fields by Gaussian-hermite invariants

Bo Yang, Jitka Kostkova, Jan Flusser, Tomas Suk, Roxana Bujack and IEEE
2017 IEEE International Conference on Image Processing (ICIP), Vol.2017-, pp.2359-2363
09/2017
DOI: https://doi.org/10.1109/ICIP.2017.8296704

Abstract and subjects

Automation Gaussian-Hermite moments invariants Numerical models Numerical stability Pattern recognition template matching total rotation Two dimensional displays Vector field Visualization Wind speed
We propose a method for the recognition of vector field patterns under an unknown rotation. The rotation is modeled as a total transformation, which is applied on both spatial coordinates and field values. The invariants are constructed from orthogonal Gaussian-Hermite moments. Their numerical stability and recognition power are shown to be better than those of the invariants published so far.

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