Modeling of scaled and rotated images recognition using different variants of invariant correlation filters

Petr A. Ivanov

doi:10.1117/12.2223965

20 April 2016 Modeling of scaled and rotated images recognition using different variants of invariant correlation filters

Petr A. Ivanov

Author Affiliations +

Proceedings Volume 9845, Optical Pattern Recognition XXVII; 98450T (2016) https://doi.org/10.1117/12.2223965
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

The presented paper deals to PC modeling of scaled and rotated images recognition based on different types of distortion invariant correlation filters. There was used a database of different images (both false and true class) that are under geometrical distortions and there were calculated correlation outputs for images recognition with the help of MACE, MINACE, GMACE, DCCF and polynomial filters and it's combinations for two-stage recognition. The results provide a possibility for successful usage of implemented algorithms.

Citation Download Citation

Petr A. Ivanov "Modeling of scaled and rotated images recognition using different variants of invariant correlation filters", Proc. SPIE 9845, Optical Pattern Recognition XXVII, 98450T (20 April 2016); https://doi.org/10.1117/12.2223965

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