Comparison of correlation peaks characteristics for scaled images
recognition using MACE, GMACE and MINACE filters

Petr A. Ivanov

doi:10.1117/12.2015512

29 April 2013 Comparison of correlation peaks characteristics for scaled images recognition using MACE, GMACE and MINACE filters

Petr A. Ivanov

Author Affiliations +

Proceedings Volume 8748, Optical Pattern Recognition XXIV; 87480N (2013) https://doi.org/10.1117/12.2015512
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

The paper presents the results of computer modeling of scaled images recognition using MACE, GMACE and MINACE invariant correlation filters. There is given data about testing of above mentioned filters on database of grayscale images with different resolution that contains only true class and both true class and false class objects. There presented data about output correlation peak qualitative and quantitative characteristics and about the comparison for different filter types. The filters were synthesized specially for case of such geometrical transform as change of scale. Also there is presented data about testing of mentioned filters for recognition of rotated images and given an analysis of results.

Citation Download Citation

Petr A. Ivanov "Comparison of correlation peaks characteristics for scaled images recognition using MACE, GMACE and MINACE filters", Proc. SPIE 8748, Optical Pattern Recognition XXIV, 87480N (29 April 2013); https://doi.org/10.1117/12.2015512

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