Invariant correlation to position, rotation, and scale using one-dimensional composite filters

Gildardo Chaparro-Magallanez; Josué Álvarez-Borrego; Selene Solorza

doi:10.1117/12.902848

2 November 2011 Invariant correlation to position, rotation, and scale using one-dimensional composite filters

Gildardo Chaparro-Magallanez, Josué Álvarez-Borrego, Selene Solorza

Proceedings Volume 8011, 22nd Congress of the International Commission for Optics: Light for the Development of the World; 80117I (2011) https://doi.org/10.1117/12.902848
Event: International Commission for Optics (ICO 22), 2011, Puebla, Mexico

Abstract

A nonlinear correlation digital algorithm invariant to position, rotation and scale using a binary mask is presented. In order to analyze this new identification digital system binary and gray images are used. The problem images had a ±30% of maximum scale variation with respect to the target. Some composite filters had a very good performance in this range. The rotation goes from 0° to 359°. Concentric binary rings masks were elaborated, from the Fourier transform, using the real or the imaginary part. The signatures of the problem image and the target were obtained from the ring mask. The objective is identifying a specific target no matter the position, rotation or scale presented in the problem image. A statistical analysis was done to know the mean correlation confidence level. In this work, a new, fast and functional position, scale and rotation invariance pattern recognition digital system was obtained.

Citation Download Citation

Gildardo Chaparro-Magallanez, Josué Álvarez-Borrego, and Selene Solorza "Invariant correlation to position, rotation, and scale using one-dimensional composite filters", Proc. SPIE 8011, 22nd Congress of the International Commission for Optics: Light for the Development of the World, 80117I (2 November 2011); https://doi.org/10.1117/12.902848

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KEYWORDS

Binary data

Nonlinear filtering

Composites

Image filtering

Fourier transforms

Nonlinear dynamics

Pattern recognition

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