Paper
2 November 2011 Digital system of invariant correlation to position and scale using adaptive ring masks and unidimensional signatures
Author Affiliations +
Abstract
Digital systems of invariant non-linear correlation to position and scale based on adaptive binary mask of concentric rings and unidimensional signatures are useful tool in pattern recognition. With the modulus of the Fourier transform of the image we obtain the invariance to translation. Using the Scale transformation and adaptive binary ring masks the scale invariant is calculated. The discrimination between objects is done by non-linear correlation of the unidimensional signatures assigned to the problem image and the target. In addition, working with unidimensional signatures reduce the computational time considerably, achieving a step toward the ultimate goal, which is developing a simple digital system that accomplishes recognition in real time at low cost.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Selene Solorza and Josué Álvarez-Borrego "Digital system of invariant correlation to position and scale using adaptive ring masks and unidimensional signatures", Proc. SPIE 8011, 22nd Congress of the International Commission for Optics: Light for the Development of the World, 801172 (2 November 2011); https://doi.org/10.1117/12.902008
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Binary data

Fourier transforms

Pattern recognition

Computing systems

Linear filtering

Nonlinear filtering

Classification systems

Back to Top