Digital image pattern recognition system using normalized Fourier transform and normalized analytical Fourier-Mellin transform

Digital image pattern recognition system using normalized Fourier transform and normalized analytical Fourier-Mellin transform

This work presents an image pattern recognition system invariant to translation, scale and rotation. The system uses the Fourier transform to achieve the invariance to translation and the analytical Forier-Mellin transform for the invariance to scale and rotation. According with the statistical theo...

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Hauptverfasser: Vélez-Rábago, Rodrigo, Solorza-Calderón, Selene, Jordan-Aramburo, Adina
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Confidence intervals
Digital imaging
Fourier transforms
Invariance
Mellin transforms
Object recognition
Pattern recognition
Pattern recognition systems
Rotation
Statistical analysis
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Beschreibung
Zusammenfassung:This work presents an image pattern recognition system invariant to translation, scale and rotation. The system uses the Fourier transform to achieve the invariance to translation and the analytical Forier-Mellin transform for the invariance to scale and rotation. According with the statistical theory of box-plots, the pattern recognition system has a confidence level at least of 95.4%.
ISSN:0094-243X
1551-7616
DOI:10.1063/1.4968666