Mellin-Fourier Correlation.

Abstract

This program evaluates the success of a pattern recognition system which attempts to recognize an object even though the object differs in size and orientation from the object used as a reference. The criteria for recognition were the peak value and shape of the cross correlation function calculated in two dimensions. The cross correlation was performed using Fourier transform techniques to judge the utility of implementing the system using many standards optical components. Size, or scale, invariance was achieved using a logarithmic sampling technique (the Mellin transform), and variations on traditional sampling methods were shown to extend the scale invariance predicted by various researchers. The utility of the sampling techniques developed was proven using images acquired from infrared sensors carried aboard helicopters. Limits of practical scale invariance were explored and system design approaches were suggested from the results of numerical experiments carried out in computer simulations.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1985
Accession Number
ADA159685

Entities

People

  • E. C. Friday

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Adaptive Filters
  • Air Force
  • Air Force Facilities
  • Amplitude
  • Bandwidth
  • Computer Simulations
  • Correlation Techniques
  • Cross Correlation
  • Image Processing
  • Pattern Recognition
  • Peak Values
  • Random Variables
  • Recognition
  • Signal Processing
  • Simulations
  • Standards
  • Vehicles

Readers

  • Approximation Theory.
  • Computer Vision.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference