APPLICATION OF THE FOURIER TRANSFORM TO PATTERN RECOGNITION.

Abstract

The use of Fourier Transform methods in pattern recognition is investigated. Two uses of the transform are suggested; (1) the Fourier coefficients of a pattern could be used as properties characterizing the pattern if such a representation is more efficient than using the pattern itself, and (2) the transform could be useful in preparing visual data for a pattern recognition device. Simulation on a computer of various ways of using the Fourier Transform in pattern recognition was done. It was concluded that while the Fourier Transform may not be applicable to (1) above, it is definitely useful as a preprocessing aid. (Author)

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1965
Accession Number
AD0615638

Entities

People

  • Morton Elmer
  • Robert E. Evans
  • Ronald J. Webber

Tags

DTIC Thesaurus Topics

  • Coefficients
  • Computers
  • Pattern Recognition
  • Preprocessing
  • Recognition
  • Simulations
  • Simulators

Readers

  • Computer Science.
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML