FOURIER-TRANSFORM METHODS FOR PATTERN RECOGNITION

Abstract

THE USE OF FOURIER TRANSFORM METHODS FOR CLASSIFYING IMAGES IS INVESTIGATED IN SOME DETAIL. IT IS CONCLUDED THAT THE AMPLITUDES OF FREQUENCY COMPONENTS OF THE WAVEFORM OF A SCANNED IMAGE OFFER A USEFUL DESCRIPTION METHOD. TOPICS INCLUDE A DISCUSSION OF THE FACTORS AFFECTING CLASSIFICATION, METHODS FOR REPRESENTING PATTERNS, COMPARISON OF RELATIVE COMPLEXITIES OF THE TIME AND FREQUENCY REPRESENTATIONS, DEFINITION OF WELL-CONSTRUCTED OF INTERESTING PATTERNS, EFFECTS OF VARYING SCANNING MODES, SEPARABILITY OF PATTERNS REPRESENTED BY THE POWER DENSITY SPECTRUM, AND DESIGN OF A CONCEPTUAL IMAGE CLASSIFICATION SYSTEM

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1962
Accession Number
AD0285794

Entities

People

  • C.m. Jones
  • J.f. Kellaher

Organizations

  • Air Force Cambridge Research Laboratories

Tags

DTIC Thesaurus Topics

  • Amplitude
  • Classification
  • Doppler Effect
  • Frequency
  • Frequency Shift
  • Identification
  • Image Classification
  • Pattern Recognition
  • Recognition
  • Scanning
  • Spectra
  • Waveforms

Readers

  • Computer Vision.
  • Image Processing and Computer Vision.
  • Theoretical Analysis.

Technology Areas

  • AI & ML