The Application of Two Dimensional Moment Invariants to Image Signal Processing and Pattern Recognition.

Abstract

This thesis investigates the application of two-dimensional moment invariants to image pattern recognition. The general problem studied is how to identify an aircraft target and its orientation in real time. The method of moment invariants provides a clever feature extraction technique to reduce the information in an image to a finite number of quantities which are translation, size, and rotation independent.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1980
Accession Number
ADA094440

Entities

People

  • Tyle T. Kanazawa

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Aircrafts
  • Artificial Intelligence
  • Computer Programs
  • Detectors
  • Identification
  • Image Processing
  • Intensity
  • Method Of Moments
  • Optical Detectors
  • Orientation (Direction)
  • Pattern Recognition
  • Plastic Explosives
  • Recognition
  • Signal Processing
  • Two Dimensional

Readers

  • Computer Vision.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference