Algorithms and Hardware Technology for Image Recognition

Abstract

The research activities summarized in this report relate to the development of algorithms of automatic target cueing in FLIR imagery. Topics covered include preprocessing and feature extraction (noise cleaning, edge detection); using image models to predict the outputs of thresholding and edge detection operations; segmentation and postprocessing (variable thresholding, adaptive quantization, thinning, recursive segmentation); and classification.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1977
Accession Number
ADA049590

Entities

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Automatic
  • Change Detection
  • Classification
  • Computer Science
  • Computer Vision
  • Computers
  • Detection
  • Detectors
  • Extraction
  • False Alarms
  • Feature Extraction
  • Image Processing
  • Image Recognition
  • Statistical Analysis
  • Two Dimensional
  • Warning Systems

Readers

  • Neural Network Machine Learning.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks