Algorithms and Hardware Technology for Image Recognition

Abstract

Image models have been developed to propose thresholds, classify pixels and predict operator response to both signal and noise. A comprehensive approach to target cueing in FLIR imagery has been developed, based on simple but powerful heuristics. 'Superslice', the algorithm embodying this approach, has been tested on two data bases and has successfully extracted object regions while accepting few noise regions. The target regions are discriminable from noise; however, they are difficult to identify reliably as to type.

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Document Details

Document Type
Technical Report
Publication Date
Apr 30, 1977
Accession Number
ADA041906

Entities

People

  • Azriel Rosenfeld
  • David L. Milgram

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Computer Science
  • Computer Vision
  • Computers
  • Contracts
  • Data Science
  • Databases
  • Detection
  • Detectors
  • Discriminant Analysis
  • Image Processing
  • Information Science
  • Maryland
  • Materials
  • Statistical Analysis
  • Universities

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks