The Application of Artificial Neural Networks to Object Direction In Digital Images,

Abstract

This report surveys the topic of object detection in digital images. It outlines a standard method of analysis for the perception process. Several imaging and recognition issues are identified and explored through the human visual system as a model which is then used for constructing an artificial perception system. This leads to the study of self-organized artificial neural networks. The study includes the Kohonen feature map and several of its variations. The report will next focus on the application of these neural networks to object recognition tasks.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1995
Accession Number
ADA298528

Entities

People

  • Steacy W. Housholder

Organizations

  • Air Force Institute of Technology

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Computer Vision
  • Digital Images
  • Image Processing
  • Images
  • Neural Networks
  • Object Recognition
  • Perception
  • Recognition

Fields of Study

  • Computer science

Readers

  • Business Analytics
  • Computer Vision.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks