Combined Spatial Filtering and Boolean Operators Applied to the Processing of Real Images.

Abstract

Several new and seemingly successful scene analysis techniques for application to 'real' image processing are presented and discussed. These techniques consist of particular combinations of spatial low pass filtering, global thresholding and Boolean operators, specifically the 'AND', 'OR' and 'NOT' operators. These combinatorial operators, hereafter referred to as the 'Boolpass' operators, perform the task of picture energy/information reduction, while retaining the fundamental picture primitives such as edges which characterize the images. Over 150 figures are included which illustrate the results obtained from application of the Boolpass techniques to eight different natural scenes. These results indicate that the Boolpass operators do display great potential as important components of a larger more comprehensive pattern recognition machine. Such a machine would encompass further processing (for target classification/recognition) of the resulting Boolpass operator information. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1982
Accession Number
ADA118076

Entities

People

  • Blaine E. Feltmate

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Computer Programs
  • Computers
  • Detection
  • Electrical Engineering
  • Image Processing
  • Information Processing
  • Pattern Recognition
  • Recognition
  • Signal Processing
  • Spatial Filtering
  • Target Classification
  • Target Recognition
  • Three Dimensional
  • Two Dimensional
  • Video Images

Readers

  • Computer Vision.

Technology Areas

  • AI & ML