A Sensing Array System with Image Statistics Processing.

Abstract

An image domain processing technique was implemented with a solid-state sensor array minicomputer system. The solid-state array converted the photographic images into electronic signals that were used by the minicomputer to evaluate image histogram and image texture. A computer-controlled translational stage served as the image holder. A 16-dimensional feature vector was computed for each input image based on the image histogram and image texture methods developed. Two types of classifiers, a sequential template-matching classifier and a minimum-distance classifier, were designed using only four components of the feature vector. Classification accuracy of better than 90 percent was obtained for both classifiers for a selected set of photographic imagery. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 1982
Accession Number
ADA119259

Entities

People

  • Pi-fuay Chen

Organizations

  • Geospatial Research Laboratory

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Accuracy
  • Computers
  • Digital Image Processing
  • Digital Images
  • Feature Extraction
  • Image Processing
  • Images
  • Information Science
  • Light Sources
  • Machine Learning
  • New York
  • Photographic Images
  • Probability
  • Probability Distributions
  • Recognition
  • Statistics
  • Video Signals

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Computer Vision.

Technology Areas

  • Microelectronics