Analysis and Development of Image Statistics and Redundancy Removal.

Abstract

The goal of classifying objects of cartographic interest in aerial photographs was approached using techniques from pattern recognition and image processing. Bridge and airport images were chosen as the initial objects of interest and segments of photographs containing them were digitized for the data base. Edge-detection and Hough transform algorithms identified structures as candidate bridges; additional decision logic (using global contrast and other attributes) further reduced the set. Results indicate the feasibility and low computational cost of the approach. Additional results in discrete medial-axis transformation are presented, as are methods for encoding the two kinds of images. The characteristics of the two kinds of targets are so distinctive that encoding promises substantial efficiencies. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1980
Accession Number
ADA091600

Entities

People

  • Fred Hill
  • Fred Lawler
  • Lee Goldman
  • Murray H. Loew
  • Raymond L. Pickholtz

Organizations

  • George Washington University

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aerial Photographs
  • Artificial Intelligence
  • Change Detection
  • Chromosomes
  • Computer Graphics
  • Computer Vision
  • Detection
  • Detectors
  • Digital Image Processing
  • Digital Images
  • Feature Extraction
  • Geometry
  • Image Processing
  • Information Processing
  • Information Theory
  • Pattern Recognition
  • Two Dimensional

Readers

  • Computer Vision.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks