Algebraic and Geometric Methods in Signal Processing Computer Vision and Automatic Target Recognition

Abstract

We have developed a method for the analysis and interpretation of gray images using a new definition of connected components that is dependent on two parameters. We considered the topological properties of gray images on an arbitrary grid. We presented an algorithm for the matching of space curves. We developed a method of object recognition by computing the invariants of conics. We developed an intelligent product selection method, using fuzzy logic. Finally we investigated a hierarchical prioritization scheme for a family of belief structures where we may dynamically adjust the priorities.

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Document Details

Document Type
Technical Report
Publication Date
Aug 12, 1997
Accession Number
ADA332351

Entities

People

  • Prabir Bhattacharya

Organizations

  • University of Nebraska-Lincoln Department of Computer Science and Engineering

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Artificial Intelligence
  • Computer Science
  • Computer Vision
  • Detectors
  • Digital Image Processing
  • Digital Images
  • Image Processing
  • Image Recognition
  • Object Recognition
  • Pattern Recognition
  • Recognition
  • Signal Processing
  • Target Recognition
  • Three Dimensional
  • Two Dimensional

Readers

  • Approximation Theory.
  • Computer Vision.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Space
  • Space - Space Objects