Approximation of Point-Set Images by Plane Curves.

Abstract

A transform method is presented for detecting elements of a parametric family of curves in noisy point-set images. Local maxima of the transform in the parameters space will correspond to best approximations to parts of the data. The cases of linear, circular, and parabolic approximations are discussed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1980
Accession Number
ADA095973

Entities

People

  • Philip R. Thrift

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Air Force
  • Artificial Intelligence
  • Background Noise
  • Clustering
  • Computations
  • Computer Science
  • Computer Vision
  • Computers
  • Data Sets
  • Equations
  • Maryland
  • Noise
  • Random Variables
  • Simultaneous Equations
  • Universities

Readers

  • Calculus or Mathematical Analysis
  • Image Processing and Computer Vision.
  • Space Exploration and Orbital Mechanics.

Technology Areas

  • Space