An Empirical Study of Selected Approaches to the Detection of Edges in Noisy Digitized Images.

Abstract

This paper is concerned with an empirical evaluation of the relative performance of several selected edge detectors for the detection of edge structure in noisy digitized images. In particular, we consider both the Hueckel operator and a recently introduced class of edge detectors implemented as two-dimensional infinite inpulse response (IIR) or recursive digital filters. The latter were originally developed on the basis of least mean-square Wiener spatial filtering concepts for an assumed stochastic model of edge structure in typical imagery data. These two schemes are compared with respect to performance, computational complexity and suitability for specific applications. Problems in making these comparisons are discussed. The implementations of both operators used for this comparison are described in detail. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1977
Accession Number
ADA039816

Entities

People

  • J. W. Modestino
  • R. W. Fries

Organizations

  • Rensselaer Polytechnic Institute

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Assembly Languages
  • Change Detection
  • Computational Complexity
  • Computer Programs
  • Detection
  • Detectors
  • Digital Filters
  • Electronics Laboratories
  • Image Processing
  • Information Science
  • Language
  • Military Research
  • Pattern Recognition
  • Spatial Filtering
  • Two Dimensional

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Vision.
  • Theoretical Analysis.