STARAN Image Processing.

Abstract

The primary objective of this work was the implementation of a label relaxation edge enhancement algorithm for on the STARAN computer. The algorithms were designed to allow for various user defined control parameters so as to be able to evaluate the method of edge enhancement under different conditions. During software execution, STARAN handles the bulk of the computational tasks while the CDC 6400 serves as the I/O and process controller. The CDC 6400 control and I/O software is given access to the STARAN software via calls to CDC resident FORTRAN subroutines. As a result, the general CDC 6400 FORTRAN programmer can incorporate the functional capabilities of the developed STARAN subroutine into his own program. The algorithm develops likelihood (probability estimates) values of directed edges in an image for 8 compass directions. 3x3 correlation reference patterns are used to develop the initial likelihood values. The likelihood values are then iteratively enhanced by a relaxation process. The likelihood enhancement process involves two basic steps: (1) the best link of likelihood ratio estimates between adjacent neighbor pixel paris is established. In the second step, the best link pair information is used to update the edge likelihood ratio. The CDC;STARAN system can process one iteration in under one minute, thus providing an interactive evaluation capability.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1980
Accession Number
ADA091928

Entities

People

  • R. O. Faiss
  • R. W. Lott
  • S. G. Stadelman

Organizations

  • Goodyear Aerospace

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Boundaries
  • Change Detection
  • Color Displays
  • Computations
  • Computers
  • Content Addressable Memory
  • Convolution
  • Data Displays
  • Detection
  • Equations
  • Image Processing
  • Intensity
  • Iterations
  • Numbers
  • Precision
  • Probability

Fields of Study

  • Computer science

Readers

  • Computer Science.
  • Computer Vision.
  • Statistical inference.