Processing Cones: A Computational Structure for Image Analysis.

Abstract

A layered hierarchical parallel array architecture for image analysis applications, referred to as a processing cone, is described and sample algorithms are presented. A fundamental characteristic of the structure is its hierarchical organization into two-dimensional arrays of decreasing resolution. In this architecture, a protypical function is defined on a local window of data and applied uniformly to all windows in a parallel manner. Three basic modes of processing are supported in the cone: reduction operations (upward processing), horizontal operations (processing at a single level) and projection operations (downward processing). Complex image analysis algorithms are specified as temporal sequences of function applications. The cone structure forms the basis of a sophisticated operating system for an image analysis environment. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1981
Accession Number
ADA111761

Entities

People

  • Allen R. Hanson
  • Edward M. Riseman

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Change Detection
  • Classification
  • Computer Graphics
  • Computer Vision
  • Databases
  • Feature Extraction
  • Image Processing
  • Image Segmentation
  • Information Processing
  • Information Science
  • Operating Systems
  • Parallel Computing
  • Parallel Processing
  • Pattern Recognition
  • Two Dimensional

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