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National Technical Reports Library

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Bionics Image Recognition System.


AD481996

Publication Date 1966
Personal Author Polimerou, L. G.; Patterson, J. V.
Page Count 85
Abstract This is the final technical report for a Bionics Image Recognition System. This report provides a description of a learning device which can be used to seek and test for an optimum discrimination value between two planar geometric shapes placed on 35 mm slide transparencies. The slide image shape-information is transformed from a function of two independent variables into a function of a single independent variable. Specific values of the transformed image shape-information are used to determine the best value for discriminating between any two images. After this operation, the device is capable of classifying additional planar geometric shapes as being similar to one or neither of the original two shapes which were discriminated. (Author)
Keywords
  • Bionics
  • Pattern recognition
  • Transformations(Mathematics)
  • Geometric forms
  • Images
  • Design
  • Feasibility studies
  • Mechanical properties
  • Reviews
  • Numerical integration
  • Oscilloscopes
  • Light
  • Image tubes
  • Storage tubes
  • Electrons
  • Instrumentation
  • Optical images
  • Learning machines
Source Agency
  • Non Paid Delimited ADS
NTIS Subject Category
  • 95F - Bionics & Artificial Intelligence
Corporate Authors Ltv Astronautics Div Ling-Temco-Vought Inc Dallas Tex
Document Type Technical Report
Title Note Final rept. 4 Jan 65-15 Jan 66.
NTIS Issue Number 197714
Contract Number
  • AF 33(615)-2317
Bionics Image Recognition System.
Bionics Image Recognition System.
AD481996

  • Bionics
  • Pattern recognition
  • Transformations(Mathematics)
  • Geometric forms
  • Images
  • Design
  • Feasibility studies
  • Mechanical properties
  • Reviews
  • Numerical integration
  • Oscilloscopes
  • Light
  • Image tubes
  • Storage tubes
  • Electrons
  • Instrumentation
  • Optical images
  • Learning machines
  • Non Paid Delimited ADS
  • 95F - Bionics & Artificial Intelligence
  • AF 33(615)-2317
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