Video Digitization of Displacement/Gradient Data from Optical Instrumentation Systems.

Abstract

Optical data acquisition systems involve such techniques as schlieren, interferometry, shadowgraphs, and a form of laser interferometry known as time averaged holography. Through the use of these tools, data can be obtained from fluid flow fields, structural tests of materials, or other items without any physical interference of the flow stream or test article. Unfortunately, the reduction of raw data from these systems can be extremely tedious, time-consuming, and often times inaccurate due to readability problems. Video digitization offers an efficient and reasonably accurate method for converting optical information into digital data and allowing immediate reduction to yield useful engineering results. Free convective heat transfer interferograms are digitized and the data reduced on the same microcomputer system. Results from this data compare favorably to those using a microcomparator digitizer. Time averaged holograms from a vibration rig are reduced with the video processor. These results are also favorable when compared to similar data taken with an optical comparator. Displacement and bending strain plots are overlaid using both data sets and show excellent correlation. Recommendations are made for expanding and improving the digitizer so that it may achieve its full potential.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1982
Accession Number
ADA124751

Entities

People

  • David R. Chaffee

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Air Force
  • Cameras
  • Computer Programs
  • Computers
  • Data Acquisition
  • Data Reduction
  • Data Sets
  • Digital Data
  • Engineering
  • Heat Transfer
  • Holograms
  • Interferograms
  • Measurement
  • Photographs
  • Temperature Gradients

Fields of Study

  • Physics

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Fluid Mechanics and Fluid Dynamics.
  • Image Processing and Computer Vision.

Technology Areas

  • Directed Energy