One-Dimensional Translation Measurement of Speckle from Rough Rotating Objects in Ultraviolet Illumination

Abstract

The experimental measurement of translation in one dimension from near-field speckle produced by rough rotating objects is considered in this report. Rotation rates about single fixed axis are estimated from measured speckle intensity pattern translation values. The feasibility of translation measurements made by cross-correlation technique in a single dimension is demonstrated. A technique for image enhancement is also demonstrated. The speckle pattern images can be enhanced so that intensity distributions meet near-ideal distributions and contrast values. Speckle is produced experimentally by small (2.5-, 4.0-, 5.0-mm diameter) spherical objects with aluminum paint surfaces in coherent ultraviolet illumination. The measurements are made from imagery taken before and after object angular displacement, rather than from imagery taken from objects revolving in real time. Signal to noise ratios are compared for the direct evaluation of the cross correlation function and for the evaluation of the normalized form of the cross-correlation function as well as for correlation functions for enhanced and unenhanced imagery.

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Document Details

Document Type
Technical Report
Publication Date
Dec 31, 1990
Accession Number
ADA233719

Entities

People

  • Bonnie Light
  • Gary L. Trusty

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Cameras
  • Computational Science
  • Computer Programs
  • Computers
  • Correlation Techniques
  • Cross Correlation
  • Data Science
  • Digital Signal Processing
  • Information Science
  • Measurement
  • Near Field
  • Probability Density Functions
  • Random Variables
  • Scattering
  • Signal Processing
  • Statistics
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Image Processing and Computer Vision.
  • Spectroscopy.