Spatial Correlation Coefficient Images for Ultrasonic Detection (Preprint)

Abstract

In ultrasonics, image formation and detection are generally based on signal amplitude. In this paper, we describe an amplitude independent approach for image formation and detection based on the similarity of adjacent signals. Signal similarity is quantified in terms of the correlation coefficient calculated between A-scans digitized at adjacent measurement positions. Correlation coefficient images are introduced for visualizing the similarity in measured A-scans. In backscatter, the approach reveals defect signals buried in noise by showing regions of increased correlation. In pitch-catch or thru-transmission, the approach reveals defects by showing regions of decreased correlation due to signal distortion caused by interaction of the beam field with the defect. Correlation coefficient and C-scan images are shown to demonstrate flat-bottom-hole detection in a stainless steel annular ring and crack detection in an aluminum aircraft structure. Simulated data are used to show the detection of planar defects at very low signal-to-noise ratio.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2006
Accession Number
ADA461262

Entities

People

  • Brett A. Rinker
  • Donald D. Palmer Jr.
  • K. C. Ho
  • Raina Cepel
  • Steven P. Neal
  • Terrence P. Lerch

Tags

Communities of Interest

  • Air Platforms
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aluminum
  • Amplitude
  • Backscattering
  • Coefficients
  • Distortion
  • Elements
  • Engineering
  • Human Factors Engineering
  • Inspection
  • Measurement
  • Reflection
  • Scattering
  • Stainless Steel
  • Steel
  • Ultrasonics

Fields of Study

  • Engineering
  • Physics

Readers

  • Image Processing and Computer Vision.
  • Radar Systems Engineering.
  • Structural Health Monitoring of Composite Structures.