Principal Component Thermography

Abstract

This report describes a robust computational framework for the qualitative enhancement and quantitative interpretation of active thermographic inspection data. Singular Value Decomposition is used to reduce an appropriately constructed matrix of raw pixel values to a set of orthogonal functions that compactly describe the key spatial and temporal variations relating to underlying structural anomalies. Tests against synthetic and experimental data are described that underscore the practical efficacy of the methodology, and demonstrate significant advantages compared to more traditional methods of processing.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2002
Accession Number
ADA405857

Entities

People

  • N. Rajic

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Airframes
  • Aluminum
  • Australia
  • Data Sets
  • Detection
  • Engineering
  • Experimental Data
  • Frequency
  • Heat Transmission
  • Infrared Detection
  • Materials
  • Mechanical Engineering
  • Military Aircraft
  • Standards
  • Structural Components
  • Thermal Diffusivity

Readers

  • Image Processing and Computer Vision.
  • Neural Network Machine Learning.
  • Systems Analysis and Design