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Heuristic Enhancement of Magneto-Optical Images for NDE

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Abstract

The quality of measurements in nondestructive testing and evaluation plays a key role in assessing the reliability of different inspection techniques. Each different technique, like the magneto-optic imaging here treated, is affected by some special types of noise which are related to the specific device used for their acquisition. Therefore, the design of even more accurate image processing is often required by relevant applications, for instance, in implementing integrated solutions for flaw detection and characterization. The aim of this paper is to propose a preprocessing procedure based on independent component analysis (ICA) to ease the detection of rivets and/or flaws in the specimens under test. A comparison of the proposed approach with some other advanced image processing methodologies used for denoising magneto-optic images (MOIs) is carried out, in order to show advantages and weakness of ICA in improving the accuracy and performance of the rivets/flaw detection.

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Correspondence to Matteo Cacciola.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Cacciola, M., Megali, G., Pellicanò, D. et al. Heuristic Enhancement of Magneto-Optical Images for NDE. EURASIP J. Adv. Signal Process. 2010, 485695 (2010) doi:10.1155/2010/485695

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Keywords

  • Image Processing
  • Information Technology
  • Quantum Information
  • Flaw Detection
  • Independent Component Analysis