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Open Access

Heuristic Enhancement of Magneto-Optical Images for NDE

  • Matteo Cacciola1Email author,
  • Giuseppe Megali1,
  • Diego Pellicanò1,
  • Salvatore Calcagno1,
  • Mario Versaci1 and
  • FrancescoCarlo Morabito1
EURASIP Journal on Advances in Signal Processing20102010:485695

https://doi.org/10.1155/2010/485695

Received: 31 December 2009

Accepted: 26 August 2010

Published: 28 September 2010

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.

Keywords

Image ProcessingInformation TechnologyQuantum InformationFlaw DetectionIndependent Component Analysis

Publisher note

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Authors’ Affiliations

(1)
DIMET Department, Faculty of Engineering, University "Mediterranea" of Reggio Calabria, Reggio Calabria, Italy

Copyright

© Matteo Cacciola et al. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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