Abstract
All interferometric methods as for instance holographic interferometry, speckle metrology, shearography and topometry are based on the transformation of phase differences of interfering wavefields into observable intensity variations, that is, interference fringes. The analysis of fringe patterns by eye, however, is highly subjective and time consuming. To use interferometric methods for optical shop testing in an industrial environment a drastic decrease of the evaluation time combined with increased reliability of data is necessary. In recent years, various methods for computer aided quantitative and qualitative evaluation of fringe patterns have been developed. Looking back, one may state that the crucial step from the laboratory to the factory floor became possible by applying efficient computational equipment and algorithms combined with new data reduction techniques for the digital evaluation of interferograms. On two examples — the unwrapping of noisy mod 2π images and the knowledge assisted recognition of material faults in interferograms — it will be demonstrated how digital image processing and analysis can improve the reduction of relevant data in holographic nondestructive testing.
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© 1994 Springer Science+Business Media Dordrecht
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Jüptner, W., Osten, W. (1994). Digital Image Processing In Holographic NondeStructive Testing (HNDT). In: Maldague, X.P.V. (eds) Advances in Signal Processing for Nondestructive Evaluation of Materials. NATO ASI Series, vol 262. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1056-3_8
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DOI: https://doi.org/10.1007/978-94-011-1056-3_8
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