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Fringe analysis and enhanced characterization of sub-surface defects using fringe-shifted shearograms
Authors:Francesca Celine I. Catalan  Anne Margarette S. Maallo  Percival F. Almoro
Affiliation:1. Univ. Grenoble Alpes, CNRS, LPNC, F-38000 Grenoble, France;2. Aix-Marseille University, CNRS, NIA UMR 7260, F-13331 Marseille, France;3. Univ. Savoie Mont Blanc, CNRS, LPNC, F-73000 Chambéry, France;1. Department of Medicine, University of Padova, Padua, Italy;2. Department of Clinical Chemistry and Laboratory Medicine, Department of Medicine, University of Padova, Padua, Italy;3. Department of Nephrology, Dialysis and Kidney Transplant, International Renal Research Institute, San Bortolo Hospital, Vicenza 36100, Italy;1. Università di Parma, Dipartimento di Neuroscienze, 43125 Parma, Italy;2. Università di Milano, Dipartimento di Medicina Veterinaria DiMeVet, 20133 Milan, Italy;1. Biological Psychology Lab, Department of Psychology, Carl von Ossietzky University, Oldenburg, Germany;2. Research Center Neurosensory Science, Carl-von-Ossietzky Universität Oldenburg, Oldenburg, Germany
Abstract:A technique for fringe analysis using variance of directly fringe-shifted shearograms is demonstrated experimentally. Statistical variations in each of the fringe-shifted shearograms are calculated to obtain a contrast map which is then used to characterize sub-surface defects and mechanical loading points. The technique offers reduced computational load compared to Fourier transform-based fringe processing algorithms. The technique is implemented using both phase difference maps and interferograms. The latter allows the extension of the technique to physical (i.e., non-reconstructed) interferograms for the analysis of dynamic systems.
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