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Frequency-based image analysis of random patterns: an alternative way to classical stereocorrelation

Abstract : The paper presents an alternative way to classical stereocorrelation. First, 2D image processing of random patterns is described. Sub-pixel displacements are determined using phase analysis. Then distortion evaluation is presented. The distortion is identified without any assumption on the lens model because of the use of a grid technique approach. Last, shape measurement and shape variation is caught by fringe projection. Analysis is based on two pin-hole assumptions for the video-projector and the camera. Then, fringe projection is coupled to in-plane displacement to give rise to 3D measurement set-up. Metrological characterization shows a resolution comparable to classical (stereo) correlation technique (1/100th pixel). Spatial resolution seems to be an advantage of the method, because of the use of temporal phase stepping (shape measurement, 1 pixel) and windowed Fourier transform (in plane displacements measurement, 9 pixels). Two examples are given. First one is the study of skin properties; second one is a study on leather fabric. In both cases, results are convincing, and have been exploited to give mechanical interpretation.
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Submitted on : Friday, November 15, 2013 - 2:54:16 PM
Last modification on : Sunday, June 26, 2022 - 2:02:38 AM
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  • HAL Id : emse-00904908, version 1
  • ARXIV : 1311.3864



Jérôme Molimard, Gaetan Boyer, Hassan Zahouani. Frequency-based image analysis of random patterns: an alternative way to classical stereocorrelation. Journal of the Korean Society for nondestructuve testing, 2010, 30 (3), pp.181-193. ⟨emse-00904908⟩



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