Improvement of crack tip position estimation in DIC images by image processing methods

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Published Dec 21, 2022
DOI https://doi.org/10.3221/IGF-ESIS.63.06

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Najat Zekriti
Laboratory of Nuclear, Atomic, Molecular, Mechanical and Energetic Physics, Chouaib Doukkali University, El jadida, Morocco
Fatima Majid
Laboratory of Nuclear, Atomic, Molecular, Mechanical and Energetic Physics, Chouaib Doukkali University, El jadida, Morocco
Hachimi Taoufik
Laboratory of Nuclear, Atomic, Molecular, Mechanical and Energetic Physics, Chouaib Doukkali University, El jadida, Morocco
Yassine Tounsi
Measurement and Control Instrumentation Laboratory IMC, Chouaib Doukkali University, El Jadida, Morocco
Rajaa Rhanim
Laboratory Study of Advanced Materials and Application, University Moulay Ismail, Meknes, Morocco
Ibrahim Mrani
Laboratory of Nuclear, Atomic, Molecular, Mechanical and Energetic Physics, Chouaib Doukkali University, El jadida, Morocco
Hassan Rhanim
Laboratory of Nuclear, Atomic, Molecular, Mechanical and Energetic Physics, Chouaib Doukkali University, El jadida, Morocco

Abstract

The study presents and compares an application of two procedures to identify the crack tip location in PVC Sent samples under a uniaxial tensile test based on the image processing method.


An IDS camera captures several photos of the PVC surface as part of the image analysis procedure. All relevant data on crack initiation and propagation is collected and assessed using ImageJ software using image processing methods for detecting cracks. However, the second procedure involves a developed algorithm detecting the discontinuity using digital image correlation (DIC) measurement. Although, because of the experimental conditions, the acquisition of images by the digital camera is never perfect. This noise comes from several sources, including the digital camera, image distortion due to lens magnification or lens angle, the shape and size of the pattern, and electronic noise; ... This article discusses image enhancement methods to overcome these objectionable characteristics using and comparing several filters:  Gaussian, median, and Unsharp Mask filters. The performance of the Gaussian filter is better than the Median and Unsharp mask filters. This research demonstrates that DIC is an effective technique for monitoring deformation and understanding the failure mechanism with the best-suited filter.

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    Issue
    Vol. 17 No. 63 (2023): January 2023
    Section
    SI: Structural Integrity and fatigue mechanisms: applications and recent trends

    How to Cite

    Zekriti, N. (2022) “Improvement of crack tip position estimation in DIC images by image processing methods”, Frattura ed Integrità Strutturale, 17(63), pp. 61–71. doi: 10.3221/IGF-ESIS.63.06.
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