Improvement of crack tip position estimation in DIC images by image processing methods
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 releva...
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| Format: | Article |
| Language: | English |
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Gruppo Italiano Frattura
2022-12-01
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| Series: | Fracture and Structural Integrity |
| Subjects: | |
| Online Access: | https://3.64.71.86/index.php/fis/article/view/3809 |
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| _version_ | 1841562956365561856 |
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| author | Najat Zekriti Fatima Majid Hachimi Taoufik Yassine Tounsi Rajaa Rhanim Ibrahim Mrani Hassan Rhanim |
| author_facet | Najat Zekriti Fatima Majid Hachimi Taoufik Yassine Tounsi Rajaa Rhanim Ibrahim Mrani Hassan Rhanim |
| author_sort | Najat Zekriti |
| collection | DOAJ |
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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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| format | Article |
| id | doaj-art-db317f36b7ef459295ece217400f955a |
| institution | Kabale University |
| issn | 1971-8993 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Gruppo Italiano Frattura |
| record_format | Article |
| series | Fracture and Structural Integrity |
| spelling | doaj-art-db317f36b7ef459295ece217400f955a2025-01-03T00:39:28ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89932022-12-011763Improvement of crack tip position estimation in DIC images by image processing methodsNajat Zekriti0Fatima Majid1Hachimi Taoufik2Yassine Tounsi3Rajaa Rhanim4Ibrahim Mrani5Hassan Rhanim6Laboratory of Nuclear, Atomic, Molecular, Mechanical and Energetic Physics, Chouaib Doukkali University, El jadida, MoroccoLaboratory of Nuclear, Atomic, Molecular, Mechanical and Energetic Physics, Chouaib Doukkali University, El jadida, MoroccoLaboratory of Nuclear, Atomic, Molecular, Mechanical and Energetic Physics, Chouaib Doukkali University, El jadida, MoroccoMeasurement and Control Instrumentation Laboratory IMC, Chouaib Doukkali University, El Jadida, MoroccoLaboratory Study of Advanced Materials and Application, University Moulay Ismail, Meknes, MoroccoLaboratory of Nuclear, Atomic, Molecular, Mechanical and Energetic Physics, Chouaib Doukkali University, El jadida, MoroccoLaboratory of Nuclear, Atomic, Molecular, Mechanical and Energetic Physics, Chouaib Doukkali University, El jadida, Morocco 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. https://3.64.71.86/index.php/fis/article/view/38092D DICPVCCrack tipImage Processing |
| spellingShingle | Najat Zekriti Fatima Majid Hachimi Taoufik Yassine Tounsi Rajaa Rhanim Ibrahim Mrani Hassan Rhanim Improvement of crack tip position estimation in DIC images by image processing methods Fracture and Structural Integrity 2D DIC PVC Crack tip Image Processing |
| title | Improvement of crack tip position estimation in DIC images by image processing methods |
| title_full | Improvement of crack tip position estimation in DIC images by image processing methods |
| title_fullStr | Improvement of crack tip position estimation in DIC images by image processing methods |
| title_full_unstemmed | Improvement of crack tip position estimation in DIC images by image processing methods |
| title_short | Improvement of crack tip position estimation in DIC images by image processing methods |
| title_sort | improvement of crack tip position estimation in dic images by image processing methods |
| topic | 2D DIC PVC Crack tip Image Processing |
| url | https://3.64.71.86/index.php/fis/article/view/3809 |
| work_keys_str_mv | AT najatzekriti improvementofcracktippositionestimationindicimagesbyimageprocessingmethods AT fatimamajid improvementofcracktippositionestimationindicimagesbyimageprocessingmethods AT hachimitaoufik improvementofcracktippositionestimationindicimagesbyimageprocessingmethods AT yassinetounsi improvementofcracktippositionestimationindicimagesbyimageprocessingmethods AT rajaarhanim improvementofcracktippositionestimationindicimagesbyimageprocessingmethods AT ibrahimmrani improvementofcracktippositionestimationindicimagesbyimageprocessingmethods AT hassanrhanim improvementofcracktippositionestimationindicimagesbyimageprocessingmethods |