A novel algorithm for crack path identification based on infrared images
The present work aims at developing a new approach towards the analysis of the crack path through the access to the information from the infrared (IR) video imaging of the steady fatigue crack growth. We first test some commonly available infrared image filtering techniques, and then we introduce a...
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| Format: | Article |
| Language: | English |
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Gruppo Italiano Frattura
2019-04-01
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| Series: | Fracture and Structural Integrity |
| Subjects: | |
| Online Access: | https://www.fracturae.com/index.php/fis/article/view/2276/2372 |
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| _version_ | 1841564197080530944 |
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| author | Luca Romanin Alexei Vinogradov Filippo Berto Paolo Ferro |
| author_facet | Luca Romanin Alexei Vinogradov Filippo Berto Paolo Ferro |
| author_sort | Luca Romanin |
| collection | DOAJ |
| description | The present work aims at developing a new approach towards the analysis of the crack path through the access to the information from the infrared (IR) video imaging of the steady fatigue crack growth. We first test some commonly available infrared image filtering techniques, and then we introduce a new robust algorithm to identify the position of the dynamic crack. The proposed procedure performs the local analysis of the temperature distribution around the fatigue crack tip in the 316L stainless steel. The developed MATLAB framework simplifies the routine processing and permits analyzing multiple experiments reasonably easily. Two filtering procedures - Gaussian and wavelet shrinkage - were implemented and applied successively to denoise the IR images. Both filters produce comparable and good quality results. The new algorithm capable of automatically locating the crack tip position from consecutive filtered IR images is proposed. Remarkably successful results are demonstrated with only small errors caused by materials distortion. |
| format | Article |
| id | doaj-art-c3c38c5c1ff84c87837c58ce11e5f9f9 |
| institution | Kabale University |
| issn | 1971-8993 |
| language | English |
| publishDate | 2019-04-01 |
| publisher | Gruppo Italiano Frattura |
| record_format | Article |
| series | Fracture and Structural Integrity |
| spelling | doaj-art-c3c38c5c1ff84c87837c58ce11e5f9f92025-01-02T23:01:34ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89932019-04-01134811612410.3221/IGF-ESIS.48.1410.3221/IGF-ESIS.48.14A novel algorithm for crack path identification based on infrared imagesLuca RomaninAlexei VinogradovFilippo BertoPaolo FerroThe present work aims at developing a new approach towards the analysis of the crack path through the access to the information from the infrared (IR) video imaging of the steady fatigue crack growth. We first test some commonly available infrared image filtering techniques, and then we introduce a new robust algorithm to identify the position of the dynamic crack. The proposed procedure performs the local analysis of the temperature distribution around the fatigue crack tip in the 316L stainless steel. The developed MATLAB framework simplifies the routine processing and permits analyzing multiple experiments reasonably easily. Two filtering procedures - Gaussian and wavelet shrinkage - were implemented and applied successively to denoise the IR images. Both filters produce comparable and good quality results. The new algorithm capable of automatically locating the crack tip position from consecutive filtered IR images is proposed. Remarkably successful results are demonstrated with only small errors caused by materials distortion.https://www.fracturae.com/index.php/fis/article/view/2276/2372Image DenoisingCrack TipInfrared ImagingWavelet Shrinkage |
| spellingShingle | Luca Romanin Alexei Vinogradov Filippo Berto Paolo Ferro A novel algorithm for crack path identification based on infrared images Fracture and Structural Integrity Image Denoising Crack Tip Infrared Imaging Wavelet Shrinkage |
| title | A novel algorithm for crack path identification based on infrared images |
| title_full | A novel algorithm for crack path identification based on infrared images |
| title_fullStr | A novel algorithm for crack path identification based on infrared images |
| title_full_unstemmed | A novel algorithm for crack path identification based on infrared images |
| title_short | A novel algorithm for crack path identification based on infrared images |
| title_sort | novel algorithm for crack path identification based on infrared images |
| topic | Image Denoising Crack Tip Infrared Imaging Wavelet Shrinkage |
| url | https://www.fracturae.com/index.php/fis/article/view/2276/2372 |
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