DFS-based fast crack detection
Fuente:
arXiv
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866912112754819072 |
|---|---|
| author | Nguyen, Duc Chernyshev, Vsevolod Makogin, Vitalii Spodarev, Evgeny |
| author_facet | Nguyen, Duc Chernyshev, Vsevolod Makogin, Vitalii Spodarev, Evgeny |
| contents | In this paper, we propose a fast method for crack detection in 3D computed tomography (CT) images. Our approach combines the Maximal Hessian Entry filter and a Deep-First Search algorithm-based technique to strike a balance between computational complexity and accuracy. Experimental results demonstrate the effectiveness of our approach in detecting the crack structure with predefined misclassification probability. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_09534 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | DFS-based fast crack detection Nguyen, Duc Chernyshev, Vsevolod Makogin, Vitalii Spodarev, Evgeny Image and Video Processing In this paper, we propose a fast method for crack detection in 3D computed tomography (CT) images. Our approach combines the Maximal Hessian Entry filter and a Deep-First Search algorithm-based technique to strike a balance between computational complexity and accuracy. Experimental results demonstrate the effectiveness of our approach in detecting the crack structure with predefined misclassification probability. |
| title | DFS-based fast crack detection |
| topic | Image and Video Processing |
| url | https://arxiv.org/abs/2407.09534 |