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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.04456 |
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| _version_ | 1866929580823019520 |
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| author | Gilles, Jerome Meyer, Yves |
| author_facet | Gilles, Jerome Meyer, Yves |
| contents | In this paper we present some theoretical results about a structures-textures image decomposition model which was proposed by the second author. We prove a theorem which gives the behavior of this model in different cases. Finally, as a consequence of the theorem we derive an algorithm for the detection of long and thin objects applied to a road networks detection application in aerial or satellite images. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_04456 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Properties of BV-G structures + textures decomposition models. Application to road detection in satellite images Gilles, Jerome Meyer, Yves Functional Analysis Computer Vision and Pattern Recognition In this paper we present some theoretical results about a structures-textures image decomposition model which was proposed by the second author. We prove a theorem which gives the behavior of this model in different cases. Finally, as a consequence of the theorem we derive an algorithm for the detection of long and thin objects applied to a road networks detection application in aerial or satellite images. |
| title | Properties of BV-G structures + textures decomposition models. Application to road detection in satellite images |
| topic | Functional Analysis Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2411.04456 |