{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/curvilinear-structure-enhancement-by","title":"Curvilinear Structure Enhancement by Multiscale Top-Hat Tensor in 2D/3D Images","arxiv_id":"1809.08678","date":"2018-09-23","proceeding":null,"authors":["Shuaa S. Alharbi","Cigdem Sazak","Carl J. Nelson","Boguslaw Obara"],"abstract":"A wide range of biomedical applications requires enhancement, detection,\nquantification and modelling of curvilinear structures in 2D and 3D images.\nCurvilinear structure enhancement is a crucial step for further analysis, but\nmany of the enhancement approaches still suffer from contrast variations and\nnoise. This can be addressed using a multiscale approach that produces a better\nquality enhancement for low contrast and noisy images compared with a\nsingle-scale approach in a wide range of biomedical images. Here, we propose\nthe Multiscale Top-Hat Tensor (MTHT) approach, which combines multiscale\nmorphological filtering with a local tensor representation of curvilinear\nstructures in 2D and 3D images. The proposed approach is validated on synthetic\nand real data and is also compared to the state-of-the-art approaches. Our\nresults show that the proposed approach achieves high-quality curvilinear\nstructure enhancement in synthetic examples and in a wide range of 2D and 3D\nimages.","url_abs":"http://arxiv.org/abs/1809.08678v2","url_pdf":"http://arxiv.org/pdf/1809.08678v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"curvilinear-structure-enhancement-by","repo_url":"https://github.com/ShuaaAlharbi/MTHT","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}