{"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/fast-detection-of-curved-edges-at-low-snr","title":"Fast Detection of Curved Edges at Low SNR","arxiv_id":"1505.06600","date":"2015-05-25","proceeding":"CVPR 2016 6","authors":["Nati Ofir","Meirav Galun","Boaz Nadler","Ronen Basri"],"abstract":"Detecting edges is a fundamental problem in computer vision with many\napplications, some involving very noisy images. While most edge detection\nmethods are fast, they perform well only on relatively clean images. Indeed,\nedges in such images can be reliably detected using only local filters.\nDetecting faint edges under high levels of noise cannot be done locally at the\nindividual pixel level, and requires more sophisticated global processing.\nUnfortunately, existing methods that achieve this goal are quite slow. In this\npaper we develop a novel multiscale method to detect curved edges in noisy\nimages. While our algorithm searches for edges over a huge set of candidate\ncurves, it does so in a practical runtime, nearly linear in the total number of\nimage pixels. As we demonstrate experimentally, our algorithm is orders of\nmagnitude faster than previous methods designed to deal with high noise levels.\nNevertheless, it obtains comparable, if not better, edge detection quality on a\nvariety of challenging noisy images.","url_abs":"http://arxiv.org/abs/1505.06600v1","url_pdf":"http://arxiv.org/pdf/1505.06600v1.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":"fast-detection-of-curved-edges-at-low-snr","repo_url":"https://github.com/NatiOfir/FaintCurvedEdgeDetection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"fast-detection-of-curved-edges-at-low-snr","repo_url":"https://github.com/NatiOfir/FastEdgesCpp","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"fast-detection-of-curved-edges-at-low-snr","repo_url":"https://github.com/NatiOfir/TrianglesEdgeDetection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"edge-detection","task_name":"Edge Detection"}],"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}