{"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/blob-indentation-identification-via-curvature","title":"Blob indentation identification via curvature measurement","arxiv_id":"1501.07692","date":"2015-01-30","proceeding":null,"authors":["Matthew Sottile"],"abstract":"This paper presents a novel method for identifying indentations on the\nboundary of solid 2D shape. It uses the signed curvature at a set of points\nalong the boundary to identify indentations and provides one parameter for\ntuning the selection mechanism for discriminating indentations from other\nboundary irregularities. An efficient implementation is described based on the\nFourier transform for calculating curvature from a sequence of points obtained\nfrom the boundary of a binary blob.","url_abs":"http://arxiv.org/abs/1501.07692v1","url_pdf":"http://arxiv.org/pdf/1501.07692v1.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":"blob-indentation-identification-via-curvature","repo_url":"https://github.com/mjsottile/blobdents","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"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}