{"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/wavelet-based-reflection-symmetry-detection","title":"Wavelet-based Reflection Symmetry Detection via Textural and Color Histograms","arxiv_id":"1707.02931","date":"2017-07-10","proceeding":null,"authors":["Mohamed Elawady","Christophe Ducottet","Olivier Alata","Cecile Barat","Philippe Colantoni"],"abstract":"Symmetry is one of the significant visual properties inside an image plane,\nto identify the geometrically balanced structures through real-world objects.\nExisting symmetry detection methods rely on descriptors of the local image\nfeatures and their neighborhood behavior, resulting incomplete symmetrical axis\ncandidates to discover the mirror similarities on a global scale. In this\npaper, we propose a new reflection symmetry detection scheme, based on a\nreliable edge-based feature extraction using Log-Gabor filters, plus an\nefficient voting scheme parameterized by their corresponding textural and color\nneighborhood information. Experimental evaluation on four single-case and three\nmultiple-case symmetry detection datasets validates the superior achievement of\nthe proposed work to find global symmetries inside an image.","url_abs":"http://arxiv.org/abs/1707.02931v4","url_pdf":"http://arxiv.org/pdf/1707.02931v4.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":"wavelet-based-reflection-symmetry-detection","repo_url":"https://github.com/mawady/ColorSymDetect","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"symmetry-detection","task_name":"Symmetry Detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}