{"id":"https://openalex.org/W2068416670","doi":"https://doi.org/10.1109/icip.2010.5652292","title":"E-spline sampling for precise and robust line-edge extraction","display_name":"E-spline sampling for precise and robust line-edge extraction","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2068416670","doi":"https://doi.org/10.1109/icip.2010.5652292","mag":"2068416670"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5652292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112495604","display_name":"Akira Hirabayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I173915773","display_name":"Yamaguchi University","ror":"https://ror.org/03cxys317","country_code":"JP","type":"education","lineage":["https://openalex.org/I173915773"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Hirabayashi","raw_affiliation_strings":["Department of Information Science and Engineering, Yamaguchi University, Ube, Japan","Dept. of Information Science and Engineering, Yamaguchi University, 2-16-1, Tokiwadai, Ube 755-8611, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science and Engineering, Yamaguchi University, Ube, Japan","institution_ids":["https://openalex.org/I173915773"]},{"raw_affiliation_string":"Dept. of Information Science and Engineering, Yamaguchi University, 2-16-1, Tokiwadai, Ube 755-8611, Japan","institution_ids":["https://openalex.org/I173915773"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053203917","display_name":"Pier Luigi Dragotti","orcid":"https://orcid.org/0000-0002-6073-2807"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pier-Luigi Dragotti","raw_affiliation_strings":["Department Electrical and Electronic Engineering, Imperial College London, London, UK","Dept. Electrical and Electronic Engineering, Imperial College London, Exhibition Road, SW7-2AZ, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department Electrical and Electronic Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Dept. Electrical and Electronic Engineering, Imperial College London, Exhibition Road, SW7-2AZ, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6317,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.85872273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"pami 8","issue":null,"first_page":"909","last_page":"912"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.7405547499656677},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.640896201133728},{"id":"https://openalex.org/keywords/spline","display_name":"Spline (mechanical)","score":0.6129777431488037},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5940877199172974},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5337672233581543},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.482643187046051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4759533107280731},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4659489393234253},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4584358334541321},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43602535128593445},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4270259141921997},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36462268233299255},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.19646596908569336},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13847827911376953},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09082189202308655}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.7405547499656677},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.640896201133728},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.6129777431488037},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5940877199172974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5337672233581543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.482643187046051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4759533107280731},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4659489393234253},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4584358334541321},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43602535128593445},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4270259141921997},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36462268233299255},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.19646596908569336},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13847827911376953},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09082189202308655},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2010.5652292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.174.7999","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.174.7999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.commsp.ee.ic.ac.uk/%7Epld/publications/HirabayashiDicip2010.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2404532078","display_name":null,"funder_award_id":"EP/F031157/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1603183992","https://openalex.org/W2096960845","https://openalex.org/W2103300762","https://openalex.org/W2104241941","https://openalex.org/W2145023731","https://openalex.org/W2153058280","https://openalex.org/W2158537680"],"related_works":["https://openalex.org/W2030098947","https://openalex.org/W1974777989","https://openalex.org/W2003466055","https://openalex.org/W2363834444","https://openalex.org/W2070077862","https://openalex.org/W2765199790","https://openalex.org/W2164944168","https://openalex.org/W2326760703","https://openalex.org/W262984167","https://openalex.org/W2355177902"],"abstract_inverted_index":{"We":[0,76],"propose":[1],"a":[2,10,50],"line-edge":[3,19],"extraction":[4],"algorithm":[5],"using":[6],"E-spline":[7],"functions":[8,56],"as":[9],"sampling":[11],"kernel.":[12],"Our":[13],"method":[14,48,83],"is":[15,74],"capable":[16],"of":[17,62],"extracting":[18],"parameters,":[20],"including":[21],"amplitude,":[22],"orientation,":[23],"and":[24,67],"offset,":[25],"not":[26],"only":[27],"at":[28],"sub-pixel":[29],"level":[30],"but":[31],"also":[32,77],"exactly":[33],"provided":[34],"noiseless":[35],"pixel":[36],"values.":[37],"Even":[38],"in":[39,59],"noisy":[40],"scenario,":[41],"simulation":[42],"results":[43],"show":[44,78],"that":[45,81],"the":[46,65,70,89],"proposed":[47],"outperforms":[49],"similar":[51],"one":[52],"based":[53],"around":[54],"B-spline":[55],"with":[57],"gains":[58],"standard":[60],"deviation":[61],"1.86dB":[63],"for":[64,69],"orientation":[66],"9.64dB":[68],"offset":[71],"when":[72],"SNR":[73],"10dB.":[75],"by":[79],"simulations":[80],"our":[82],"extracts":[84],"line-edges":[85],"more":[86],"precisely":[87],"than":[88],"Hough":[90],"transform.":[91]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
