{"id":"https://openalex.org/W1513295977","doi":"https://doi.org/10.1109/aim.2015.7222503","title":"An efficient approach for circular shape target recovery","display_name":"An efficient approach for circular shape target recovery","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1513295977","doi":"https://doi.org/10.1109/aim.2015.7222503","mag":"1513295977"},"language":"en","primary_location":{"id":"doi:10.1109/aim.2015.7222503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aim.2015.7222503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)","raw_type":"proceedings-article"},"type":"article","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/A5101176439","display_name":"Tran Thi Thu Trang","orcid":null},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Tran Thi Trang","raw_affiliation_strings":["University of Ulsan, Ulsan, KR"],"affiliations":[{"raw_affiliation_string":"University of Ulsan, Ulsan, KR","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064967473","display_name":"Cheolkeun Ha","orcid":"https://orcid.org/0000-0003-2454-0848"},"institutions":[{"id":"https://openalex.org/I4210086503","display_name":"ABB (Sweden)","ror":"https://ror.org/0033n4009","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210086503","https://openalex.org/I885143765"]},{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]},{"id":"https://openalex.org/I1323252656","display_name":"Information Technology University","ror":"https://ror.org/00ngv8j44","country_code":"PK","type":"education","lineage":["https://openalex.org/I1323252656"]},{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["FI","PK","SE"],"is_corresponding":false,"raw_author_name":"CheolKeun Ha","raw_affiliation_strings":["ABB Corporate Research, Vasteras, Sweden","Department of Mathematical Information Technology, University of Jyv\u00e4skyl\u00e4, Jyv\u00e4skyl\u00e4, FINLAND","KTH Royal Institute of Technology, School of Chemical Science and Engineering, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"ABB Corporate Research, Vasteras, Sweden","institution_ids":["https://openalex.org/I4210086503"]},{"raw_affiliation_string":"Department of Mathematical Information Technology, University of Jyv\u00e4skyl\u00e4, Jyv\u00e4skyl\u00e4, FINLAND","institution_ids":["https://openalex.org/I94722563","https://openalex.org/I1323252656"]},{"raw_affiliation_string":"KTH Royal Institute of Technology, School of Chemical Science and Engineering, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101176439"],"corresponding_institution_ids":["https://openalex.org/I40542001"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5471006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"44","issue":null,"first_page":"25","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9979000091552734,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9959999918937683,"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/curvature","display_name":"Curvature","score":0.7373955249786377},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6595146059989929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6562020778656006},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6474323272705078},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6362041234970093},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5076593160629272},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4973917305469513},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4315972924232483},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.4287894666194916},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.357494592666626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31934937834739685},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2457798421382904},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.20020180940628052}],"concepts":[{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.7373955249786377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6595146059989929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6562020778656006},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6474323272705078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6362041234970093},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5076593160629272},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4973917305469513},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4315972924232483},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.4287894666194916},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.357494592666626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31934937834739685},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2457798421382904},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.20020180940628052},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aim.2015.7222503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aim.2015.7222503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1508960934","https://openalex.org/W1553171952","https://openalex.org/W1792990615","https://openalex.org/W1828890754","https://openalex.org/W1956871166","https://openalex.org/W1981934656","https://openalex.org/W1995376165","https://openalex.org/W1998308221","https://openalex.org/W2009953720","https://openalex.org/W2015014174","https://openalex.org/W2024298659","https://openalex.org/W2040376141","https://openalex.org/W2052280821","https://openalex.org/W2069853858","https://openalex.org/W2095905764","https://openalex.org/W2107986535","https://openalex.org/W2110593850","https://openalex.org/W2112316183","https://openalex.org/W2145023731","https://openalex.org/W2155442231","https://openalex.org/W2170372481","https://openalex.org/W2406223239","https://openalex.org/W3010735106","https://openalex.org/W4237972181","https://openalex.org/W4240744150","https://openalex.org/W6638060920"],"related_works":["https://openalex.org/W2384347880","https://openalex.org/W2315652488","https://openalex.org/W2028037572","https://openalex.org/W2039365229","https://openalex.org/W65623452","https://openalex.org/W2145843506","https://openalex.org/W2885157826","https://openalex.org/W4293054829","https://openalex.org/W2056407677","https://openalex.org/W2128085731"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,77],"propose":[4],"an":[5],"efficient":[6],"approach":[7,40],"for":[8],"circular":[9,98],"shape":[10],"target":[11,99],"recovery.":[12],"The":[13,88],"method":[14],"makes":[15],"use":[16],"of":[17,21,28,64],"the":[18,29,38,42,62,86],"conterminous":[19],"set":[20],"edge":[22,31],"segments,":[23,26],"or":[24],"contour":[25,43,53,75],"instead":[27],"huge":[30],"points":[32,72],"as":[33],"traditional":[34],"detectors":[35],"do.":[36],"First,":[37],"proposed":[39],"computes":[41],"in":[44,85,93],"a":[45],"given":[46],"image,":[47],"which":[48,80],"is":[49],"then":[50],"converted":[51],"into":[52],"segments":[54],"at":[55],"high":[56],"curvature":[57],"points.":[58],"Then,":[59],"by":[60],"calculating":[61],"reinforcement":[63],"each":[65],"virtual":[66],"circle":[67],"generated":[68],"from":[69],"three":[70],"selected":[71],"on":[73],"every":[74],"segment,":[76],"can":[78],"define":[79],"circles":[81],"are":[82,91],"really":[83],"represented":[84],"image.":[87],"experimental":[89],"results":[90],"obtained":[92],"both":[94],"single":[95],"and":[96],"multiple":[97],"objects.":[100]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
