{"id":"https://openalex.org/W2300446632","doi":"https://doi.org/10.1142/s0218001416550211","title":"A Circular Band Extraction Method Based on Extended Hough Transform","display_name":"A Circular Band Extraction Method Based on Extended Hough Transform","publication_year":2016,"publication_date":"2016-03-15","ids":{"openalex":"https://openalex.org/W2300446632","doi":"https://doi.org/10.1142/s0218001416550211","mag":"2300446632"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001416550211","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001416550211","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5010673964","display_name":"Rong-Chin Lo","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Rong-Chin Lo","raw_affiliation_strings":["Department of Electronic Engineering, NTUT, Taipei, Taiwan, R. O. China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, NTUT, Taipei, Taiwan, R. O. China","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090303567","display_name":"Hsiu-Chen Hsu","orcid":"https://orcid.org/0000-0001-8114-074X"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsiu-Chen Hsu","raw_affiliation_strings":["Department of Electronic Engineering, NTUT, Taipei, Taiwan, R. O. China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, NTUT, Taipei, Taiwan, R. O. China","institution_ids":["https://openalex.org/I118292597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010673964"],"corresponding_institution_ids":["https://openalex.org/I118292597"],"apc_list":null,"apc_paid":null,"fwci":0.501,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70669777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"30","issue":"08","first_page":"1655021","last_page":"1655021"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.9499785900115967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7455934286117554},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7218360900878906},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6802968978881836},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.602540135383606},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5973062515258789},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5878229141235352},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5740097761154175},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5091502070426941},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.4925568699836731},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.479564368724823},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4303540289402008},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2903805375099182}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.9499785900115967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7455934286117554},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7218360900878906},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6802968978881836},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.602540135383606},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5973062515258789},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5878229141235352},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5740097761154175},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5091502070426941},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.4925568699836731},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.479564368724823},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4303540289402008},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2903805375099182},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001416550211","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001416550211","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6100000143051147,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1986737513","https://openalex.org/W1990004830","https://openalex.org/W1995376165","https://openalex.org/W2006879116","https://openalex.org/W2009035664","https://openalex.org/W2012277745","https://openalex.org/W2094654473","https://openalex.org/W2102049273","https://openalex.org/W2118400025","https://openalex.org/W2121491072","https://openalex.org/W2142313107"],"related_works":["https://openalex.org/W2355177902","https://openalex.org/W3186605777","https://openalex.org/W3107295340","https://openalex.org/W2164349598","https://openalex.org/W2574769845","https://openalex.org/W146855993","https://openalex.org/W2220864757","https://openalex.org/W2373164917","https://openalex.org/W17460865","https://openalex.org/W2372578044"],"abstract_inverted_index":{"This":[0,18],"study":[1],"proposes":[2],"a":[3,25,35,55,76],"method":[4,19],"to":[5,38,84],"detect":[6],"thick":[7],"circular":[8,11,56,70],"curves,":[9],"called":[10],"bands,":[12],"using":[13],"the":[14,21,40,43,47,52,66,86,91],"extended":[15],"Hough":[16],"Transform.":[17],"enables":[20],"direct":[22],"input":[23],"of":[24,54,68,90],"binary":[26],"image":[27],"without":[28],"requiring":[29],"pre-processing":[30],"in":[31,42,79],"edge":[32],"detection":[33],"or":[34],"post-processing":[36],"stage":[37],"recover":[39],"band":[41,57,71],"original":[44],"image.":[45],"Thus,":[46],"useful":[48],"positional":[49],"relationships":[50],"among":[51],"pixels":[53],"are":[58],"preserved":[59],"for":[60],"subsequent":[61],"processing.":[62],"Several":[63],"experiments":[64],"involving":[65],"recognition":[67],"general":[69],"objects,":[72],"traffic":[73],"signs,":[74],"and":[75,88],"tunnel":[77],"entrance":[78],"real":[80],"scenes":[81],"were":[82],"conducted":[83],"establish":[85],"feasibility":[87],"applicability":[89],"proposed":[92],"approach.":[93]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
