{"id":"https://openalex.org/W2260648485","doi":"https://doi.org/10.5220/0005268904110418","title":"A Review of Hough Transform and Line Segment Detection Approaches","display_name":"A Review of Hough Transform and Line Segment Detection Approaches","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2260648485","doi":"https://doi.org/10.5220/0005268904110418","mag":"2260648485"},"language":"en","primary_location":{"id":"doi:10.5220/0005268904110418","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005268904110418","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"},"type":"review","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0005268904110418","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Payam S. Rahmdel","orcid":null},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Payam S. Rahmdel","raw_affiliation_strings":["University of British Columbia, Canada"],"affiliations":[{"raw_affiliation_string":"University of British Columbia, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063802640","display_name":"Richard Comley","orcid":null},"institutions":[{"id":"https://openalex.org/I60488453","display_name":"Middlesex University","ror":"https://ror.org/01rv4p989","country_code":"GB","type":"education","lineage":["https://openalex.org/I60488453"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Richard Comley","raw_affiliation_strings":["Middlesex University London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Middlesex University London, United Kingdom","institution_ids":["https://openalex.org/I60488453"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101998859","display_name":"Daming Shi","orcid":"https://orcid.org/0000-0002-2565-6562"},"institutions":[{"id":"https://openalex.org/I60488453","display_name":"Middlesex University","ror":"https://ror.org/01rv4p989","country_code":"GB","type":"education","lineage":["https://openalex.org/I60488453"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daming Shi","raw_affiliation_strings":["Middlesex University London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Middlesex University London, United Kingdom","institution_ids":["https://openalex.org/I60488453"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017434215","display_name":"Siobh\u00e1n McElduff","orcid":null},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Siobhan McElduff","raw_affiliation_strings":["University of British Columbia, Canada"],"affiliations":[{"raw_affiliation_string":"University of British Columbia, Canada","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141945490"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.13138758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"411","last_page":"418"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":1.0,"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":1.0,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9635000228881836,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.9166178107261658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7505263090133667},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.6209307312965393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6127679944038391},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5926288366317749},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.587513267993927},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.5397143959999084},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5391350984573364},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4947063624858856},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4900928735733032},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.43553996086120605},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40005654096603394},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2413589358329773},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1280810832977295},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10042598843574524}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.9166178107261658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7505263090133667},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.6209307312965393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6127679944038391},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5926288366317749},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.587513267993927},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.5397143959999084},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5391350984573364},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4947063624858856},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4900928735733032},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.43553996086120605},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40005654096603394},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2413589358329773},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1280810832977295},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10042598843574524},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0005268904110418","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005268904110418","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.mdx.ac.uk:28644","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400025","display_name":"Middlesex University Research Repository (Middlesex University Of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60488453","host_organization_name":"Middlesex University","host_organization_lineage":["https://openalex.org/I60488453"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":{"id":"doi:10.5220/0005268904110418","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005268904110418","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Computer Vision Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1519634069","https://openalex.org/W1963824880","https://openalex.org/W1964005581","https://openalex.org/W1971406849","https://openalex.org/W1983184501","https://openalex.org/W1998447437","https://openalex.org/W2002033445","https://openalex.org/W2004702486","https://openalex.org/W2008665443","https://openalex.org/W2021278996","https://openalex.org/W2023467776","https://openalex.org/W2053323640","https://openalex.org/W2060230922","https://openalex.org/W2071028826","https://openalex.org/W2072616970","https://openalex.org/W2079104254","https://openalex.org/W2095905764","https://openalex.org/W2104241941","https://openalex.org/W2105278485","https://openalex.org/W2108229101","https://openalex.org/W2128511721","https://openalex.org/W2145158371","https://openalex.org/W2146310974","https://openalex.org/W2170131942","https://openalex.org/W2911355490","https://openalex.org/W2913455019"],"related_works":["https://openalex.org/W2133640447","https://openalex.org/W2125790330","https://openalex.org/W2100522530","https://openalex.org/W1970655187","https://openalex.org/W581142974","https://openalex.org/W2349439813","https://openalex.org/W1920486319","https://openalex.org/W2093427527","https://openalex.org/W3180429661","https://openalex.org/W2376883242"],"abstract_inverted_index":{"In":[0,39,88,103],"a":[1,70,136],"wide":[2],"range":[3],"of":[4,16,66,107],"image":[5],"processing":[6],"and":[7,33,47,53,81,94,99,116,129,133],"computer":[8],"vision":[9],"problems,":[10],"line":[11,111],"segment":[12],"detection":[13,65],"is":[14,75,82],"one":[15],"the":[17,44,50,59,64,89,92,104,108],"most":[18,60],"critical":[19],"challenges.":[20],"For":[21],"more":[22,31],"than":[23],"three":[24,119],"decades":[25],"researchers":[26],"have":[27],"contributed":[28],"to":[29],"build":[30],"robust":[32],"accurate":[34],"algorithms":[35],"with":[36,122],"faster":[37],"performance.":[38],"this":[40],"paper":[41,74],"we":[42],"review":[43],"main":[45,86,120],"approaches":[46],"in":[48,69,135],"particular":[49],"Hough":[51],"transform":[52],"its":[54,95],"extensions,":[55],"which":[56],"are":[57,101,114,131],"among":[58],"well-known":[61],"techniques":[62,113],"for":[63],"straight":[67],"lines":[68],"digital":[71],"image.":[72],"This":[73],"based":[76],"on":[77],"extensive":[78],"practical":[79],"research":[80,97],"organised":[83],"into":[84,118],"two":[85],"parts.":[87],"first":[90],"part,":[91],"HT":[93],"major":[96],"directions":[98],"limitations":[100],"discussed.":[102],"second":[105],"part":[106],"paper,":[109],"state-of-the-art":[110],"segmentation":[112],"reviewed":[115],"categorized":[117],"groups":[121],"fundamentally":[123],"distinctive":[124],"characteristics.":[125],"Their":[126],"relative":[127],"advantages":[128],"disadvantages":[130],"compared":[132],"summarised":[134],"table.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
