{"id":"https://openalex.org/W2068083483","doi":"https://doi.org/10.1109/tip.2012.2202673","title":"Connectivity-Enforcing Hough Transform for the Robust Extraction of Line Segments","display_name":"Connectivity-Enforcing Hough Transform for the Robust Extraction of Line Segments","publication_year":2012,"publication_date":"2012-06-05","ids":{"openalex":"https://openalex.org/W2068083483","doi":"https://doi.org/10.1109/tip.2012.2202673","mag":"2068083483","pmid":"https://pubmed.ncbi.nlm.nih.gov/22692908"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2012.2202673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2012.2202673","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1109.3637","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070378347","display_name":"Rui F. C. Guerreiro","orcid":null},"institutions":[{"id":"https://openalex.org/I121345201","display_name":"Instituto de Engenharia de Sistemas e Computadores Investiga\u00e7\u00e3o e Desenvolvimento","ror":"https://ror.org/04mqy3p58","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I121345201","https://openalex.org/I4210125590"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"R. F. C. Guerreiro","raw_affiliation_strings":["Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Lisbon 1049-001, Portugal. rfcg@isr.ist.utl.pt","Inst. for Syst. & Robot., Inst. Super. Tecnico, Lisbon, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Lisbon 1049-001, Portugal. rfcg@isr.ist.utl.pt","institution_ids":["https://openalex.org/I121345201"]},{"raw_affiliation_string":"Inst. for Syst. & Robot., Inst. Super. Tecnico, Lisbon, Portugal","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044958892","display_name":"Pedro M. Q. Aguiar","orcid":"https://orcid.org/0000-0002-3809-8416"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]},{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"P. M. Q. Aguiar","raw_affiliation_strings":["Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Lisboa, Portugal","Inst. for Syst. & Robot., Inst. Super. Tecnico, Lisbon, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Systems and Robotics, Instituto Superior T\u00e9cnico, Lisboa, Portugal","institution_ids":["https://openalex.org/I4210166615","https://openalex.org/I4387152517"]},{"raw_affiliation_string":"Inst. for Syst. & Robot., Inst. Super. Tecnico, Lisbon, Portugal","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0858,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.947299,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"21","issue":"12","first_page":"4819","last_page":"4829"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9836999773979187,"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":0.8709275722503662},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.717020571231842},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6660745739936829},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.6607983112335205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6027920246124268},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5825155973434448},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.508169412612915},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43957701325416565},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4374261498451233},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43000850081443787},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41092872619628906},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.40293461084365845},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3048490881919861}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.8709275722503662},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.717020571231842},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6660745739936829},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.6607983112335205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6027920246124268},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5825155973434448},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.508169412612915},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43957701325416565},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4374261498451233},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43000850081443787},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41092872619628906},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.40293461084365845},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3048490881919861},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2012.2202673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2012.2202673","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:22692908","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22692908","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:1109.3637","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1109.3637","pdf_url":"https://arxiv.org/pdf/1109.3637","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1109.3637","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1109.3637","pdf_url":"https://arxiv.org/pdf/1109.3637","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1983184501","https://openalex.org/W1998447437","https://openalex.org/W2004491626","https://openalex.org/W2004492169","https://openalex.org/W2010561990","https://openalex.org/W2017608026","https://openalex.org/W2024032168","https://openalex.org/W2054832043","https://openalex.org/W2067632696","https://openalex.org/W2085261163","https://openalex.org/W2095364258","https://openalex.org/W2095642712","https://openalex.org/W2095905764","https://openalex.org/W2100808586","https://openalex.org/W2104241941","https://openalex.org/W2105278485","https://openalex.org/W2107842627","https://openalex.org/W2111003594","https://openalex.org/W2117594136","https://openalex.org/W2118691294","https://openalex.org/W2128511721","https://openalex.org/W2129143313","https://openalex.org/W2132089677","https://openalex.org/W2145023731","https://openalex.org/W2145158371","https://openalex.org/W2146310974","https://openalex.org/W2152054638","https://openalex.org/W2158624889","https://openalex.org/W2160072137","https://openalex.org/W2167716896","https://openalex.org/W2209124607","https://openalex.org/W2911355490","https://openalex.org/W2979862827","https://openalex.org/W4248766166","https://openalex.org/W6674561531","https://openalex.org/W6758369597"],"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/W1992456351","https://openalex.org/W3180429661"],"abstract_inverted_index":{"Global":[0],"voting":[1,92,153],"schemes":[2],"based":[3],"on":[4],"the":[5,21,40,43,76,80,91,101,137,145,151,155,166],"Hough":[6,167],"transform":[7],"(HT)":[8],"have":[9],"been":[10],"widely":[11],"used":[12],"to":[13,52],"robustly":[14],"detect":[15],"lines":[16],"in":[17,59,90,107,141,193,197],"images.":[18,38],"However,":[19],"since":[20],"votes":[22],"do":[23,32],"not":[24,33],"take":[25],"line":[26,65,84,120],"connectivity":[27,48,89],"into":[28,150],"account,":[29],"these":[30],"methods":[31,46,201],"deal":[34,53],"well":[35],"with":[36,54,118,185],"cluttered":[37],"On":[39],"other":[41],"hand,":[42],"so-called":[44],"local":[45],"enforce":[47],"but":[49],"lack":[50],"robustness":[51],"challenging":[55],"situations":[56,198],"that":[57,183],"occur":[58],"many":[60],"realistic":[61],"scenarios,":[62],"e.g.,":[63],"when":[64,69],"segments":[66,71,140,196],"cross":[67],"or":[68],"long":[70],"are":[72],"corrupted.":[73],"We":[74,180],"address":[75],"critical":[77],"limitations":[78],"of":[79,103,144,159,165],"HT":[81,134,152],"as":[82],"a":[83,123,171],"segment":[85,130,161],"extractor":[86],"by":[87,97,132],"incorporating":[88],"process.":[93],"This":[94],"is":[95],"done":[96],"only":[98],"accounting":[99],"for":[100],"contributions":[102],"edge":[104],"points":[105],"lying":[106],"increasingly":[108],"larger":[109],"neighborhoods":[110],"and":[111,114,170,187],"whose":[112],"position":[113],"directional":[115],"information":[116],"agree":[117],"potential":[119],"segments.":[121],"As":[122],"result,":[124],"our":[125,176],"method,":[126],"which":[127],"we":[128],"call":[129],"extraction":[131],"connectivity-enforcing":[133],"(STRAIGHT),":[135],"extracts":[136],"longest":[138],"connected":[139],"each":[142],"location":[143],"image,":[146],"thus":[147],"also":[148],"integrating":[149],"process":[154],"usually":[156],"separate":[157],"step":[158],"individual":[160],"extraction.":[162],"The":[163],"usage":[164],"space":[168],"mapping":[169],"corresponding":[172],"hierarchical":[173],"implementation":[174],"make":[175],"approach":[177],"computationally":[178],"feasible.":[179],"present":[181],"experiments":[182],"illustrate,":[184],"synthetic":[186],"real":[188],"images,":[189],"how":[190],"STRAIGHT":[191],"succeeds":[192],"extracting":[194],"complete":[195],"where":[199],"current":[200],"fail.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}