{"id":"https://openalex.org/W2067632696","doi":"https://doi.org/10.1109/icip.2011.6116139","title":"Incremental local Hough Transform for line segment extraction","display_name":"Incremental local Hough Transform for line segment extraction","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2067632696","doi":"https://doi.org/10.1109/icip.2011.6116139","mag":"2067632696"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2011.6116139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","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/A5070378347","display_name":"Rui F. C. Guerreiro","orcid":null},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Rui F. C. Guerreiro","raw_affiliation_strings":["Institute of Systems and Robotics, IST, Lisboa, Portugal","Institute for Systems and Robotics, IST, Lisboa, Portugal#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Systems and Robotics, IST, Lisboa, Portugal","institution_ids":[]},{"raw_affiliation_string":"Institute for Systems and Robotics, IST, Lisboa, Portugal#TAB#","institution_ids":["https://openalex.org/I141596103"]}]},{"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/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Pedro M. Q. Aguiar","raw_affiliation_strings":["Institute of Systems and Robotics, IST, Lisboa, Portugal","Institute for Systems and Robotics, IST, Lisboa, Portugal#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Systems and Robotics, IST, Lisboa, Portugal","institution_ids":[]},{"raw_affiliation_string":"Institute for Systems and Robotics, IST, Lisboa, Portugal#TAB#","institution_ids":["https://openalex.org/I141596103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141596103"],"apc_list":null,"apc_paid":null,"fwci":1.3086,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83406861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2841","last_page":"2844"},"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9936000108718872,"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":0.9897000193595886,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.8903075456619263},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.7791249752044678},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6695076823234558},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6343455910682678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6070140600204468},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5485301613807678},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5037221312522888},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.49404171109199524},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.48917344212532043},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4747103750705719},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46435001492500305},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4495285749435425},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.41880229115486145},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.41435906291007996},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4069393277168274},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2723999619483948},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25054624676704407},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23792487382888794}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.8903075456619263},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.7791249752044678},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6695076823234558},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6343455910682678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6070140600204468},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5485301613807678},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5037221312522888},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.49404171109199524},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.48917344212532043},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4747103750705719},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46435001492500305},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4495285749435425},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.41880229115486145},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.41435906291007996},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4069393277168274},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2723999619483948},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25054624676704407},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23792487382888794},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2011.6116139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.644.8923","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.644.8923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://users.isr.ist.utl.pt/~aguiar/icip2011.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1533452257","https://openalex.org/W1998447437","https://openalex.org/W2004491626","https://openalex.org/W2004492169","https://openalex.org/W2010561990","https://openalex.org/W2017608026","https://openalex.org/W2033819227","https://openalex.org/W2085261163","https://openalex.org/W2095905764","https://openalex.org/W2104241941","https://openalex.org/W2129143313","https://openalex.org/W2146310974","https://openalex.org/W2160072137","https://openalex.org/W3012483050","https://openalex.org/W6679454909"],"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/W2355177902","https://openalex.org/W2349439813","https://openalex.org/W1920486319","https://openalex.org/W2093427527","https://openalex.org/W1992456351"],"abstract_inverted_index":{"Although":[0],"global":[1],"voting":[2],"schemes,":[3],"such":[4],"as":[5],"the":[6,23,32,93,96,111,118],"Hough":[7],"Transform":[8],"(HT),":[9],"have":[10],"been":[11,45],"widely":[12],"used":[13],"to":[14,53],"robustly":[15],"detect":[16],"lines":[17],"in":[18,41,124],"images,":[19],"they":[20],"fail":[21,60],"when":[22,61],"line":[24,62,97],"segments":[25,63,98],"at":[26,81],"hand":[27],"are":[28,36,85,99],"short,":[29],"particularly":[30],"if":[31],"underlying":[33],"edge":[34,83,112],"maps":[35],"cluttered.":[37],"Line":[38],"segment":[39],"detection":[40],"these":[42,72],"scenarios":[43],"has":[44],"addressed":[46],"using":[47],"local":[48,90],"methods,":[49],"which":[50],"lack":[51],"robustness":[52],"missing":[54],"data":[55],"(interrupted":[56],"lines)":[57],"and":[58],"typically":[59],"cross.":[64],"We":[65],"propose":[66],"a":[67,88,104],"new":[68],"method":[69,120],"that":[70,107,117],"tackles":[71],"problems:":[73],"first,":[74],"rough":[75],"estimates":[76],"of":[77],"plural":[78],"candidate":[79],"directions":[80],"each":[82],"point":[84],"obtained":[86],"through":[87],"directional":[89],"HT;":[91],"then,":[92],"parameters":[94],"determining":[95],"globally":[100],"estimated":[101],"by":[102],"maximizing":[103],"quality":[105],"measure":[106],"depends":[108],"on":[109],"all":[110],"points.":[113],"Our":[114],"experiments":[115],"illustrate":[116],"proposed":[119],"outperforms":[121],"current":[122],"methods":[123],"challenging":[125],"situations.":[126]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}