{"id":"https://openalex.org/W2148832371","doi":"https://doi.org/10.1109/fpt.2004.1393255","title":"Real-time detection of line segments using the line Hough transform","display_name":"Real-time detection of line segments using the line Hough transform","publication_year":2005,"publication_date":"2005-03-21","ids":{"openalex":"https://openalex.org/W2148832371","doi":"https://doi.org/10.1109/fpt.2004.1393255","mag":"2148832371"},"language":"en","primary_location":{"id":"doi:10.1109/fpt.2004.1393255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fpt.2004.1393255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2004 IEEE International Conference on Field- Programmable Technology (IEEE Cat. No.04EX921)","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/A5042778004","display_name":"Nanae Nagata","orcid":"https://orcid.org/0000-0002-5880-3979"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"N. Nagata","raw_affiliation_strings":["Institute of Engineering Mechanics and Systems, University of Tsukuba, Tsukuba, Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"Institute of Engineering Mechanics and Systems, University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102968876","display_name":"Tsutomu Maruyama","orcid":"https://orcid.org/0000-0003-3857-2357"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Maruyama","raw_affiliation_strings":["Institute of Engineering Mechanics and Systems, University of Tsukuba, Tsukuba, Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"Institute of Engineering Mechanics and Systems, University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042778004"],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":0.8812,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.778463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"96"},"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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.9829000234603882,"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":0.8711586594581604},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.738291323184967},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6181930899620056},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6057074666023254},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.5400906205177307},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.4782375693321228},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.45920616388320923},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.4417096972465515},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4390961527824402},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41953137516975403},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.41113048791885376},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3428132236003876},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3316057324409485},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27462905645370483},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2377978265285492},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15207722783088684},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14812776446342468},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12455359101295471},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.11595270037651062},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08318495750427246}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.8711586594581604},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.738291323184967},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6181930899620056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6057074666023254},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.5400906205177307},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.4782375693321228},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.45920616388320923},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.4417096972465515},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4390961527824402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41953137516975403},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.41113048791885376},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3428132236003876},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3316057324409485},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27462905645370483},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2377978265285492},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15207722783088684},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14812776446342468},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12455359101295471},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.11595270037651062},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08318495750427246},{"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/fpt.2004.1393255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fpt.2004.1393255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2004 IEEE International Conference on Field- Programmable Technology (IEEE Cat. No.04EX921)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2013169664","https://openalex.org/W2030611433","https://openalex.org/W2032751817","https://openalex.org/W2039751646","https://openalex.org/W2042433694","https://openalex.org/W2076053452","https://openalex.org/W2113775567","https://openalex.org/W2117100481","https://openalex.org/W2128459959","https://openalex.org/W2145084719","https://openalex.org/W2303707495"],"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":{"We":[0],"describe":[1],"a":[2,20,58,115],"compact":[3],"circuit":[4,41,103,129],"for":[5,142],"real-time":[6],"detection":[7],"of":[8,48,66,81,127,132,146,167],"line":[9,13,59],"segments":[10],"using":[11,164],"the":[12,52,55,64,67,70,82,85,93,102,128,150,154,168],"Hough":[14],"transform":[15],"(LHT).":[16],"The":[17,29,40,125],"LHT":[18,30,71,94],"is":[19,31,51,63,130],"technique":[21],"to":[22,33,57,138,160],"find":[23],"out":[24],"lines":[25,49,83,109],"in":[26,73,114,123],"an":[27],"image.":[28],"robust":[32],"noises,":[34],"but":[35],"requires":[36],"long":[37],"computation":[38],"time.":[39],"calculates:":[42],"(1)":[43],"r":[44],"and":[45,60,75,78,99],"/spl":[46,61,120],"theta/":[47,62],"(r":[50],"distance":[53],"from":[54],"origin":[56],"angle":[65,112],"line)":[68],"by":[69,84,163],"units":[72,87],"parallel;":[74],"(2)":[76],"start":[77],"end":[79],"points":[80],"other":[86,140],"which":[88,134],"are":[89],"completely":[90],"pipelined":[91],"with":[92],"units.":[95],"With":[96],"this":[97],"parallel":[98],"pipeline":[100],"processing,":[101],"can":[104,156],"detect":[105],"more":[106],"than":[107],"16384":[108],"(/spl":[110],"pi//512":[111],"steps)":[113],"large":[116],"size":[117,126],"image":[118],"(640":[119],"times/":[121],"480)":[122],"real-time.":[124],"19%":[131],"XC2V6000,":[133],"makes":[135],"it":[136],"possible":[137],"implement":[139],"circuits":[141],"higher":[143],"level":[144],"processing":[145],"object":[147],"recognition":[148],"on":[149],"same":[151],"chip,":[152],"or":[153],"performance":[155],"be":[157],"improved":[158],"up":[159],"four":[161,165],"times":[162,166],"hardware":[169],"resources.":[170]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
