{"id":"https://openalex.org/W2750900935","doi":"https://doi.org/10.1109/tcsvt.2017.2746753","title":"Fast and Resource-Efficient Hardware Implementation of Modified Line Segment Detector","display_name":"Fast and Resource-Efficient Hardware Implementation of Modified Line Segment Detector","publication_year":2017,"publication_date":"2017-08-30","ids":{"openalex":"https://openalex.org/W2750900935","doi":"https://doi.org/10.1109/tcsvt.2017.2746753","mag":"2750900935"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2017.2746753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2017.2746753","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5051655313","display_name":"Fuqiang Zhou","orcid":"https://orcid.org/0000-0001-9341-9342"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fuqiang Zhou","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055090280","display_name":"Yu Cao","orcid":"https://orcid.org/0000-0001-5767-7029"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Cao","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643642","display_name":"Xinming Wang","orcid":"https://orcid.org/0000-0002-2491-3117"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinming Wang","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051655313"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.4551,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.72719005,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"28","issue":"11","first_page":"3262","last_page":"3273"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/computer-science","display_name":"Computer science","score":0.839810848236084},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6269232630729675},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5444631576538086},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5341137051582336},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4794953465461731},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4768185019493103},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4171193838119507},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35931432247161865}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.839810848236084},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6269232630729675},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5444631576538086},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5341137051582336},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4794953465461731},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4768185019493103},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4171193838119507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35931432247161865},{"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/tcsvt.2017.2746753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2017.2746753","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3274576708","display_name":null,"funder_award_id":"61372177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1770858952","https://openalex.org/W1804970632","https://openalex.org/W1977873627","https://openalex.org/W1983368766","https://openalex.org/W2003220250","https://openalex.org/W2021278996","https://openalex.org/W2022046487","https://openalex.org/W2034191009","https://openalex.org/W2042707118","https://openalex.org/W2043440067","https://openalex.org/W2054970201","https://openalex.org/W2060799924","https://openalex.org/W2065768263","https://openalex.org/W2085020657","https://openalex.org/W2107391856","https://openalex.org/W2110148866","https://openalex.org/W2129038954","https://openalex.org/W2142938914","https://openalex.org/W2155912251","https://openalex.org/W2156953558","https://openalex.org/W2159925574","https://openalex.org/W2160072137","https://openalex.org/W2162113238","https://openalex.org/W2166932255","https://openalex.org/W2479163984","https://openalex.org/W2588937118","https://openalex.org/W3134428353","https://openalex.org/W6644580074","https://openalex.org/W6661343239","https://openalex.org/W6664296413","https://openalex.org/W6679261242","https://openalex.org/W6733628054","https://openalex.org/W6791289703"],"related_works":["https://openalex.org/W2111241003","https://openalex.org/W4200391368","https://openalex.org/W2210979487","https://openalex.org/W2074043759","https://openalex.org/W3042736233","https://openalex.org/W2082487009","https://openalex.org/W2373535795","https://openalex.org/W4285411112","https://openalex.org/W2085033728","https://openalex.org/W2406926880"],"abstract_inverted_index":{"Lines":[0],"are":[1,80],"significant":[2],"features":[3],"enclosing":[4],"high-level":[5],"information":[6,213],"in":[7,28,42,83,101,170,204,241],"an":[8,130],"image.":[9],"The":[10,76,167,223],"line":[11,74,153,190,211],"segment":[12,154,191],"Detector":[13],"(LSD)":[14],"Algorithm":[15],"with":[16,105,157,233],"low":[17,168,239],"error":[18],"rate":[19],"is":[20,149,226],"a":[21,54,62,84,102,137,158,162],"widely":[22],"used":[23,150],"method":[24],"to":[25,88,113,128,151],"extract":[26],"lines":[27],"images":[29],"effectively":[30],"and":[31,44,56,123,174,220,228,238,244],"accurately.":[32],"However,":[33],"the":[34,47,89,109],"algorithm":[35,65,180,225],"on":[36,66,145,230],"PC":[37],"performs":[38],"too":[39],"costly":[40],"both":[41,242],"time":[43],"resources":[45,243],"for":[46,61,72,182,214],"real-time":[48,73,184,205],"video":[49,186],"processing.":[50],"This":[51],"paper":[52],"provides":[53],"fast":[55],"resource-efficient":[57],"hardware":[58,90,98,120],"implementation":[59,99],"solution":[60],"modified":[63],"LSD":[64],"Field":[67],"Programmable":[68],"Gate":[69],"Arrays":[70],"(FPGA)":[71],"detection.":[75],"task-level":[77],"pipeline":[78],"structures":[79],"exploited":[81],"fully":[82],"stream":[85],"process":[86],"mapped":[87],"architecture":[91],"free":[92],"of":[93,108,140,160,165],"frame":[94],"buffer.":[95],"Our":[96],"proposed":[97,179,224],"processes":[100],"stream-in-stream-out":[103],"manner":[104],"little":[106],"consumption":[107,176],"on-chip":[110,172],"block":[111],"RAM":[112],"store":[114],"intermediate":[115],"values.":[116],"We":[117],"first":[118],"employ":[119],"Gaussian":[121],"filter":[122],"adjust":[124],"Canny":[125],"edge":[126,131],"detection":[127],"obtain":[129],"map":[132],"at":[133],"single-pixel":[134],"width.":[135],"Then,":[136],"novel":[138],"structure":[139],"region":[141],"growing":[142],"model":[143],"based":[144],"dynamic":[146],"rooted":[147],"tree":[148],"detect":[152],"regions":[155],"accurately":[156],"latency":[159],"only":[161],"few":[163],"rows":[164],"pixels.":[166],"cost":[169,240],"time,":[171],"resources,":[173],"power":[175],"makes":[177],"our":[178],"suitable":[181],"portable":[183],"streaming":[185],"processing":[187],"applications":[188],"using":[189],"features,":[192],"such":[193],"as":[194],"Lane":[195],"departure":[196],"warning":[197],"systems.":[198],"It":[199],"can":[200],"also":[201],"be":[202],"applied":[203],"machine":[206],"vision":[207],"systems":[208],"that":[209],"use":[210],"segments":[212],"further":[215],"recognition":[216],"or":[217],"stereo":[218],"correspondence":[219],"many":[221],"others.":[222],"synthesized":[227],"tested":[229],"XC7Z020":[231],"FPGA":[232],"high":[234],"reliability,":[235],"accuracy":[236],"speed,":[237],"energy.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
