{"id":"https://openalex.org/W4399623012","doi":"https://doi.org/10.3390/jimaging10060144","title":"A Binocular Color Line-Scanning Stereo Vision System for Heavy Rail Surface Detection and Correction Method of Motion Distortion","display_name":"A Binocular Color Line-Scanning Stereo Vision System for Heavy Rail Surface Detection and Correction Method of Motion Distortion","publication_year":2024,"publication_date":"2024-06-13","ids":{"openalex":"https://openalex.org/W4399623012","doi":"https://doi.org/10.3390/jimaging10060144","pmid":"https://pubmed.ncbi.nlm.nih.gov/38921621"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging10060144","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging10060144","pdf_url":"https://www.mdpi.com/2313-433X/10/6/144/pdf?version=1718775608","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/10/6/144/pdf?version=1718775608","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100406980","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0002-4089-4681"},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Wang","raw_affiliation_strings":["School of Transportation, Ludong University, Yantai 264025, China"],"raw_orcid":"https://orcid.org/0000-0002-4089-4681","affiliations":[{"raw_affiliation_string":"School of Transportation, Ludong University, Yantai 264025, China","institution_ids":["https://openalex.org/I182707071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100724096","display_name":"Weixi Luo","orcid":"https://orcid.org/0000-0002-2312-8803"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixi Luo","raw_affiliation_strings":["School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079813739","display_name":"Menghui Niu","orcid":"https://orcid.org/0000-0002-7850-815X"},"institutions":[{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Menghui Niu","raw_affiliation_strings":["Beijing Institute of Control and Electronics Technology, Beijing 100045, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Control and Electronics Technology, Beijing 100045, China","institution_ids":["https://openalex.org/I202334528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101934498","display_name":"Jiqiang Li","orcid":"https://orcid.org/0000-0002-2129-1252"},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiqiang Li","raw_affiliation_strings":["School of Transportation, Ludong University, Yantai 264025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Transportation, Ludong University, Yantai 264025, China","institution_ids":["https://openalex.org/I182707071"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010927997","display_name":"Kechen Song","orcid":"https://orcid.org/0000-0002-7636-3460"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kechen Song","raw_affiliation_strings":["School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010927997","https://openalex.org/A5100406980"],"corresponding_institution_ids":["https://openalex.org/I182707071","https://openalex.org/I9224756"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":0.8224,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69857102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"10","issue":"6","first_page":"144","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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":0.9994999766349792,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/computer-vision","display_name":"Computer vision","score":0.838916540145874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7918570637702942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6874773502349854},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.686796247959137},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.452468603849411},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.42641302943229675},{"id":"https://openalex.org/keywords/stereo-camera","display_name":"Stereo camera","score":0.42583560943603516}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.838916540145874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7918570637702942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6874773502349854},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.686796247959137},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.452468603849411},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.42641302943229675},{"id":"https://openalex.org/C185078393","wikidata":"https://www.wikidata.org/wiki/Q313783","display_name":"Stereo camera","level":2,"score":0.42583560943603516},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jimaging10060144","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging10060144","pdf_url":"https://www.mdpi.com/2313-433X/10/6/144/pdf?version=1718775608","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:38921621","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38921621","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":"Journal of imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11204702","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11204702","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Imaging","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:f0b916a0d3e64b0186f903c1d920ba37","is_oa":true,"landing_page_url":"https://doaj.org/article/f0b916a0d3e64b0186f903c1d920ba37","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging, Vol 10, Iss 6, p 144 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/jimaging10060144","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging10060144","pdf_url":"https://www.mdpi.com/2313-433X/10/6/144/pdf?version=1718775608","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G6235082000","display_name":null,"funder_award_id":"51805078","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":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399623012.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W229473795","https://openalex.org/W940401932","https://openalex.org/W2002372512","https://openalex.org/W2005116293","https://openalex.org/W2018083109","https://openalex.org/W2032831684","https://openalex.org/W2071833499","https://openalex.org/W2092072518","https://openalex.org/W2104974755","https://openalex.org/W2117248802","https://openalex.org/W2154087496","https://openalex.org/W2208592848","https://openalex.org/W2319416491","https://openalex.org/W2553140390","https://openalex.org/W2913074553","https://openalex.org/W2945270739","https://openalex.org/W2969781743","https://openalex.org/W2984463702","https://openalex.org/W2994615081","https://openalex.org/W3000247513","https://openalex.org/W3005060483","https://openalex.org/W3018520856","https://openalex.org/W3037921770","https://openalex.org/W3042383787","https://openalex.org/W3119512662","https://openalex.org/W3122297873","https://openalex.org/W3181721058","https://openalex.org/W3195818382","https://openalex.org/W3213267434","https://openalex.org/W4229373554","https://openalex.org/W4313413180","https://openalex.org/W4372311797","https://openalex.org/W4377981521","https://openalex.org/W6688112387","https://openalex.org/W6780219212"],"related_works":["https://openalex.org/W2096668200","https://openalex.org/W3123462798","https://openalex.org/W2390004782","https://openalex.org/W2114267838","https://openalex.org/W2356962014","https://openalex.org/W2145652935","https://openalex.org/W2010500171","https://openalex.org/W125675508","https://openalex.org/W1974522807","https://openalex.org/W1536406305"],"abstract_inverted_index":{"Thanks":[0],"to":[1,75,107,155],"the":[2,5,42,47,60,66,72,81,90,95,109,116,121,128,146,157,161,166,171,178,181,185],"line-scanning":[3,10,48,101],"camera,":[4],"measurement":[6],"method":[7],"based":[8],"on":[9],"stereo":[11,102],"vision":[12,103],"has":[13],"high":[14],"optical":[15],"accuracy,":[16],"data":[17,55,88,113,182],"transmission":[18,35],"efficiency,":[19],"and":[20,33,85,137,149,169],"a":[21,98],"wide":[22],"field":[23,118],"of":[24,36,46,62,68,89,120,180],"vision.":[25],"It":[26],"is":[27,71,105,187],"more":[28],"suitable":[29],"for":[30],"continuous":[31],"operation":[32],"high-speed":[34],"industrial":[37],"product":[38],"detection":[39,77],"sites.":[40],"However,":[41],"one-dimensional":[43],"imaging":[44],"characteristics":[45],"camera":[49],"cause":[50],"motion":[51,69,130,162],"distortion":[52,70,131,163],"during":[53],"image":[54,84,129,172,186],"acquisition,":[56],"which":[57],"directly":[58],"affects":[59],"accuracy":[61,179],"detection.":[63],"Effectively":[64],"reducing":[65],"influence":[67],"primary":[73],"problem":[74],"ensure":[76],"accuracy.":[78],"To":[79],"obtain":[80],"two-dimensional":[82],"color":[83,100],"three-dimensional":[86],"contour":[87],"heavy":[91,110],"rail":[92,111],"surface":[93,112],"at":[94,127],"same":[96],"time,":[97],"binocular":[99],"system":[104,134],"designed":[106],"collect":[108],"combined":[114],"with":[115],"bright":[117],"illumination":[119],"symmetrical":[122],"linear":[123],"light":[124],"source.":[125],"Aiming":[126],"caused":[132],"by":[133,189],"installation":[135],"error":[136],"collaborative":[138],"acquisition":[139],"frame":[140],"rate":[141],"mismatch,":[142],"this":[143],"paper":[144],"uses":[145],"checkerboard":[147],"target":[148],"two-step":[150],"cubature":[151],"Kalman":[152],"filter":[153],"algorithm":[154],"solve":[156],"nonlinear":[158],"parameters":[159],"in":[160,184],"model,":[164],"estimate":[165],"real":[167],"motion,":[168],"correct":[170],"information.":[173],"The":[174],"experiments":[175],"show":[176],"that":[177],"contained":[183],"improved":[188],"57.3%":[190],"after":[191],"correction.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}