{"id":"https://openalex.org/W4390582575","doi":"https://doi.org/10.3390/s24010303","title":"A Method for Measuring Shaft Diameter Based on Light Stripe Image Enhancement","display_name":"A Method for Measuring Shaft Diameter Based on Light Stripe Image Enhancement","publication_year":2024,"publication_date":"2024-01-04","ids":{"openalex":"https://openalex.org/W4390582575","doi":"https://doi.org/10.3390/s24010303","pmid":"https://pubmed.ncbi.nlm.nih.gov/38203165"},"language":"en","primary_location":{"id":"doi:10.3390/s24010303","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24010303","pdf_url":"https://www.mdpi.com/1424-8220/24/1/303/pdf?version=1704358764","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","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/1424-8220/24/1/303/pdf?version=1704358764","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106620174","display_name":"Chunfeng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]},{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunfeng Li","raw_affiliation_strings":["College of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, China","School of Electronic Information Engineering, Changchun University, Changchun 130022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, China","institution_ids":["https://openalex.org/I106645853"]},{"raw_affiliation_string":"School of Electronic Information Engineering, Changchun University, Changchun 130022, China","institution_ids":["https://openalex.org/I49232843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101693128","display_name":"Xiping Xu","orcid":"https://orcid.org/0000-0002-7780-8142"},"institutions":[{"id":"https://openalex.org/I106645853","display_name":"Changchun University of Science and Technology","ror":"https://ror.org/007mntk44","country_code":"CN","type":"education","lineage":["https://openalex.org/I106645853"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiping Xu","raw_affiliation_strings":["College of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, China","institution_ids":["https://openalex.org/I106645853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406633","display_name":"Siyuan Liu","orcid":"https://orcid.org/0000-0002-7274-9155"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Liu","raw_affiliation_strings":["School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102804312","display_name":"Zhen Ren","orcid":"https://orcid.org/0000-0002-6646-6351"},"institutions":[{"id":"https://openalex.org/I49232843","display_name":"Changchun University","ror":"https://ror.org/02an57k10","country_code":"CN","type":"education","lineage":["https://openalex.org/I49232843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Ren","raw_affiliation_strings":["College of Mechanical and Vehicle Engineering, Changchun University, Changchun 130022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Vehicle Engineering, Changchun University, Changchun 130022, China","institution_ids":["https://openalex.org/I49232843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101693128"],"corresponding_institution_ids":["https://openalex.org/I106645853"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.2044,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40418931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"24","issue":"1","first_page":"303","last_page":"303"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference 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/T10638","display_name":"Optical measurement and interference 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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9991999864578247,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9983000159263611,"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/grayscale","display_name":"Grayscale","score":0.7358844876289368},{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.7017212510108948},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.5864412188529968},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5292866826057434},{"id":"https://openalex.org/keywords/observational-error","display_name":"Observational error","score":0.48650306463241577},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.4721498489379883},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4376488924026489},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4334038496017456},{"id":"https://openalex.org/keywords/accuracy-and-precision","display_name":"Accuracy and precision","score":0.42588502168655396},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3888532519340515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3869853615760803},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36267292499542236},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.344897985458374},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28328177332878113},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2624971866607666},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.19314587116241455},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09891581535339355}],"concepts":[{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.7358844876289368},{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.7017212510108948},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.5864412188529968},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5292866826057434},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.48650306463241577},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.4721498489379883},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4376488924026489},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4334038496017456},{"id":"https://openalex.org/C202799725","wikidata":"https://www.wikidata.org/wiki/Q272035","display_name":"Accuracy and precision","level":2,"score":0.42588502168655396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3888532519340515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3869853615760803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36267292499542236},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.344897985458374},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28328177332878113},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2624971866607666},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.19314587116241455},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09891581535339355},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24010303","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24010303","pdf_url":"https://www.mdpi.com/1424-8220/24/1/303/pdf?version=1704358764","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:38203165","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38203165","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10781218","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10781218","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10781218/pdf/sensors-24-00303.pdf","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":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:748929bfcf024291b0b1d47c72f22a03","is_oa":true,"landing_page_url":"https://doaj.org/article/748929bfcf024291b0b1d47c72f22a03","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":"Sensors, Vol 24, Iss 1, p 303 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24010303","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24010303","pdf_url":"https://www.mdpi.com/1424-8220/24/1/303/pdf?version=1704358764","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"No poverty","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G1018373295","display_name":null,"funder_award_id":"20220201040GX","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2797658250","display_name":null,"funder_award_id":"52005213","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"},{"id":"https://openalex.org/F4320322174","display_name":"People's Government of Jilin Province","ror":"https://ror.org/02fzqav45"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390582575.pdf"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1542904876","https://openalex.org/W1984029157","https://openalex.org/W2064838897","https://openalex.org/W2067130370","https://openalex.org/W2067822259","https://openalex.org/W2080901271","https://openalex.org/W2084575832","https://openalex.org/W2085493476","https://openalex.org/W2118540609","https://openalex.org/W2129744187","https://openalex.org/W2167252695","https://openalex.org/W2167667767","https://openalex.org/W2236842990","https://openalex.org/W2265025836","https://openalex.org/W2321191494","https://openalex.org/W2771018763","https://openalex.org/W2783742786","https://openalex.org/W2786152620","https://openalex.org/W2999823471","https://openalex.org/W3184728525","https://openalex.org/W3214989472","https://openalex.org/W3216280115","https://openalex.org/W4281477349","https://openalex.org/W4307939383","https://openalex.org/W4364375001","https://openalex.org/W4367664010","https://openalex.org/W4376611578","https://openalex.org/W4382723693","https://openalex.org/W4383652477","https://openalex.org/W6646315864","https://openalex.org/W6667235111"],"related_works":["https://openalex.org/W4322703778","https://openalex.org/W2043595074","https://openalex.org/W2382420926","https://openalex.org/W2268064091","https://openalex.org/W2933166189","https://openalex.org/W2892482535","https://openalex.org/W2185672108","https://openalex.org/W2205585073","https://openalex.org/W2118681518","https://openalex.org/W2355955523"],"abstract_inverted_index":{"When":[0],"the":[1,61,71,75,88,119,127,133,137,140,148,151,155,159,161,182,186,196,203,209,228],"workpiece":[2],"surface":[3],"exhibits":[4],"strong":[5],"reflectivity,":[6],"it":[7],"becomes":[8],"challenging":[9],"to":[10,21,66,110,118],"obtain":[11],"accurate":[12,84],"key":[13],"measurements":[14,144],"using":[15,176],"non-contact,":[16],"visual":[17],"measurement":[18,32,95,101,211,217],"techniques":[19],"due":[20],"poor":[22],"image":[23,63],"quality.":[24],"In":[25,158],"this":[26],"paper,":[27],"we":[28,52],"propose":[29],"a":[30,177],"high-precision":[31],"method":[33,115],"shaft":[34,112,129,138,156,163,173],"diameter":[35,153],"based":[36],"on":[37,70],"an":[38],"enhanced":[39,100],"quality":[40],"stripe":[41,46,78,230],"image.":[42],"By":[43],"capturing":[44],"two":[45],"images":[47],"with":[48,172],"different":[49,55,94,122],"exposure":[50],"times,":[51],"leverage":[53],"their":[54],"characteristics.":[56],"The":[57,91,216],"results":[58,86,212],"extracted":[59],"from":[60,227],"low-exposure":[62],"are":[64],"used":[65],"perform":[67],"grayscale":[68,79],"correction":[69],"high-exposure":[72],"image,":[73],"improving":[74],"distribution":[76],"of":[77,93,121,136,142,150,208],"and":[80,97,103,124,185,193,202],"resulting":[81],"in":[82],"more":[83],"extraction":[85],"for":[87,154],"center":[89],"points.":[90],"incorporation":[92],"positions":[96],"angles":[98,125],"further":[99],"precision":[102],"robustness.":[104],"Additionally,":[105],"ellipse":[106],"fitting":[107],"is":[108,220],"employed":[109],"derive":[111],"diameter.":[113],"This":[114],"was":[116,145,199,213],"applied":[117],"profiles":[120],"cross-sections":[123],"within":[126],"same":[128],"segment.":[130,157],"To":[131],"reduce":[132],"shape":[134],"error":[135,184,188,198,207],"measurement,":[139],"average":[141,152,162,197],"these":[143],"taken":[146],"as":[147],"estimate":[149],"experiments,":[160],"diameters":[164,174],"determined":[165],"by":[166],"averaging":[167],"elliptical":[168],"estimations":[169],"were":[170,189],"compared":[171],"obtained":[175,226],"coordinate":[178],"measuring":[179],"machine":[180],"(CMM)":[181],"maximum":[183],"minimum":[187],"respectively":[190],"18":[191],"\u03bcm":[192],"7":[194],"\u03bcm;":[195,201],"11":[200],"root":[204],"mean":[205],"squared":[206],"multiple":[210],"10.98":[214],"\u03bcm.":[215],"accuracy":[218],"achieved":[219],"six":[221],"times":[222],"higher":[223],"than":[224],"that":[225],"unprocessed":[229],"images.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}