{"id":"https://openalex.org/W4225411503","doi":"https://doi.org/10.1109/tpami.2022.3170926","title":"Dynamic Differential Image Circle Diameter Measurement Precision Assessment: Application to Burning Droplets","display_name":"Dynamic Differential Image Circle Diameter Measurement Precision Assessment: Application to Burning Droplets","publication_year":2022,"publication_date":"2022-05-03","ids":{"openalex":"https://openalex.org/W4225411503","doi":"https://doi.org/10.1109/tpami.2022.3170926","pmid":"https://pubmed.ncbi.nlm.nih.gov/35503825"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3170926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3170926","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/servlets/purl/1998037","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071690218","display_name":"Raisa Rasul","orcid":"https://orcid.org/0000-0001-5815-9151"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Raisa B. Rasul","raw_affiliation_strings":["Department of Biomedical Engineering, Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-5815-9151","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073388987","display_name":"C. Thomas Avedisian","orcid":"https://orcid.org/0000-0003-1343-584X"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Thomas Avedisian","raw_affiliation_strings":["Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040629694","display_name":"Yuhao Xu","orcid":"https://orcid.org/0000-0003-4537-9184"},"institutions":[{"id":"https://openalex.org/I250520410","display_name":"Prairie View A&M University","ror":"https://ror.org/0449kf092","country_code":"US","type":"education","lineage":["https://openalex.org/I250520410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuhao Xu","raw_affiliation_strings":["Department of Mechanical Engineering, Prairie View A&amp;M University, Prairie View, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Prairie View A&amp;M University, Prairie View, TX, USA","institution_ids":["https://openalex.org/I250520410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059965554","display_name":"M. Hicks","orcid":"https://orcid.org/0000-0001-9000-0474"},"institutions":[{"id":"https://openalex.org/I2799786008","display_name":"Glenn Research Center","ror":"https://ror.org/059fqnc42","country_code":"US","type":"facility","lineage":["https://openalex.org/I2799786008","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael C. Hicks","raw_affiliation_strings":["Glenn Research Center, NASA, Cleveland, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Glenn Research Center, NASA, Cleveland, OH, USA","institution_ids":["https://openalex.org/I2799786008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060527966","display_name":"Anthony P. Reeves","orcid":"https://orcid.org/0000-0002-1451-3080"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony P. Reeves","raw_affiliation_strings":["School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-1451-3080","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5071690218"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":0.3061,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.52941284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"45","issue":"2","first_page":"1668","last_page":"1681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9962999820709229,"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":0.9962999820709229,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11854","display_name":"Laser-induced spectroscopy and plasma","score":0.9621000289916992,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/accuracy-and-precision","display_name":"Accuracy and precision","score":0.5680346488952637},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5174242258071899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5120330452919006},{"id":"https://openalex.org/keywords/system-of-measurement","display_name":"System of measurement","score":0.5031065344810486},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4719898998737335},{"id":"https://openalex.org/keywords/measurement-uncertainty","display_name":"Measurement uncertainty","score":0.47055792808532715},{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.44617632031440735},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44544166326522827},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4298776090145111},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4241310656070709},{"id":"https://openalex.org/keywords/observational-error","display_name":"Observational error","score":0.41217589378356934},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35319507122039795},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3369150161743164},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.3269634246826172},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16092219948768616},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12256881594657898}],"concepts":[{"id":"https://openalex.org/C202799725","wikidata":"https://www.wikidata.org/wiki/Q272035","display_name":"Accuracy and precision","level":2,"score":0.5680346488952637},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5174242258071899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5120330452919006},{"id":"https://openalex.org/C37649242","wikidata":"https://www.wikidata.org/wiki/Q932268","display_name":"System of measurement","level":2,"score":0.5031065344810486},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4719898998737335},{"id":"https://openalex.org/C137209882","wikidata":"https://www.wikidata.org/wiki/Q1403517","display_name":"Measurement uncertainty","level":2,"score":0.47055792808532715},{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.44617632031440735},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44544166326522827},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4298776090145111},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4241310656070709},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.41217589378356934},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35319507122039795},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3369150161743164},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.3269634246826172},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16092219948768616},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12256881594657898},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2022.3170926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3170926","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:35503825","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35503825","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":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:osti.gov:1998037","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1998037","pdf_url":"https://www.osti.gov/servlets/purl/1998037","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:1998037","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1998037","pdf_url":"https://www.osti.gov/servlets/purl/1998037","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1614985848","display_name":null,"funder_award_id":"DE-EE0007978","funder_id":"https://openalex.org/F4320332360","funder_display_name":"Office of Energy Efficiency and Renewable Energy"},{"id":"https://openalex.org/G4439946666","display_name":null,"funder_award_id":"80NSSC18K0480","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G7706110579","display_name":null,"funder_award_id":"DE-EE0007978","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320322037","display_name":"Nuclear Safety and Security Commission","ror":"https://ror.org/05qk3ge34"},{"id":"https://openalex.org/F4320332360","display_name":"Office of Energy Efficiency and Renewable Energy","ror":"https://ror.org/02xznz413"},{"id":"https://openalex.org/F4320337919","display_name":"Office of Energy Efficiency","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4225411503.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W208613973","https://openalex.org/W1536433673","https://openalex.org/W1619177205","https://openalex.org/W1967830510","https://openalex.org/W1976742620","https://openalex.org/W2001320683","https://openalex.org/W2002675209","https://openalex.org/W2011831660","https://openalex.org/W2017195092","https://openalex.org/W2026673180","https://openalex.org/W2046641306","https://openalex.org/W2054585288","https://openalex.org/W2060230922","https://openalex.org/W2069562432","https://openalex.org/W2083595350","https://openalex.org/W2084114886","https://openalex.org/W2084229272","https://openalex.org/W2093974998","https://openalex.org/W2111382152","https://openalex.org/W2139231828","https://openalex.org/W2140427427","https://openalex.org/W2145023731","https://openalex.org/W2153158528","https://openalex.org/W2167790077","https://openalex.org/W2169145781","https://openalex.org/W2171074980","https://openalex.org/W2221873563","https://openalex.org/W2233786943","https://openalex.org/W2251652857","https://openalex.org/W2317352637","https://openalex.org/W2329749766","https://openalex.org/W2435779933","https://openalex.org/W2466463055","https://openalex.org/W2594089829","https://openalex.org/W2741809762","https://openalex.org/W2936508606","https://openalex.org/W2995392102","https://openalex.org/W3074490372","https://openalex.org/W3115286711","https://openalex.org/W6719723900"],"related_works":["https://openalex.org/W2220451197","https://openalex.org/W2370122455","https://openalex.org/W3049121420","https://openalex.org/W2407741852","https://openalex.org/W1600397729","https://openalex.org/W1825457241","https://openalex.org/W2326770010","https://openalex.org/W3128781877","https://openalex.org/W2392627782","https://openalex.org/W2383833818"],"abstract_inverted_index":{"Dynamic":[0],"measurement":[1,11,63,150,185],"precision":[2,64,119,151,161,186],"assessment":[3],"has":[4],"been":[5],"achieved":[6],"for":[7,28,76,96,107,152,166,174,190],"a":[8,23,68,89,140,184],"differential":[9,35],"circle":[10,14,24,90],"application.":[12],"Differential":[13],"diameter":[15,42,59,97,108,122,155,158],"measurement,":[16],"in":[17,73],"image":[18,29,81,127,131,144],"analysis,":[19],"typically":[20],"requires":[21],"fitting":[22,86],"model":[25,93,134,141],"that":[26,133,147],"optimizes":[27],"distortions,":[30],"defects":[31],"or":[32,91],"occlusions.":[33],"The":[34,99,118,170],"task":[36],"occurs":[37],"when":[38,110],"precise":[39],"measurements":[40,60,109,123,159],"of":[41,65,67,101,114,120,181,187],"change":[43],"are":[44],"required":[45],"given":[46],"object":[47],"size":[48],"variation":[49],"with":[50,160],"time.":[51],"An":[52,80],"automated":[53],"system":[54],"was":[55,177,194],"designed":[56],"to":[57,88],"provide":[58],"and":[61],"associated":[62],"images":[66],"fuel":[69],"droplet":[70,116],"undergoing":[71],"combustion":[72],"zero":[74],"gravity":[75],"the":[77,115,121,126,135,149,191],"FLEX-2":[78,192],"dataset.":[79],"gradient-based,":[82],"least-squares":[83],"boundary":[84],"point":[85],"method":[87],"ellipse":[92],"is":[94],"used":[95],"measurement.":[98,156],"presence":[100],"soot":[102,136],"aggregates":[103],"poses":[104],"significant":[105],"challenges":[106],"it":[111],"occludes":[112],"part":[113],"boundary.":[117],"depends":[124],"upon":[125],"quality.":[128],"Using":[129],"synthetic":[130],"simulations":[132],"behavior,":[137],"we":[138],"developed":[139],"based":[142],"on":[143],"quality":[145],"measures":[146],"assesses":[148],"each":[153],"individual":[154],"Thus,":[157],"assessments":[162],"were":[163],"made":[164],"available":[165],"follow-up":[167],"scientific":[168],"analysis.":[169],"algorithm's":[171],"success":[172],"rate":[173],"measurable":[175],"runs":[176],"98%.":[178],"In":[179],"cases":[180],"limited":[182],"occlusion,":[183],"\u00b10.2":[188],"pixels":[189],"dataset":[193],"achieved.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
