{"id":"https://openalex.org/W3038921846","doi":"https://doi.org/10.1109/i2mtc43012.2020.9128511","title":"Automated Segmentation of Profiled Fibers in cross-sectional Micrographs for Quality Control","display_name":"Automated Segmentation of Profiled Fibers in cross-sectional Micrographs for Quality Control","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3038921846","doi":"https://doi.org/10.1109/i2mtc43012.2020.9128511","mag":"3038921846"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc43012.2020.9128511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc43012.2020.9128511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5086371620","display_name":"Oliver Rippel","orcid":"https://orcid.org/0000-0002-4556-5094"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Oliver Rippel","raw_affiliation_strings":["Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035082143","display_name":"Maximilian Schnabel","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maximilian Schnabel","raw_affiliation_strings":["Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108653489","display_name":"Georg-Philipp Paar","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Georg-Philipp Paar","raw_affiliation_strings":["Institut f\u00fcr Textiltechnik RWTH Aachen University, Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Textiltechnik RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020077686","display_name":"Thomas Gries","orcid":"https://orcid.org/0000-0002-2480-8333"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Gries","raw_affiliation_strings":["Institut f\u00fcr Textiltechnik RWTH Aachen University, Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Textiltechnik RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064747056","display_name":"Dorit Merhof","orcid":"https://orcid.org/0000-0002-1672-2185"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dorit Merhof","raw_affiliation_strings":["Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086371620"],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":null,"apc_paid":null,"fwci":0.1783,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57803841,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9919000267982483,"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":0.9864000082015991,"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/segmentation","display_name":"Segmentation","score":0.8138080835342407},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7881373167037964},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6596197485923767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6037141680717468},{"id":"https://openalex.org/keywords/fiber","display_name":"Fiber","score":0.5335453152656555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5146856904029846},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4308794140815735},{"id":"https://openalex.org/keywords/shape-factor","display_name":"Shape factor","score":0.4276455342769623},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41065773367881775},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3807956278324127},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3472374677658081},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.182936429977417},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.16694113612174988},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.09359320998191833}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8138080835342407},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7881373167037964},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6596197485923767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6037141680717468},{"id":"https://openalex.org/C519885992","wikidata":"https://www.wikidata.org/wiki/Q161","display_name":"Fiber","level":2,"score":0.5335453152656555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5146856904029846},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4308794140815735},{"id":"https://openalex.org/C77993745","wikidata":"https://www.wikidata.org/wiki/Q3072364","display_name":"Shape factor","level":2,"score":0.4276455342769623},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41065773367881775},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3807956278324127},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3472374677658081},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.182936429977417},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.16694113612174988},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.09359320998191833},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/i2mtc43012.2020.9128511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc43012.2020.9128511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1540596182","https://openalex.org/W1980262437","https://openalex.org/W2012638112","https://openalex.org/W2029141039","https://openalex.org/W2041625018","https://openalex.org/W2051688318","https://openalex.org/W2058333183","https://openalex.org/W2066958801","https://openalex.org/W2091974946","https://openalex.org/W2117082683","https://openalex.org/W2124351162","https://openalex.org/W2133059825","https://openalex.org/W2133496072","https://openalex.org/W2135985952","https://openalex.org/W2148912386","https://openalex.org/W2494638717","https://openalex.org/W3109620757","https://openalex.org/W4243563432","https://openalex.org/W6679820939","https://openalex.org/W6723635080"],"related_works":["https://openalex.org/W1996386613","https://openalex.org/W2397288865","https://openalex.org/W3037187668","https://openalex.org/W2368524271","https://openalex.org/W2576709312","https://openalex.org/W2023657818","https://openalex.org/W2392797073","https://openalex.org/W2380685755","https://openalex.org/W2384907669","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0,109,162],"industrial":[1,87],"standard":[2],"for":[3,99],"quality":[4,174],"control":[5,175],"of":[6,13,45,63,80,89,103,112,123,151,176],"pro-filed":[7],"fibers":[8,65,82,105],"is":[9,22,36,70,83,165],"the":[10,18,41,46,60,124,144,172],"visual":[11],"inspection":[12],"a":[14,52,56,97,147],"batch\u2019s":[15],"deviation":[16],"from":[17],"production":[19],"master.":[20],"This":[21],"performed":[23],"by":[24],"human":[25],"experts":[26],"using":[27,138],"cross-sectional":[28,67,107],"micrographs.":[29,108],"An":[30],"alternative":[31],"to":[32,37,85,170],"this":[33],"qualitative":[34],"analysis":[35],"use":[38,88],"metrics":[39],"describing":[40],"desired":[42],"morphological":[43],"characteristics":[44],"fiber,":[47],"so-called":[48],"shape":[49,91],"factors,":[50],"in":[51,66,106],"quantitative":[53,57,90,173],"approach.":[54],"Such":[55],"approach":[58],"requires":[59],"manual":[61,139],"segmentation":[62,79,102,116],"profiled":[64,81,104,135,177],"micrographs,":[68],"and":[69,73,95,117,128,168],"therefore":[71],"time-consuming":[72],"economically":[74],"infeasible.":[75],"Thus,":[76],"an":[77],"automated":[78,100],"required":[84],"facilitate":[86,171],"factor":[92],"analysis.We":[93],"develop":[94],"present":[96],"pipeline":[98,110,125,164],"instance":[101],"consists":[111],"preprocessing,":[113],"seed":[114],"generation,":[115],"candidate":[118],"selection":[119],"steps.":[120],"Different":[121],"configurations":[122],"were":[126],"investigated":[127],"their":[129],"performance":[130],"was":[131],"evaluated":[132,159],"across":[133],"four":[134,158],"fiber":[136,160],"types":[137],"segmentations":[140],"as":[141],"groundtruth.":[142],"For":[143],"best":[145],"configuration,":[146],"median":[148],"F1":[149],"score":[150],"0.935":[152],"could":[153],"be":[154],"achieved":[155],"over":[156],"all":[157],"types.":[161],"developed":[163],"publicly":[166],"available":[167],"expected":[169],"fibers.":[178]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}