{"id":"https://openalex.org/W2613329325","doi":"https://doi.org/10.1117/12.2266221","title":"Component extraction on CT volumes of assembled products using geometric template matching","display_name":"Component extraction on CT volumes of assembled products using geometric template matching","publication_year":2017,"publication_date":"2017-03-13","ids":{"openalex":"https://openalex.org/W2613329325","doi":"https://doi.org/10.1117/12.2266221","mag":"2613329325"},"language":"en","primary_location":{"id":"doi:10.1117/12.2266221","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2266221","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5084816629","display_name":"Katsutoshi Muramatsu","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsutoshi Muramatsu","raw_affiliation_strings":["The Univ. of Tokyo (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Tokyo (Japan)","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049557830","display_name":"Yutaka Ohtake","orcid":"https://orcid.org/0000-0002-1368-9172"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yutaka Ohtake","raw_affiliation_strings":["The Univ. of Tokyo (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Tokyo (Japan)","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050584905","display_name":"Hiromasa Suzuki","orcid":"https://orcid.org/0000-0002-8152-6172"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiromasa Suzuki","raw_affiliation_strings":["The Univ. of Tokyo (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Tokyo (Japan)","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067742588","display_name":"Yukie Nagai","orcid":"https://orcid.org/0000-0003-4794-0940"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukie Nagai","raw_affiliation_strings":["The Univ. of Tokyo (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Univ. of Tokyo (Japan)","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0430079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10338","issue":null,"first_page":"103381E","last_page":"103381E"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9986000061035156,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/voxel","display_name":"Voxel","score":0.8486782908439636},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6684297323226929},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.645455002784729},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.6354740858078003},{"id":"https://openalex.org/keywords/template","display_name":"Template","score":0.6074009537696838},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5492817759513855},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.5451589822769165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5219942331314087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4920501112937927},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48840755224227905},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.4557258188724518},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41402679681777954},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40051645040512085},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3337400555610657},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32253581285476685},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2329384684562683},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1190042793750763},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11864909529685974}],"concepts":[{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.8486782908439636},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6684297323226929},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.645455002784729},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.6354740858078003},{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.6074009537696838},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5492817759513855},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.5451589822769165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5219942331314087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4920501112937927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48840755224227905},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.4557258188724518},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41402679681777954},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40051645040512085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3337400555610657},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32253581285476685},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2329384684562683},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1190042793750763},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11864909529685974},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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},{"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:10.1117/12.2266221","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2266221","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2160754664"],"related_works":["https://openalex.org/W2361315595","https://openalex.org/W2602219756","https://openalex.org/W2092361839","https://openalex.org/W2360986010","https://openalex.org/W2383447469","https://openalex.org/W9684605","https://openalex.org/W2371197140","https://openalex.org/W2012236123","https://openalex.org/W1605702723","https://openalex.org/W2089779414"],"abstract_inverted_index":{"As":[0],"a":[1,65,75],"method":[2,96],"of":[3,77,113,126,147,159],"non-destructive":[4],"internal":[5],"inspection,":[6],"X-ray":[7],"computed":[8],"tomography":[9],"(CT)":[10],"is":[11,36,116,168],"used":[12],"not":[13],"only":[14],"in":[15],"medical":[16],"applications":[17],"but":[18],"also":[19],"for":[20],"product":[21],"inspection.":[22],"Some":[23],"assembled":[24,178],"products":[25,179],"can":[26],"be":[27,39,52,151],"divided":[28],"into":[29],"separate":[30],"components":[31,46,149,172],"based":[32],"on":[33,180],"density,":[34],"which":[35],"known":[37],"to":[38,42,150,170],"approximately":[40],"proportional":[41],"CT":[43,56,72,82,121,155,181],"values.":[44],"However,":[45],"whose":[47],"densities":[48],"are":[49,137],"similar":[50,174],"cannot":[51],"distinguished":[53],"using":[54,74,123],"the":[55,71,85,89,93,107,111,120,124,127,131,141,144,148,154,165,177],"value":[57,83],"driven":[58],"approach.":[59],"In":[60],"this":[61],"study,":[62],"we":[63],"proposed":[64,166],"new":[66],"component":[67],"extraction":[68],"algorithm":[69,167],"from":[70,119,153],"volume,":[73,122],"set":[76],"voxels":[78],"with":[79,84,140,173],"an":[80],"assigned":[81],"surface":[86],"mesh":[87],"as":[88],"template":[90,125],"rather":[91],"than":[92],"density.":[94],"The":[95,157],"has":[97],"two":[98,160],"main":[99],"stages:":[100],"rough":[101,108],"matching":[102,109,133],"and":[103],"fine":[104,132],"matching.":[105],"At":[106,130],"stage,":[110,134],"position":[112,146],"candidate":[114],"targets":[115],"identified":[117],"roughly":[118],"target":[128],"component.":[129],"these":[135],"candidates":[136],"precisely":[138],"matched":[139],"templates,":[142],"allowing":[143],"correct":[145],"detected":[152],"volume.":[156],"results":[158],"computational":[161],"experiments":[162],"showed":[163],"that":[164],"able":[169],"extract":[171],"density":[175],"within":[176],"volumes.":[182]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}