{"id":"https://openalex.org/W4313458947","doi":"https://doi.org/10.1007/s41095-022-0296-2","title":"Bin-scanning: Segmentation of X-ray CT volume of binned parts using Morse skeleton graph of distance transform","display_name":"Bin-scanning: Segmentation of X-ray CT volume of binned parts using Morse skeleton graph of distance transform","publication_year":2023,"publication_date":"2023-01-03","ids":{"openalex":"https://openalex.org/W4313458947","doi":"https://doi.org/10.1007/s41095-022-0296-2"},"language":"en","primary_location":{"id":"doi:10.1007/s41095-022-0296-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-022-0296-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-022-0296-2.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s41095-022-0296-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018560334","display_name":"Yuta Yamauchi","orcid":"https://orcid.org/0000-0003-0289-8398"},"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":"Yuta Yamauchi","raw_affiliation_strings":["School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071419414","display_name":"Tatsuya Yatagawa","orcid":"https://orcid.org/0000-0003-4653-2435"},"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":"Tatsuya Yatagawa","raw_affiliation_strings":["School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, 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":["School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035101365","display_name":"Hiromasa Suzuki","orcid":"https://orcid.org/0000-0003-4237-1101"},"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":true,"raw_author_name":"Hiromasa Suzuki","raw_affiliation_strings":["School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035101365"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.3361,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55451466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"9","issue":"2","first_page":"319","last_page":"333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9951000213623047,"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":0.9947999715805054,"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/voxel","display_name":"Voxel","score":0.6988485455513},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6179195642471313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5957311987876892},{"id":"https://openalex.org/keywords/parallelepiped","display_name":"Parallelepiped","score":0.5808594226837158},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5724744200706482},{"id":"https://openalex.org/keywords/bin","display_name":"Bin","score":0.5503225326538086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5153095722198486},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.5113508105278015},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5032829642295837},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.48345622420310974},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45216381549835205},{"id":"https://openalex.org/keywords/distance-transform","display_name":"Distance transform","score":0.43299949169158936},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.38856208324432373},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33134326338768005},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31318217515945435},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2044537365436554},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18541452288627625}],"concepts":[{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6988485455513},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6179195642471313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5957311987876892},{"id":"https://openalex.org/C2779788511","wikidata":"https://www.wikidata.org/wiki/Q181658","display_name":"Parallelepiped","level":2,"score":0.5808594226837158},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5724744200706482},{"id":"https://openalex.org/C156273044","wikidata":"https://www.wikidata.org/wiki/Q4913766","display_name":"Bin","level":2,"score":0.5503225326538086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5153095722198486},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.5113508105278015},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5032829642295837},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.48345622420310974},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45216381549835205},{"id":"https://openalex.org/C73621898","wikidata":"https://www.wikidata.org/wiki/Q2940504","display_name":"Distance transform","level":3,"score":0.43299949169158936},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.38856208324432373},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33134326338768005},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31318217515945435},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2044537365436554},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18541452288627625},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s41095-022-0296-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-022-0296-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-022-0296-2.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fd74c9ecfc6449c99f3339c2acb72a35","is_oa":true,"landing_page_url":"https://doaj.org/article/fd74c9ecfc6449c99f3339c2acb72a35","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":"Computational Visual Media, Vol 9, Iss 2, Pp 319-333 (2023)","raw_type":"article"},{"id":"pmh:oai:irdb.nii.ac.jp:01368:0007316239","is_oa":true,"landing_page_url":"https://hit-u.repo.nii.ac.jp/records/2059427","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Visual Media","raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.1007/s41095-022-0296-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41095-022-0296-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41095-022-0296-2.pdf","source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.550000011920929}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335125","display_name":"RIKEN","ror":"https://ror.org/01sjwvz98"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4313458947.pdf"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W1595332435","https://openalex.org/W1600748172","https://openalex.org/W1788286173","https://openalex.org/W1867138996","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1927021626","https://openalex.org/W1975207205","https://openalex.org/W1999478155","https://openalex.org/W2017709497","https://openalex.org/W2041812800","https://openalex.org/W2049391017","https://openalex.org/W2049981393","https://openalex.org/W2064020260","https://openalex.org/W2064165884","https://openalex.org/W2067191022","https://openalex.org/W2089982566","https://openalex.org/W2104095591","https://openalex.org/W2107235635","https://openalex.org/W2108824264","https://openalex.org/W2113735126","https://openalex.org/W2115678526","https://openalex.org/W2123207641","https://openalex.org/W2124260943","https://openalex.org/W2126359798","https://openalex.org/W2128019145","https://openalex.org/W2133059825","https://openalex.org/W2136682011","https://openalex.org/W2141240481","https://openalex.org/W2144382784","https://openalex.org/W2146019744","https://openalex.org/W2147405597","https://openalex.org/W2151103935","https://openalex.org/W2151743452","https://openalex.org/W2157514509","https://openalex.org/W2160821342","https://openalex.org/W2161168419","https://openalex.org/W2164500538","https://openalex.org/W2167036988","https://openalex.org/W2168002178","https://openalex.org/W2169551590","https://openalex.org/W2343970360","https://openalex.org/W2405965731","https://openalex.org/W2464708700","https://openalex.org/W2475195788","https://openalex.org/W2565639579","https://openalex.org/W2613041730","https://openalex.org/W2618237340","https://openalex.org/W2738088905","https://openalex.org/W2810599149","https://openalex.org/W2896289918","https://openalex.org/W2910733693","https://openalex.org/W2955353723","https://openalex.org/W3034275286","https://openalex.org/W3081727571","https://openalex.org/W3099546855","https://openalex.org/W3108472839","https://openalex.org/W3110418156","https://openalex.org/W3132592269","https://openalex.org/W3211330693","https://openalex.org/W4233857083","https://openalex.org/W4362597616"],"related_works":["https://openalex.org/W4383816821","https://openalex.org/W4206177919","https://openalex.org/W2039086087","https://openalex.org/W2112556758","https://openalex.org/W2736693203","https://openalex.org/W2121807366","https://openalex.org/W4310063355","https://openalex.org/W2050534380","https://openalex.org/W2110113201","https://openalex.org/W2015086390"],"abstract_inverted_index":{"X-ray":[0],"CT":[1,58,67,139,203],"scanners,":[2],"due":[3],"to":[4,33,50,71,78,117,127,136],"the":[5,12,35,42,73,76,90,106,111,114,129,138,161,165,190],"transmissive":[6],"nature":[7],"of":[8,15,24,37,60,81,89,110,164,186,205],"X-rays,":[9],"have":[10],"enabled":[11],"non-destructive":[13],"evaluation":[14,170],"industrial":[16],"products,":[17],"even":[18,182],"inside":[19],"their":[20],"bodies.":[21],"In":[22],"light":[23],"its":[25],"effectiveness,":[26],"this":[27,51,101],"study":[28],"introduces":[29],"a":[30,46,54,65,123,133,142,148,184,201],"new":[31],"approach":[32,176],"accelerate":[34],"inspection":[36],"many":[38,61],"mechanical":[39],"parts":[40,62,74,91,116,180],"with":[41],"same":[43],"shape":[44],"in":[45,75,154,196],"bin.":[47],"The":[48,168],"input":[49],"problem":[52,126],"is":[53],"volumetric":[55,108],"image":[56],"(i.e.,":[57],"volume)":[59],"obtained":[63],"by":[64],"single":[66],"scan.":[68],"We":[69,131],"need":[70],"segment":[72,128],"volume":[77,140,204],"inspect":[79],"each":[80],"them;":[82],"however,":[83],"random":[84],"postures":[85],"and":[86,113,121],"dense":[87],"contacts":[88],"prohibit":[92],"part":[93],"segmentation":[94],"using":[95],"traditional":[96],"template":[97,112],"matching.":[98],"To":[99],"address":[100],"problem,":[102],"we":[103,146],"convert":[104,137],"both":[105],"scanned":[107],"images":[109],"binned":[115],"simpler":[118],"graph":[119,149,156],"structures":[120],"solve":[122],"subgraph":[124],"matching":[125],"parts.":[130,188],"perform":[132],"distance":[134,143,166],"transform":[135],"into":[141],"field.":[144,167],"Then,":[145],"construct":[147],"based":[150],"on":[151],"Morse":[152],"theory,":[153],"which":[155],"nodes":[157],"are":[158],"located":[159],"at":[160],"extremum":[162],"points":[163],"experimental":[169],"demonstrates":[171],"that":[172],"our":[173],"fully":[174],"automatic":[175],"can":[177,193],"detect":[178],"target":[179],"appropriately,":[181],"for":[183,200],"heap":[185],"50":[187],"Moreover,":[189],"overall":[191],"computation":[192],"be":[194],"performed":[195],"approximately":[197,206],"30":[198],"min":[199],"large":[202],"2000\u00d72000\u00d71000":[207],"voxels.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}