{"id":"https://openalex.org/W2801550758","doi":"https://doi.org/10.1117/12.2309522","title":"Pixel-wise deblurring imaging system based on active vision for structural health monitoring at a speed of 100 km/h","display_name":"Pixel-wise deblurring imaging system based on active vision for structural health monitoring at a speed of 100 km/h","publication_year":2018,"publication_date":"2018-04-13","ids":{"openalex":"https://openalex.org/W2801550758","doi":"https://doi.org/10.1117/12.2309522","mag":"2801550758"},"language":"en","primary_location":{"id":"doi:10.1117/12.2309522","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2309522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Tenth International Conference on Machine Vision (ICMV 2017)","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/A5086287691","display_name":"T. Hayakawa","orcid":"https://orcid.org/0000-0003-1205-5431"},"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":"Tomohiko Hayakawa","raw_affiliation_strings":["Univ. of Tokyo (Japan)"],"affiliations":[{"raw_affiliation_string":"Univ. of Tokyo (Japan)","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029553933","display_name":"Yushi Moko","orcid":"https://orcid.org/0000-0002-0402-3280"},"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":"Yushi Moko","raw_affiliation_strings":["Univ. of Tokyo (Japan)"],"affiliations":[{"raw_affiliation_string":"Univ. of Tokyo (Japan)","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086341669","display_name":"Kenta Morishita","orcid":null},"institutions":[{"id":"https://openalex.org/I48350267","display_name":"Central Japan Railway (Japan)","ror":"https://ror.org/0505he277","country_code":"JP","type":"company","lineage":["https://openalex.org/I48350267"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenta Morishita","raw_affiliation_strings":["Central Nippon Expressway Co. Ltd. (Japan)"],"affiliations":[{"raw_affiliation_string":"Central Nippon Expressway Co. Ltd. (Japan)","institution_ids":["https://openalex.org/I48350267"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010897098","display_name":"Masatoshi Ishikawa","orcid":"https://orcid.org/0000-0002-6096-830X"},"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":"Masatoshi Ishikawa","raw_affiliation_strings":["Univ. of Tokyo (Japan)"],"affiliations":[{"raw_affiliation_string":"Univ. of Tokyo (Japan)","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086287691"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":1.2342,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.8328294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"6496","issue":null,"first_page":"26","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9975000023841858,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.9191329479217529},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.79558926820755},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.7231552004814148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7178099751472473},{"id":"https://openalex.org/keywords/galvanometer","display_name":"Galvanometer","score":0.7127352356910706},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6041120290756226},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5980293154716492},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.49357712268829346},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.485392689704895},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.44126150012016296},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.40772441029548645},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.3323736786842346},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31976163387298584},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25866276025772095},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.24209064245224},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15901121497154236}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9191329479217529},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.79558926820755},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.7231552004814148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7178099751472473},{"id":"https://openalex.org/C29420128","wikidata":"https://www.wikidata.org/wiki/Q179472","display_name":"Galvanometer","level":3,"score":0.7127352356910706},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6041120290756226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5980293154716492},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.49357712268829346},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.485392689704895},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.44126150012016296},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.40772441029548645},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3323736786842346},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31976163387298584},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25866276025772095},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.24209064245224},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15901121497154236},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2309522","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2309522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Tenth International Conference on Machine Vision (ICMV 2017)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1996770283","https://openalex.org/W1999643483","https://openalex.org/W2017493107","https://openalex.org/W2083010511","https://openalex.org/W2091532736","https://openalex.org/W2116819795","https://openalex.org/W2126495893","https://openalex.org/W2153371837","https://openalex.org/W2156334766","https://openalex.org/W2164884584","https://openalex.org/W2280737201","https://openalex.org/W2567094234","https://openalex.org/W2889307338","https://openalex.org/W6671571876","https://openalex.org/W6678543623","https://openalex.org/W6684362898","https://openalex.org/W6731493559"],"related_works":["https://openalex.org/W4224288641","https://openalex.org/W4382450485","https://openalex.org/W4229459996","https://openalex.org/W2232201529","https://openalex.org/W2031788393","https://openalex.org/W2558246008","https://openalex.org/W4293737289","https://openalex.org/W791927757","https://openalex.org/W4224029260","https://openalex.org/W2033307681"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,78,97],"propose":[4],"a":[5,26,29,40,71,92,95,113],"pixel-wise":[6],"deblurring":[7],"imaging":[8],"(PDI)":[9],"system":[10,52,82,90],"based":[11],"on":[12],"active":[13],"vision":[14],"for":[15,58,83,104],"compensation":[16],"of":[17,39,70,115],"the":[18,45,80,89],"blur":[19],"caused":[20],"by":[21,36,50],"high-speed":[22,54],"one-dimensional":[23],"motion":[24,38,55],"between":[25],"camera":[27],"and":[28,60,108],"target.":[30],"The":[31],"optical":[32],"axis":[33],"is":[34,56],"controlled":[35],"back-and-forth":[37],"galvanometer":[41],"mirror":[42],"to":[43,74],"compensate":[44],"motion.":[46],"High-spatial-resolution":[47],"image":[48,102],"captured":[49],"our":[51],"in":[53,94,101],"useful":[57],"efficient":[59],"precise":[61],"visual":[62],"inspection,":[63],"such":[64],"as":[65],"visually":[66],"judging":[67],"abnormal":[68],"parts":[69],"tunnel":[72],"surface":[73],"prevent":[75],"accidents;":[76],"hence,":[77],"applied":[79],"PDI":[81],"structural":[84],"health":[85],"monitoring.":[86],"By":[87],"mounting":[88],"onto":[91],"vehicle":[93],"tunnel,":[96],"confirmed":[98],"significant":[99],"improvement":[100],"quality":[103],"submillimeter":[105],"black-and-white":[106],"stripes":[107],"real":[109],"tunnel-surface":[110],"cracks":[111],"at":[112],"speed":[114],"100":[116],"km/h.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}