{"id":"https://openalex.org/W2738736370","doi":"https://doi.org/10.23919/mva.2017.7986758","title":"Real-time image improvement system for visual testing of nuclear reactors","display_name":"Real-time image improvement system for visual testing of nuclear reactors","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2738736370","doi":"https://doi.org/10.23919/mva.2017.7986758","mag":"2738736370"},"language":"en","primary_location":{"id":"doi:10.23919/mva.2017.7986758","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mva.2017.7986758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5081520378","display_name":"Naoki Hosoya","orcid":"https://orcid.org/0000-0001-5540-4123"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoki Hosoya","raw_affiliation_strings":["Hitachi, Ltd, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hitachi, Ltd, Kanagawa, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101936981","display_name":"Atsushi Miyamoto","orcid":"https://orcid.org/0000-0003-0821-8488"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsushi Miyamoto","raw_affiliation_strings":["Hitachi, Ltd, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hitachi, Ltd, Kanagawa, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062156926","display_name":"Junichirou Naganuma","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Junichirou Naganuma","raw_affiliation_strings":["Hitachi-GE Nuclear Energy, Ltd., Ibaraki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hitachi-GE Nuclear Energy, Ltd., Ibaraki, Japan","institution_ids":["https://openalex.org/I65143321"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I65143321"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.07119043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9916999936103821,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9916999936103821,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9872999787330627,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.977400004863739,"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/computer-science","display_name":"Computer science","score":0.6912521123886108},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4909270107746124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3949128985404968},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.382254034280777},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3208500146865845},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11362415552139282}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6912521123886108},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4909270107746124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3949128985404968},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.382254034280777},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3208500146865845},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11362415552139282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/mva.2017.7986758","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mva.2017.7986758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1981991247","https://openalex.org/W2036644691","https://openalex.org/W2086087329","https://openalex.org/W2099244020","https://openalex.org/W2104552063","https://openalex.org/W2137307921","https://openalex.org/W3212247076","https://openalex.org/W6803520776"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2170022336"],"abstract_inverted_index":{"In":[0],"nuclear":[1],"power":[2],"plants,":[3],"visual":[4],"testing":[5],"(VT)":[6],"based":[7],"on":[8,32,89],"video":[9,62],"images":[10,34,49,81],"taken":[11],"from":[12],"an":[13],"underwater":[14],"camera":[15],"is":[16,21,30],"carried":[17],"out.":[18],"However,":[19],"it":[20],"a":[22,26,41,72,85],"problem":[23],"in":[24],"that":[25,53],"lot":[27],"of":[28,47,79],"noise":[29,56],"superimposed":[31],"VT":[33,80],"due":[35],"to":[36,84],"radiation":[37,55],"exposure.":[38],"We":[39],"propose":[40],"technique":[42,70],"for":[43],"improving":[44],"the":[45,68,77],"quality":[46],"those":[48],"by":[50,66],"image":[51],"processing":[52,63,74],"includes":[54],"reduction":[57],"and":[58],"signal":[59],"enhancement.":[60],"Real-time":[61],"was":[64],"realized":[65],"applying":[67],"proposed":[69],"with":[71],"parallel":[73],"unit.":[75],"Improving":[76],"clarity":[78],"will":[82],"lead":[83],"reduced":[86],"burden":[87],"placed":[88],"inspectors.":[90]},"counts_by_year":[{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
