{"id":"https://openalex.org/W2920457870","doi":"https://doi.org/10.1186/s13640-019-0440-9","title":"RETRACTED ARTICLE: Image processing algorithm of Hartmann method aberration automatic measurement system with tensor product model","display_name":"RETRACTED ARTICLE: Image processing algorithm of Hartmann method aberration automatic measurement system with tensor product model","publication_year":2019,"publication_date":"2019-02-12","ids":{"openalex":"https://openalex.org/W2920457870","doi":"https://doi.org/10.1186/s13640-019-0440-9","mag":"2920457870"},"language":"en","primary_location":{"id":"doi:10.1186/s13640-019-0440-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0440-9","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0440-9","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"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":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0440-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076380704","display_name":"Linyuan Fan","orcid":"https://orcid.org/0000-0001-9905-4188"},"institutions":[{"id":"https://openalex.org/I90259746","display_name":"Capital University of Economics and Business","ror":"https://ror.org/01r5sf951","country_code":"CN","type":"education","lineage":["https://openalex.org/I90259746"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linyuan Fan","raw_affiliation_strings":["School of Statistics, Capital University of Economics and Business, No. 121 Zhangjialukou Rd. Fengtai District, Beijing, 100070, China"],"affiliations":[{"raw_affiliation_string":"School of Statistics, Capital University of Economics and Business, No. 121 Zhangjialukou Rd. Fengtai District, Beijing, 100070, China","institution_ids":["https://openalex.org/I90259746"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5076380704"],"corresponding_institution_ids":["https://openalex.org/I90259746"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.2044,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51643348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2019","issue":"1","first_page":null,"last_page":null},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9998999834060669,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.7349987030029297},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6259466409683228},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5874488353729248},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5696592926979065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5091239809989929},{"id":"https://openalex.org/keywords/digital-image-processing","display_name":"Digital image processing","score":0.44513002038002014},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.428190678358078},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.42626094818115234},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.293537974357605}],"concepts":[{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.7349987030029297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6259466409683228},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5874488353729248},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5696592926979065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5091239809989929},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.44513002038002014},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.428190678358078},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.42626094818115234},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.293537974357605}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13640-019-0440-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0440-9","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0440-9","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"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":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:afac3b20fd9b4566834eee7ead2898dc","is_oa":true,"landing_page_url":"https://doaj.org/article/afac3b20fd9b4566834eee7ead2898dc","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Image and Video Processing, Vol 2019, Iss 1, Pp 1-9 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13640-019-0440-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0440-9","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0440-9","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"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":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2920457870.pdf","grobid_xml":"https://content.openalex.org/works/W2920457870.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W2048637946","https://openalex.org/W2054840272","https://openalex.org/W2147912749","https://openalex.org/W2517030463","https://openalex.org/W2581195246","https://openalex.org/W2595464559","https://openalex.org/W2599617121","https://openalex.org/W2607804943","https://openalex.org/W2619660439","https://openalex.org/W2649547806","https://openalex.org/W2747222428","https://openalex.org/W2761732830","https://openalex.org/W2767410506","https://openalex.org/W2774218402","https://openalex.org/W2777766203","https://openalex.org/W2779754747","https://openalex.org/W2781157864","https://openalex.org/W2784196105","https://openalex.org/W2786715563","https://openalex.org/W2789045291","https://openalex.org/W2791354025","https://openalex.org/W2792608300","https://openalex.org/W2793274363","https://openalex.org/W2797642258","https://openalex.org/W2802666060","https://openalex.org/W2963132928","https://openalex.org/W2963482794","https://openalex.org/W2964189960","https://openalex.org/W2964307381","https://openalex.org/W2970744785","https://openalex.org/W2976707377","https://openalex.org/W3101998308","https://openalex.org/W3103546061","https://openalex.org/W6637134683"],"related_works":["https://openalex.org/W2941415828","https://openalex.org/W2081985452","https://openalex.org/W1504972346","https://openalex.org/W4386504616","https://openalex.org/W2561491196","https://openalex.org/W1593730969","https://openalex.org/W2356087891","https://openalex.org/W2358437414","https://openalex.org/W2775496002","https://openalex.org/W2959195936"],"abstract_inverted_index":{"Abstract":[0],"Nowadays,":[1],"the":[2,6,11,15,21,24,31,43,63,75,78,99,128,144,149,156,160,163,169,173,177,180,183,188,204,207,212,219],"society":[3],"has":[4,101],"entered":[5],"digital":[7],"information":[8,12,25],"age,":[9],"and":[10,59,77,95,122,162,202,209,215],"contained":[13,26],"in":[14,27,74,84],"image":[16,34,67,111,116,152,175,208],"is":[17,68,125,139,153],"far":[18],"more":[19],"than":[20],"sum":[22],"of":[23,148,158,172,179,182,190,206,218],"other":[28],"media.":[29],"In":[30,86],"Internet":[32],"industry,":[33],"processing":[35,112],"technology":[36],"can":[37,186,199],"be":[38,93],"used":[39,140],"to":[40,88,141],"quickly":[41],"find":[42],"required":[44],"picture":[45],"information.":[46],"Other":[47],"applications":[48],"include":[49],"disaster":[50],"prevention,":[51],"industrial":[52],"automation":[53],"production":[54],"lines,":[55],"semiconductor,":[56],"electronics,":[57],"tobacco,":[58],"food":[60],"industries.":[61],"After":[62],"meter":[64],"glyph":[65],"spot":[66,100,184,205],"collected,":[69],"there":[70],"are":[71,82],"several":[72],"spots":[73],"image,":[76],"corresponding":[79],"pixel":[80],"values":[81],"stored":[83],"memory.":[85],"order":[87],"process":[89,143,203],"images,":[90],"they":[91],"should":[92],"distinguished":[94],"marked":[96],"so":[97],"that":[98,196],"definite":[102],"eigenvalues.":[103],"To":[104],"this":[105,107,197],"end,":[106],"paper":[108],"proposes":[109],"an":[110,115],"method.":[113],"Firstly,":[114],"denoising":[117],"method":[118,198],"combining":[119],"self-snake":[120],"model":[121,124,138],"P-M":[123],"introduced.":[126],"Secondly,":[127],"recursive":[129],"HOSVD":[130],"dimensionality":[131],"reduction":[132],"algorithm":[133,166],"based":[134],"on":[135],"tensor":[136],"product":[137],"further":[142],"image.":[145],"The":[146,192],"center":[147,164],"Hartmann":[150],"aperture":[151,174],"solved":[154],"by":[155,176],"centroid":[157,170,181,185],"all":[159],"spots,":[161],"overlap":[165],"for":[167],"determining":[168],"distance":[171],"symmetry":[178],"reduce":[187,211],"number":[189],"calculations.":[191],"experimental":[193],"results":[194],"show":[195],"effectively":[200],"identify":[201],"greatly":[210],"time":[213],"complexity":[214,217],"computational":[216],"algorithm.":[220]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2019-03-11T00:00:00"}