{"id":"https://openalex.org/W33704797","doi":null,"title":"DIGITAL SPECKLE CORRELATION METHOD IMPROVED BY GENETIC ALGORITHM","display_name":"DIGITAL SPECKLE CORRELATION METHOD IMPROVED BY GENETIC ALGORITHM","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W33704797","mag":"33704797"},"language":"en","primary_location":{"id":"mag:33704797","doi":null,"is_oa":false,"landing_page_url":"http://www.cqvip.com/qk/87045X/200304/9165887.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306545822","display_name":"\u56fa\u4f53\u529b\u5b66\u5b66\u62a5\uff1a\u82f1\u6587\u7248","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"\u56fa\u4f53\u529b\u5b66\u5b66\u62a5\uff1a\u82f1\u6587\u7248","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5047386569","display_name":"MaShaopeng","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"MaShaopeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5032964749","display_name":"JillGuanchang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"JillGuanchang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3153,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.65868974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"16","issue":"4","first_page":"366","last_page":"373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T13049","display_name":"Surface Roughness and Optical Measurements","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11897","display_name":"Digital Holography and Microscopy","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/digital-speckle-correlation","display_name":"digital speckle correlation","score":0.9940000176429749},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.9760000109672546},{"id":"https://openalex.org/keywords/surface-displacement-measurement","display_name":"surface displacement measurement","score":0.7639999985694885},{"id":"https://openalex.org/keywords/strain-measurement","display_name":"strain measurement","score":0.9959999918937683},{"id":"https://openalex.org/keywords/optical-metrology","display_name":"optical metrology","score":0.7770000100135803},{"id":"https://openalex.org/keywords/large-deformation","display_name":"large deformation","score":0.7080000042915344},{"id":"https://openalex.org/keywords/computational-cost-reduction","display_name":"computational complexity reduction","score":0.6190000176429749}],"concepts":[{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.7900933027267456},{"id":"https://openalex.org/C115635565","wikidata":"https://www.wikidata.org/wiki/Q860900","display_name":"Digital image correlation","level":2,"score":0.6151366233825684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5791858434677124},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5784744620323181},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5383011698722839},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4796364903450012},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.47194379568099976},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.4491743743419647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4461131691932678},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.4424859285354614},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26544028520584106},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1537756323814392},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":"mag:33704797","doi":null,"is_oa":false,"landing_page_url":"http://www.cqvip.com/qk/87045X/200304/9165887.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306545822","display_name":"\u56fa\u4f53\u529b\u5b66\u5b66\u62a5\uff1a\u82f1\u6587\u7248","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"\u56fa\u4f53\u529b\u5b66\u5b66\u62a5\uff1a\u82f1\u6587\u7248","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1995336918","https://openalex.org/W1998751159","https://openalex.org/W2010541060","https://openalex.org/W2029832627","https://openalex.org/W2030813668","https://openalex.org/W2035741889","https://openalex.org/W2051855161","https://openalex.org/W2081492430","https://openalex.org/W2127450393","https://openalex.org/W2130390068","https://openalex.org/W2152383285","https://openalex.org/W2293790098","https://openalex.org/W2308895790","https://openalex.org/W2397980759","https://openalex.org/W2400950541","https://openalex.org/W2570257666","https://openalex.org/W2739729432","https://openalex.org/W2989133287","https://openalex.org/W4300600900","https://openalex.org/W6601359139","https://openalex.org/W6715109926"],"related_works":["https://openalex.org/W1980108848","https://openalex.org/W1975836242","https://openalex.org/W1652619409","https://openalex.org/W53881909","https://openalex.org/W2332556387","https://openalex.org/W3211764966","https://openalex.org/W1984395990","https://openalex.org/W1976379376","https://openalex.org/W3080460254","https://openalex.org/W1990676199"],"abstract_inverted_index":{"The":[0],"digital":[1],"speckle":[2,34,55,123],"correlation":[3],"method":[4],"is":[5,87],"an":[6,76],"important":[7],"optical":[8],"metrology":[9],"for":[10,84],"surface":[11],"displacement":[12],"and":[13,60,96,113],"strain":[14],"measurement.":[15],"With":[16],"this":[17,74,101],"technique,":[18],"the":[19,29,33,52,61,66,91,106,121,127,130],"whole":[20],"field":[21],"deformation":[22,59],"information":[23],"can":[24,104],"be":[25],"obtained":[26],"by":[27],"tracking":[28],"geometric":[30],"points":[31],"on":[32,37,80],"images":[35,56,69,124],"based":[36,79],"a":[38],"correlation-matching":[39,85,107],"search":[40,44,86,108],"technique.":[41],"However,":[42],"general":[43],"techniques":[45],"suffer":[46],"from":[47,90,120],"great":[48],"computational":[49,111],"complexity":[50],"in":[51,65],"processing":[53,67],"of":[54,68,70,93,99,129],"with":[57,109],"large":[58,62],"random":[63],"errors":[64],"bad":[71],"quality.":[72],"In":[73],"paper,":[75],"advanced":[77],"approach":[78,103],"genetic":[81],"algorithms":[82],"(GA)":[83],"developed.":[88],"Benefiting":[89],"abilities":[92],"global":[94],"optimum":[95],"parallelism":[97],"searching":[98],"GA,":[100],"new":[102,131],"complete":[105],"less":[110],"consumption":[112],"at":[114],"high":[115],"accuracy.":[116],"Two":[117],"experimental":[118],"results":[119],"simulated":[122],"have":[125],"proved":[126],"efficiency":[128],"approach.":[132]},"counts_by_year":[{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
