乐胖代购免代理版

{"id":"https://openalex.org/W2021820189","doi":"https://doi.org/10.1117/12.594964","title":"Measuring image similarity in the presence of noise","display_name":"Measuring image similarity in the presence of noise","publication_year":2005,"publication_date":"2005-04-29","ids":{"openalex":"https://openalex.org/W2021820189","doi":"https://doi.org/10.1117/12.594964","mag":"2021820189"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.594964","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5041274548","display_name":"Gustavo K. Rohde","orcid":"https://orcid.org/0000-0003-1703-9035"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"funder","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gustavo K. Rohde","raw_affiliation_strings":["University of Maryland, College Park, United States"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, United States","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003745132","display_name":"Carlos A. Berenstein","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"funder","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlos A. Berenstein","raw_affiliation_strings":["University of Maryland, College Park, United States"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, United States","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110162620","display_name":"Dennis M. Healy","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"funder","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dennis M. Healy, Jr.","raw_affiliation_strings":["University of Maryland, College Park, United States"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, United States","institution_ids":["https://openalex.org/I66946132"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.216,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.627428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":86,"max":87},"biblio":{"volume":"5747","issue":null,"first_page":"132","last_page":"132"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.883,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.883,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8799,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.8539,"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/sinc-function","display_name":"Sinc function","score":0.69342816},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6307831}],"concepts":[{"id":"https://openalex.org/C152303783","wikidata":"https://www.wikidata.org/wiki/Q855949","display_name":"Sinc function","level":2,"score":0.69342816},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6307831},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.52822113},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.51042},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5066231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4975727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4717912},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4516496},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4508705},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44266355},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4167329},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37034994},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32983068},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.594964","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4389473778","https://openalex.org/W4309796328","https://openalex.org/W3212775635","https://openalex.org/W3170138564","https://openalex.org/W2385915439","https://openalex.org/W2376137830","https://openalex.org/W2314809861","https://openalex.org/W2184738069","https://openalex.org/W1979693299","https://openalex.org/W179411900"],"abstract_inverted_index":{"Measuring":[0],"the":[1,32,36,54,64,68,89],"similarity":[2,85],"between":[3],"discretely":[4],"sampled":[5],"intensity":[6,33],"values":[7,34],"of":[8,14,35,40,70],"different":[9],"images":[10],"as":[11,53],"a":[12,28],"function":[13,57],"geometric":[15],"transformations":[16,26],"is":[17],"necessary":[18],"for":[19,31],"performing":[20],"automatic":[21],"image":[22],"registration.":[23],"Arbitrary":[24],"spatial":[25],"require":[27],"continuous":[29],"model":[30,63],"discrete":[37,65],"images.":[38,66],"Because":[39],"computation":[41],"cost":[42],"most":[43],"researchers":[44],"choose":[45],"to":[46,62],"use":[47],"low":[48,59,76],"order":[49,60,77],"basis":[50],"functions,":[51],"such":[52],"linear":[55,92],"hat":[56],"or":[58],"B-splines,":[61],"Using":[67],"theory":[69],"random":[71],"processes":[72],"we":[73],"show":[74,99],"that":[75],"interpolators":[78],"cause":[79],"undesirable":[80],"local":[81],"optima":[82],"artifacts":[83,102],"in":[84],"measures":[86],"based":[87],"on":[88],"L₂":[90],"norm,":[91],"correlation":[93],"coefficient,":[94],"and":[95,107],"mutual":[96],"information.":[97],"We":[98],"how":[100],"these":[101],"can":[103],"be":[104],"significantly":[105],"reduced,":[106],"at":[108],"times":[109],"completely":[110],"eliminated,":[111],"by":[112],"using":[113],"sinc":[114],"approximating":[115],"kernels.":[116]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2021820189","counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-03-17T22:36:52.695274","created_date":"2016-06-24"}