{"id":"https://openalex.org/W2026045101","doi":"https://doi.org/10.1155/2013/760704","title":"Image Matching by Using Fuzzy Transforms","display_name":"Image Matching by Using Fuzzy Transforms","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2026045101","doi":"https://doi.org/10.1155/2013/760704","mag":"2026045101"},"language":"en","primary_location":{"id":"doi:10.1155/2013/760704","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2013/760704","pdf_url":"https://downloads.hindawi.com/journals/afs/2013/760704.pdf","source":{"id":"https://openalex.org/S117816480","display_name":"Advances in Fuzzy Systems","issn_l":"1687-7101","issn":["1687-7101","1687-711X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Fuzzy Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/afs/2013/760704.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028234987","display_name":"Ferdinando Di Martino","orcid":"https://orcid.org/0000-0001-5690-5384"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ferdinando Di Martino","raw_affiliation_strings":["Dipartimento di Architettura, Universit\u00e0 degli Studi di Napoli Federico II, Via Monteoliveto 3, 80134 Napoli, Italy"],"raw_orcid":"https://orcid.org/0000-0001-5690-5384","affiliations":[{"raw_affiliation_string":"Dipartimento di Architettura, Universit\u00e0 degli Studi di Napoli Federico II, Via Monteoliveto 3, 80134 Napoli, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032241746","display_name":"Salvatore Sessa","orcid":"https://orcid.org/0000-0002-4303-2884"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Salvatore Sessa","raw_affiliation_strings":["Dipartimento di Architettura, Universit\u00e0 degli Studi di Napoli Federico II, Via Monteoliveto 3, 80134 Napoli, Italy"],"raw_orcid":"https://orcid.org/0000-0002-4303-2884","affiliations":[{"raw_affiliation_string":"Dipartimento di Architettura, Universit\u00e0 degli Studi di Napoli Federico II, Via Monteoliveto 3, 80134 Napoli, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":900,"currency":"USD","value_usd":900},"apc_paid":{"value":900,"currency":"USD","value_usd":900},"fwci":1.8623,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.853976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2013","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11727","display_name":"Advanced Algebra and Logic","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.994700014591217,"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/matching","display_name":"Matching (statistics)","score":0.6120578646659851},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6103672981262207},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5832183957099915},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.56987065076828},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5530539155006409},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5512663722038269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5207397937774658},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4927516281604767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47791653871536255},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4742250144481659},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40868234634399414},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3583473563194275},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24084991216659546},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12341484427452087}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6120578646659851},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6103672981262207},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5832183957099915},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.56987065076828},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5530539155006409},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5512663722038269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5207397937774658},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4927516281604767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47791653871536255},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4742250144481659},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40868234634399414},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3583473563194275},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24084991216659546},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12341484427452087},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2013/760704","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2013/760704","pdf_url":"https://downloads.hindawi.com/journals/afs/2013/760704.pdf","source":{"id":"https://openalex.org/S117816480","display_name":"Advances in Fuzzy Systems","issn_l":"1687-7101","issn":["1687-7101","1687-711X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Fuzzy Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:289cc566d7a34914a14ba9702ddd8167","is_oa":true,"landing_page_url":"https://doaj.org/article/289cc566d7a34914a14ba9702ddd8167","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advances in Fuzzy Systems, Vol 2013 (2013)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2013/760704","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2013/760704","pdf_url":"https://downloads.hindawi.com/journals/afs/2013/760704.pdf","source":{"id":"https://openalex.org/S117816480","display_name":"Advances in Fuzzy Systems","issn_l":"1687-7101","issn":["1687-7101","1687-711X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Fuzzy Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2026045101.pdf","grobid_xml":"https://content.openalex.org/works/W2026045101.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W127405698","https://openalex.org/W151925490","https://openalex.org/W409549338","https://openalex.org/W657218221","https://openalex.org/W1535398574","https://openalex.org/W1964387315","https://openalex.org/W1973391675","https://openalex.org/W1990673965","https://openalex.org/W2002471679","https://openalex.org/W2012201562","https://openalex.org/W2013655648","https://openalex.org/W2015152471","https://openalex.org/W2025414084","https://openalex.org/W2029338278","https://openalex.org/W2037248507","https://openalex.org/W2039039921","https://openalex.org/W2041241738","https://openalex.org/W2061821032","https://openalex.org/W2068570931","https://openalex.org/W2075594316","https://openalex.org/W2089631843","https://openalex.org/W2092376312","https://openalex.org/W2112845504","https://openalex.org/W2134691152","https://openalex.org/W2137807761","https://openalex.org/W2148634357","https://openalex.org/W2159441390","https://openalex.org/W2167802269","https://openalex.org/W2168398864","https://openalex.org/W2294163161"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W4234808182","https://openalex.org/W2382043075","https://openalex.org/W2809151339","https://openalex.org/W2360673138","https://openalex.org/W2809370583","https://openalex.org/W2333722679","https://openalex.org/W4255628145","https://openalex.org/W2093320919"],"abstract_inverted_index":{"We":[0,87],"apply":[1],"the":[2,12,15,20,34,50,62,79,84,92,97,105,116,130],"concept":[3],"of":[4,14,55,65,81,126],"Fuzzy":[5,23,37],"Transform":[6],"(for":[7,25,39],"short,":[8,26,40],"F-transform)":[9],"for":[10],"improving":[11],"results":[13,106],"image":[16,57,68,93],"matching":[17],"based":[18,114],"on":[19,91,115,124],"Greatest":[21],"Eigen":[22,36],"Set":[24,38],"GEFS)":[27],"with":[28,42,61,108,111],"respect":[29,43],"to":[30,44,69,77],"max-min":[31],"composition":[32,46],"and":[33,72,118],"Smallest":[35],"SEFS)":[41],"min-max":[45],"already":[47],"studied":[48],"in":[49],"literature.":[51],"The":[52],"direct":[53,63],"F-transform":[54,64],"an":[56],"can":[58],"be":[59,70],"compared":[60],"a":[66],"sample":[67],"matched":[71],"we":[73],"use":[74],"suitable":[75],"indexes":[76],"measure":[78],"grade":[80],"similarity":[82],"between":[83],"two":[85],"images.":[86],"make":[88],"our":[89],"experiments":[90,121],"dataset":[94],"extracted":[95,128],"from":[96,129],"well-known":[98],"Prima":[99],"Project":[100],"View":[101],"Sphere":[102],"Database,":[103],"comparing":[104],"obtained":[107],"this":[109],"method":[110],"that":[112],"one":[113],"GEFS":[117],"SEFS.":[119],"Other":[120],"are":[122],"performed":[123],"frames":[125],"videos":[127],"Ohio":[131],"State":[132],"University":[133],"dataset.":[134]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
