{"id":"https://openalex.org/W2556141502","doi":"https://doi.org/10.3390/sym8110130","title":"Image Intelligent Detection Based on the Gabor Wavelet and the Neural Network","display_name":"Image Intelligent Detection Based on the Gabor Wavelet and the Neural Network","publication_year":2016,"publication_date":"2016-11-15","ids":{"openalex":"https://openalex.org/W2556141502","doi":"https://doi.org/10.3390/sym8110130","mag":"2556141502"},"language":"en","primary_location":{"id":"doi:10.3390/sym8110130","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym8110130","pdf_url":"https://www.mdpi.com/2073-8994/8/11/130/pdf?version=1479211571","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/8/11/130/pdf?version=1479211571","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102177453","display_name":"Yajun Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajun Xu","raw_affiliation_strings":["College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001546343","display_name":"Fengmei Liang","orcid":"https://orcid.org/0000-0002-5050-8270"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fengmei Liang","raw_affiliation_strings":["College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669218","display_name":"Zhang Gang","orcid":"https://orcid.org/0000-0001-8237-1806"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Zhang","raw_affiliation_strings":["College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109411570","display_name":"Huifang Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huifang Xu","raw_affiliation_strings":["Daqin Railway Co. Ltd., Taiyuan Railway Administration, Taiyuan 030013, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daqin Railway Co. Ltd., Taiyuan Railway Administration, Taiyuan 030013, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5001546343"],"corresponding_institution_ids":["https://openalex.org/I9086337"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":1.1601,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.85534825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"8","issue":"11","first_page":"130","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9962000250816345,"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/T10057","display_name":"Face and Expression Recognition","score":0.9962000250816345,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9927999973297119,"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/gabor-wavelet","display_name":"Gabor wavelet","score":0.8623566627502441},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8011442422866821},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7617628574371338},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7115699052810669},{"id":"https://openalex.org/keywords/gabor-transform","display_name":"Gabor transform","score":0.6048961281776428},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5674996376037598},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5252123475074768},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5230377912521362},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5217845439910889},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5154165029525757},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5115212202072144},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.47975003719329834},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.47069454193115234},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.25328680872917175},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.22168606519699097}],"concepts":[{"id":"https://openalex.org/C136902061","wikidata":"https://www.wikidata.org/wiki/Q16981559","display_name":"Gabor wavelet","level":5,"score":0.8623566627502441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8011442422866821},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7617628574371338},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7115699052810669},{"id":"https://openalex.org/C173149727","wikidata":"https://www.wikidata.org/wiki/Q996397","display_name":"Gabor transform","level":4,"score":0.6048961281776428},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5674996376037598},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5252123475074768},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5230377912521362},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5217845439910889},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5154165029525757},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5115212202072144},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.47975003719329834},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.47069454193115234},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.25328680872917175},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.22168606519699097},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym8110130","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym8110130","pdf_url":"https://www.mdpi.com/2073-8994/8/11/130/pdf?version=1479211571","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7040d3cad6d8459b9e22fd5004d58537","is_oa":true,"landing_page_url":"https://doaj.org/article/7040d3cad6d8459b9e22fd5004d58537","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":"Symmetry, Vol 8, Iss 11, p 130 (2016)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/8/11/130/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym8110130","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry; Volume 8; Issue 11; Pages: 130","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym8110130","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym8110130","pdf_url":"https://www.mdpi.com/2073-8994/8/11/130/pdf?version=1479211571","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322666","display_name":"Natural Science Foundation of Shanxi Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2556141502.pdf","grobid_xml":"https://content.openalex.org/works/W2556141502.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1538725615","https://openalex.org/W2064600607","https://openalex.org/W2079387270","https://openalex.org/W2095757522","https://openalex.org/W2125874614","https://openalex.org/W2143807600","https://openalex.org/W2158424441","https://openalex.org/W2292451947","https://openalex.org/W2297390376","https://openalex.org/W2325020570","https://openalex.org/W2333462424","https://openalex.org/W2355879620","https://openalex.org/W2384350173","https://openalex.org/W2386896662","https://openalex.org/W2491345734","https://openalex.org/W2980844011","https://openalex.org/W3017323153","https://openalex.org/W6696779785","https://openalex.org/W6769361208","https://openalex.org/W7028472898"],"related_works":["https://openalex.org/W1710806717","https://openalex.org/W2394322125","https://openalex.org/W2355521768","https://openalex.org/W2359662965","https://openalex.org/W2055938957","https://openalex.org/W2130331495","https://openalex.org/W1905998934","https://openalex.org/W4210684035","https://openalex.org/W2902714807","https://openalex.org/W2803685646"],"abstract_inverted_index":{"This":[0],"paper":[1],"first":[2],"analyzes":[3],"the":[4,20,31,40,46,53,60,64,92,95,100,105,118,127,130],"one-dimensional":[5],"Gabor":[6,17,22,33,61],"function":[7,18],"and":[8,27,63,88,120],"expands":[9],"it":[10],"to":[11,38],"a":[12],"two-dimensional":[13,16,21,32],"one.":[14],"The":[15,70],"generates":[19],"wavelet":[23,34,62],"through":[24],"measure":[25],"stretching":[26],"rotation.":[28],"At":[29],"last,":[30],"transform":[35],"is":[36,68,75],"employed":[37],"extract":[39],"image":[41,54,73],"feature":[42],"information.":[43],"Based":[44],"on":[45,59,91,117],"back":[47],"propagation":[48],"(BP)":[49],"neural":[50,65],"network":[51,66],"model,":[52],"intelligent":[55],"test":[56],"model":[57,67],"based":[58,116],"built.":[69],"human":[71],"face":[72,96],"detection":[74,101],"adopted":[76],"as":[77],"an":[78],"example.":[79],"Results":[80],"suggest":[81],"that,":[82],"although":[83],"there":[84],"are":[85],"complex":[86],"textures":[87],"illumination":[89],"variations":[90],"images":[93],"of":[94,104,129],"database":[97],"named":[98],"AT&amp;T,":[99],"accuracy":[102],"rate":[103],"proposed":[106,131],"method":[107],"can":[108],"reach":[109],"above":[110],"0.93.":[111],"In":[112],"addition,":[113],"extensive":[114],"simulations":[115],"Yale":[119,122],"extended":[121],"B":[123],"datasets":[124],"further":[125],"verify":[126],"effectiveness":[128],"method.":[132]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
