{"id":"https://openalex.org/W4307335329","doi":"https://doi.org/10.1145/3558819.3565085","title":"Wood defect recognition based on wavelet transform data fusion edge detection algorithm","display_name":"Wood defect recognition based on wavelet transform data fusion edge detection algorithm","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4307335329","doi":"https://doi.org/10.1145/3558819.3565085"},"language":"en","primary_location":{"id":"doi:10.1145/3558819.3565085","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3558819.3565085","pdf_url":null,"source":{"id":"https://openalex.org/S4363608855","display_name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","raw_type":"proceedings-article"},"type":"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/A5071959369","display_name":"Yuanmin Huang","orcid":"https://orcid.org/0000-0002-4843-5201"},"institutions":[{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanmin Huang","raw_affiliation_strings":["Intelligent manufacturing Institute, Foshan Polytechnic, China"],"affiliations":[{"raw_affiliation_string":"Intelligent manufacturing Institute, Foshan Polytechnic, China","institution_ids":["https://openalex.org/I4210142539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100722868","display_name":"Ming Yi","orcid":"https://orcid.org/0000-0001-7534-3049"},"institutions":[{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Yi","raw_affiliation_strings":["Intelligent manufacturing Institute, Foshan Polytechnic, China"],"affiliations":[{"raw_affiliation_string":"Intelligent manufacturing Institute, Foshan Polytechnic, China","institution_ids":["https://openalex.org/I4210142539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034838401","display_name":"Weihang Yang","orcid":"https://orcid.org/0000-0001-9431-1827"},"institutions":[{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihang Yang","raw_affiliation_strings":["Intelligent manufacturing Institute, Foshan Polytechnic, China"],"affiliations":[{"raw_affiliation_string":"Intelligent manufacturing Institute, Foshan Polytechnic, China","institution_ids":["https://openalex.org/I4210142539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100546264","display_name":"Man Yang","orcid":"https://orcid.org/0009-0005-5383-1400"},"institutions":[{"id":"https://openalex.org/I4210142539","display_name":"Guangdong Institute of Intelligent Manufacturing","ror":"https://ror.org/049jpjz09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Man Yang","raw_affiliation_strings":["Intelligent manufacturing Institute, Foshan Polytechnic, China"],"affiliations":[{"raw_affiliation_string":"Intelligent manufacturing Institute, Foshan Polytechnic, China","institution_ids":["https://openalex.org/I4210142539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071959369"],"corresponding_institution_ids":["https://openalex.org/I4210142539"],"apc_list":null,"apc_paid":null,"fwci":0.3468,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44694089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"236","last_page":"239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9682000279426575,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9682000279426575,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.902999997138977,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6881043910980225},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6549449563026428},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6215956211090088},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6093511581420898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5948342084884644},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5685257911682129},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5538790225982666},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5521909594535828},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.524548351764679},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46059927344322205},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.45048144459724426},{"id":"https://openalex.org/keywords/multi-source","display_name":"Multi-source","score":0.4429619312286377},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.44227445125579834},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.43066126108169556},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4150528013706207},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.4140554666519165},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.38900578022003174},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3391694128513336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13601312041282654}],"concepts":[{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6881043910980225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6549449563026428},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6215956211090088},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6093511581420898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5948342084884644},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5685257911682129},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5538790225982666},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5521909594535828},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.524548351764679},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46059927344322205},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.45048144459724426},{"id":"https://openalex.org/C2780665216","wikidata":"https://www.wikidata.org/wiki/Q6934498","display_name":"Multi-source","level":2,"score":0.4429619312286377},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.44227445125579834},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43066126108169556},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4150528013706207},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.4140554666519165},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.38900578022003174},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3391694128513336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13601312041282654},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3558819.3565085","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3558819.3565085","pdf_url":null,"source":{"id":"https://openalex.org/S4363608855","display_name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2094619061","https://openalex.org/W2122313064","https://openalex.org/W2996807960","https://openalex.org/W3085910645","https://openalex.org/W3160569349","https://openalex.org/W3208261418","https://openalex.org/W4234249712","https://openalex.org/W4255236297"],"related_works":["https://openalex.org/W3088112989","https://openalex.org/W2392793229","https://openalex.org/W2048373740","https://openalex.org/W2103761320","https://openalex.org/W2348824220","https://openalex.org/W3028432408","https://openalex.org/W2136123817","https://openalex.org/W2608696184","https://openalex.org/W2166350757","https://openalex.org/W2769041751"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,20,26,77],"wood":[4,90,104],"defect":[5,92,106],"edge":[6,96],"detection":[7,97],"algorithm":[8,98],"based":[9],"on":[10,44],"wavelet":[11],"transform":[12],"data":[13],"fusion":[14,17,62],"is":[15,19,64,72],"proposed.Data":[16],"technology":[18,23,63],"comprehensive":[21],"processing":[22],"to":[24,86,99],"obtain":[25],"more":[27,65,73],"objective":[28],"and":[29,53,67,75,108],"essential":[30],"understanding":[31],"of":[32,47,79,103],"the":[33,40,45,58,81,87,95,101],"same":[34],"thing":[35],"or":[36],"target":[37],"by":[38,61],"using":[39],"original":[41,55],"multi-source":[42,49,56],"information":[43,59],"basis":[46],"collecting":[48],"information.Compared":[50],"with":[51],"single":[52],"isolated":[54],"information,":[57],"processed":[60],"concise":[66],"less":[68],"redundant,":[69],"so":[70],"it":[71],"effective":[74],"useful.Through":[76],"lot":[78],"experiments,":[80],"results":[82],"show":[83],"that":[84],"according":[85],"texture":[88],"featuresof":[89],"surface":[91,105],"image,":[93],"use":[94],"solve":[100],"problems":[102],"segmentation":[107],"recognition.":[109]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}