{"id":"https://openalex.org/W3099443158","doi":"https://doi.org/10.1109/crc51253.2020.9253453","title":"An Improved LBP Method for Feature Extraction and Classification of Metal Defects Based on Gabor Filter and 2DPCA","display_name":"An Improved LBP Method for Feature Extraction and Classification of Metal Defects Based on Gabor Filter and 2DPCA","publication_year":2020,"publication_date":"2020-10-16","ids":{"openalex":"https://openalex.org/W3099443158","doi":"https://doi.org/10.1109/crc51253.2020.9253453","mag":"3099443158"},"language":"en","primary_location":{"id":"doi:10.1109/crc51253.2020.9253453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/crc51253.2020.9253453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Control, Robotics and Cybernetics (CRC)","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/A5078700329","display_name":"Xu Zhu","orcid":"https://orcid.org/0000-0003-4276-7691"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Zhu","raw_affiliation_strings":["Wuhan Institute of Technology School of Computer Science & Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan Institute of Technology School of Computer Science & Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100628510","display_name":"Haihui Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haihui Wang","raw_affiliation_strings":["Wuhan Institute of Technology School of Computer Science & Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan Institute of Technology School of Computer Science & Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078700329"],"corresponding_institution_ids":["https://openalex.org/I91125648"],"apc_list":null,"apc_paid":null,"fwci":0.3566,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69333376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"98","last_page":"102"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9721999764442444,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8010420799255371},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7942663431167603},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7139374613761902},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6319202184677124},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.6148712635040283},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5951738953590393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.561039388179779},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.53764408826828},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.481762170791626},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.44735702872276306},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.44691428542137146},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.41875261068344116},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2385936677455902}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8010420799255371},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7942663431167603},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7139374613761902},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6319202184677124},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.6148712635040283},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5951738953590393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.561039388179779},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.53764408826828},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.481762170791626},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44735702872276306},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.44691428542137146},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.41875261068344116},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2385936677455902}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/crc51253.2020.9253453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/crc51253.2020.9253453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Control, Robotics and Cybernetics (CRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1967537313","https://openalex.org/W1980171335","https://openalex.org/W1987263271","https://openalex.org/W1991589289","https://openalex.org/W2137441863","https://openalex.org/W2548938674","https://openalex.org/W2749372762","https://openalex.org/W2766108561","https://openalex.org/W2896847999","https://openalex.org/W2909411486","https://openalex.org/W2912250162"],"related_works":["https://openalex.org/W3176621072","https://openalex.org/W2107628111","https://openalex.org/W2394004323","https://openalex.org/W2398764543","https://openalex.org/W2027335291","https://openalex.org/W4210328553","https://openalex.org/W2995475466","https://openalex.org/W2356785732","https://openalex.org/W2390884475","https://openalex.org/W2607673196"],"abstract_inverted_index":{"Metal":[0],"is":[1,26,99,124,128,146,160,174,186,203],"widely":[2],"used":[3,147,161,175,187],"in":[4,14],"all":[5],"aspects":[6],"of":[7,17,35,47,87,101,121,155,167,180],"industrial":[8],"production":[9],"and":[10,22,33,150,172,208],"daily":[11],"life.":[12],"However,":[13],"the":[15,38,53,78,85,91,102,108,119,140,152,156,164,168,178,181,189,193],"process":[16],"metal":[18,39,61,92,194],"production,":[19],"preservation,":[20],"transportation":[21],"so":[23,55],"on,":[24],"it":[25,127],"inevitable":[27],"to":[28,30,43,51,58,83,107,148,162,176,191],"lead":[29],"different":[31],"types":[32],"shapes":[34],"defects":[36],"on":[37],"surface.":[40],"In":[41,90],"order":[42],"detect":[44],"defects,":[45,54],"first":[46],"all,":[48],"we":[49,56,68],"need":[50,57],"classify":[52,192],"extract":[59,70,163],"sufficient":[60],"samples":[62],"for":[63,131],"feature":[64,134],"extraction,":[65],"from":[66],"which":[67,105],"can":[69],"effective":[71],"attributes":[72],"or":[73],"information":[74,154],"about":[75],"defects.":[76,196],"Then":[77],"extracted":[79],"features":[80],"are":[81],"selected":[82],"reduce":[84,177],"error":[86],"defect":[88,94,97,122,170],"classification.":[89],"surface":[93,195],"detection":[95],"system,":[96],"recognition":[98],"one":[100],"key":[103],"steps,":[104],"belongs":[106],"multi":[109],"classification":[110],"problem.":[111],"LBP":[112,159,207],"has":[113],"a":[114],"good":[115],"description":[116],"ability":[117],"when":[118],"dimension":[120,179],"image":[123],"low,":[125],"but":[126],"not":[129],"suitable":[130],"high-dimensional":[132],"complex":[133],"extraction.":[135],"Therefore,":[136],"this":[137,201],"paper":[138],"extracts":[139],"improved":[141],"method:":[142],"firstly,":[143],"Gabor":[144],"filter":[145],"denoise":[149],"enhance":[151],"edge":[153],"defect,":[157],"then":[158,184],"histogram":[165],"vector":[166],"amount":[169],"image,":[171],"2DPCA":[173],"initial":[182],"data,":[183],"SVM":[185],"as":[188],"classifier":[190],"Experimental":[197],"results":[198],"show":[199],"that":[200],"method":[202],"more":[204],"accurate":[205],"than":[206],"SVM.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}