{"id":"https://openalex.org/W4404074213","doi":"https://doi.org/10.3390/a17110506","title":"Enhanced Curvature-Based Fabric Defect Detection: A Experimental Study with Gabor Transform and Deep Learning","display_name":"Enhanced Curvature-Based Fabric Defect Detection: A Experimental Study with Gabor Transform and Deep Learning","publication_year":2024,"publication_date":"2024-11-05","ids":{"openalex":"https://openalex.org/W4404074213","doi":"https://doi.org/10.3390/a17110506"},"language":"en","primary_location":{"id":"doi:10.3390/a17110506","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a17110506","pdf_url":"https://www.mdpi.com/1999-4893/17/11/506/pdf?version=1730788352","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"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":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/17/11/506/pdf?version=1730788352","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111837965","display_name":"Meral Erdo\u011fan","orcid":"https://orcid.org/0009-0004-3898-5041"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Mehmet Erdogan","raw_affiliation_strings":["Mechatronics Engineering Department, Istanbul Technical University, Maslak Campus, Room 8109, 34467 Maslak, Istanbul, Turkey"],"raw_orcid":"https://orcid.org/0009-0004-3898-5041","affiliations":[{"raw_affiliation_string":"Mechatronics Engineering Department, Istanbul Technical University, Maslak Campus, Room 8109, 34467 Maslak, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087980495","display_name":"Mustafa Do\u011fan","orcid":"https://orcid.org/0000-0001-5215-8887"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mustafa Dogan","raw_affiliation_strings":["Control and Automation Engineering Department, Istanbul Technical University, Maslak Campus, 34467 Maslak, Istanbul, Turkey"],"raw_orcid":"https://orcid.org/0000-0001-5215-8887","affiliations":[{"raw_affiliation_string":"Control and Automation Engineering Department, Istanbul Technical University, Maslak Campus, 34467 Maslak, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111837965"],"corresponding_institution_ids":["https://openalex.org/I48912391"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.9466,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79147698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"17","issue":"11","first_page":"506","last_page":"506"},"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":1.0,"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":1.0,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9921000003814697,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9896000027656555,"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/curvature","display_name":"Curvature","score":0.6706771850585938},{"id":"https://openalex.org/keywords/gabor-transform","display_name":"Gabor transform","score":0.5763750076293945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5425984263420105},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4485819637775421},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4241708815097809},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41992461681365967},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.36203938722610474},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33144044876098633},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26102620363235474},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2524891495704651},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.12123310565948486}],"concepts":[{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.6706771850585938},{"id":"https://openalex.org/C173149727","wikidata":"https://www.wikidata.org/wiki/Q996397","display_name":"Gabor transform","level":4,"score":0.5763750076293945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5425984263420105},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4485819637775421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4241708815097809},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41992461681365967},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.36203938722610474},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33144044876098633},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26102620363235474},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2524891495704651},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.12123310565948486},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a17110506","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a17110506","pdf_url":"https://www.mdpi.com/1999-4893/17/11/506/pdf?version=1730788352","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"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":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8af07be406cc4dd7a86e002ab555b9f9","is_oa":true,"landing_page_url":"https://doaj.org/article/8af07be406cc4dd7a86e002ab555b9f9","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":"Algorithms, Vol 17, Iss 11, p 506 (2024)","raw_type":"article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/43165","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/43165","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.3390/a17110506","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a17110506","pdf_url":"https://www.mdpi.com/1999-4893/17/11/506/pdf?version=1730788352","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"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":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404074213.pdf","grobid_xml":"https://content.openalex.org/works/W4404074213.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W579357507","https://openalex.org/W1571699948","https://openalex.org/W2005219590","https://openalex.org/W2022735534","https://openalex.org/W2049694710","https://openalex.org/W2056798987","https://openalex.org/W2065429801","https://openalex.org/W2067173330","https://openalex.org/W2069106519","https://openalex.org/W2115718371","https://openalex.org/W2118350922","https://openalex.org/W2125148312","https://openalex.org/W2145023731","https://openalex.org/W2147752924","https://openalex.org/W2149933564","https://openalex.org/W2155071278","https://openalex.org/W2156689847","https://openalex.org/W2163605009","https://openalex.org/W2163775665","https://openalex.org/W2164290945","https://openalex.org/W2165698076","https://openalex.org/W2171181782","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2303633877","https://openalex.org/W2497738965","https://openalex.org/W2528999066","https://openalex.org/W2739148736","https://openalex.org/W2884013364","https://openalex.org/W2903199829","https://openalex.org/W2919115771","https://openalex.org/W2963026768","https://openalex.org/W2963083845","https://openalex.org/W2963446712","https://openalex.org/W3110933193","https://openalex.org/W3160860842","https://openalex.org/W3195969653","https://openalex.org/W3199091160","https://openalex.org/W3211193475","https://openalex.org/W4206239776","https://openalex.org/W4241903089","https://openalex.org/W6631190155","https://openalex.org/W6688533166"],"related_works":["https://openalex.org/W2384007269","https://openalex.org/W4375867731","https://openalex.org/W2368643887","https://openalex.org/W2057790287","https://openalex.org/W55883722","https://openalex.org/W2121088346","https://openalex.org/W2394379345","https://openalex.org/W2079726820","https://openalex.org/W2347848979","https://openalex.org/W2121565431"],"abstract_inverted_index":{"Quality":[0],"control":[1,108],"at":[2],"every":[3],"stage":[4],"of":[5,46,85,130,160,166],"production":[6],"in":[7,16,34,42,152],"the":[8,17,43,83,92,128,145,164,177,212,236],"textile":[9],"industry":[10],"is":[11,163,183],"essential":[12],"for":[13,106,179,200],"maintaining":[14],"competitiveness":[15],"global":[18,93],"market.":[19],"Manual":[20],"fabric":[21,47,53,69,86],"defect":[22,54,70,155,227],"inspections":[23],"are":[24],"often":[25],"characterized":[26],"by":[27],"low":[28,189],"precision":[29],"and":[30,65,76,96,193,206,216,242],"high":[31,173],"time":[32],"costs,":[33],"contrast":[35],"to":[36,89,187,246],"intelligent":[37],"anomaly":[38],"detection":[39],"systems":[40,109,121],"implemented":[41,205],"early":[44],"stages":[45],"production.":[48],"To":[49],"achieve":[50],"successful":[51],"automated":[52],"identification,":[55],"significant":[56,150],"challenges":[57],"must":[58],"be":[59,124],"addressed,":[60],"including":[61,214],"accurate":[62],"detection,":[63],"classification,":[64],"decision-making":[66],"processes.":[67],"Traditionally,":[68],"classification":[71,174],"has":[72],"relied":[73],"on":[74,100],"inefficient":[75],"labor-intensive":[77],"human":[78],"visual":[79],"inspection,":[80],"particularly":[81,184],"as":[82,119],"variety":[84],"defects":[87],"continues":[88],"increase.":[90],"Despite":[91],"chip":[94],"crisis":[95],"its":[97,188],"adverse":[98],"effects":[99],"supply":[101],"chains,":[102],"electronic":[103],"hardware":[104],"costs":[105],"quality":[107],"have":[110],"become":[111],"more":[112],"affordable.":[113],"This":[114,181],"presents":[115],"a":[116,139,167,222],"notable":[117],"advantage,":[118],"vision":[120],"can":[122],"now":[123],"easily":[125],"developed":[126],"with":[127,144,232],"use":[129],"high-resolution,":[131],"advanced":[132],"cameras.":[133],"In":[134],"this":[135,161],"study,":[136],"we":[137,204],"propose":[138],"discrete":[140],"curvature":[141,169],"algorithm,":[142],"integrated":[143],"Gabor":[146,215],"transform,":[147],"which":[148],"demonstrates":[149],"success":[151,241],"near":[153],"real-time":[154,201],"classification.":[156],"The":[157],"primary":[158],"contribution":[159],"work":[162],"development":[165],"modified":[168],"algorithm":[170,238],"that":[171,235],"achieves":[172],"performance":[175,244],"without":[176],"need":[178],"training.":[180],"method":[182],"efficient":[185],"due":[186],"data":[190],"storage":[191],"requirements":[192],"minimal":[194],"processing":[195],"time,":[196],"making":[197],"it":[198],"ideal":[199],"applications.":[202],"Furthermore,":[203],"evaluated":[207],"several":[208],"other":[209],"methods":[210],"from":[211],"literature,":[213],"Convolutional":[217],"Neural":[218],"Networks":[219],"(CNNs),":[220],"within":[221],"unified":[223],"coding":[224],"framework.":[225],"Each":[226],"type":[228],"was":[229],"analyzed":[230],"individually,":[231],"results":[233],"indicating":[234],"proposed":[237],"exhibits":[239],"comparable":[240],"robust":[243],"relative":[245],"deep":[247],"learning-based":[248],"approaches.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}