{"id":"https://openalex.org/W7108210170","doi":"https://doi.org/10.1109/tase.2025.3639293","title":"SGTP-Net: Semantic Guidance and Texture Priors-Based Dual-Branch Segmentation Network for Surface Defect Detection","display_name":"SGTP-Net: Semantic Guidance and Texture Priors-Based Dual-Branch Segmentation Network for Surface Defect Detection","publication_year":2025,"publication_date":"2025-12-02","ids":{"openalex":"https://openalex.org/W7108210170","doi":"https://doi.org/10.1109/tase.2025.3639293"},"language":null,"primary_location":{"id":"doi:10.1109/tase.2025.3639293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3639293","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-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":null,"display_name":"Shijie Zhang","orcid":"https://orcid.org/0009-0009-0747-558X"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shijie Zhang","raw_affiliation_strings":["Key Laboratory of Nondestructive Testing, Ministry of Education, and the School of Instrument Science and Optoelectronic Engineering, Nanchang Hangkong University, Nanchang, China"],"raw_orcid":"https://orcid.org/0009-0009-0747-558X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Nondestructive Testing, Ministry of Education, and the School of Instrument Science and Optoelectronic Engineering, Nanchang Hangkong University, Nanchang, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Leqi Jiang","orcid":"https://orcid.org/0000-0003-0543-2278"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leqi Jiang","raw_affiliation_strings":["Jiangxi Provincial Key Laboratory of Image Processing and Pattern Recognition and the School of Information Engineering, Nanchang Hangkong University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0003-0543-2278","affiliations":[{"raw_affiliation_string":"Jiangxi Provincial Key Laboratory of Image Processing and Pattern Recognition and the School of Information Engineering, Nanchang Hangkong University, Nanchang, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liyue Ge","orcid":"https://orcid.org/0000-0003-1102-1053"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyue Ge","raw_affiliation_strings":["Jiangxi Provincial Key Laboratory of Image Processing and Pattern Recognition and the School of Information Engineering, Nanchang Hangkong University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0003-1102-1053","affiliations":[{"raw_affiliation_string":"Jiangxi Provincial Key Laboratory of Image Processing and Pattern Recognition and the School of Information Engineering, Nanchang Hangkong University, Nanchang, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chengzhong Wu","orcid":"https://orcid.org/0009-0008-6172-4922"},"institutions":[{"id":"https://openalex.org/I142066694","display_name":"ITRI International","ror":"https://ror.org/04wwsbd59","country_code":"US","type":"facility","lineage":["https://openalex.org/I142066694"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengzhong Wu","raw_affiliation_strings":["Jiangxi Communication Terminal Industrial Technology Research Institute Company Ltd., Ji’an, China"],"raw_orcid":"https://orcid.org/0009-0008-6172-4922","affiliations":[{"raw_affiliation_string":"Jiangxi Communication Terminal Industrial Technology Research Institute Company Ltd., Ji’an, China","institution_ids":["https://openalex.org/I142066694"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yaonan Wang","orcid":"https://orcid.org/0000-0002-0519-6458"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaonan Wang","raw_affiliation_strings":["College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-0519-6458","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ke Lu","orcid":"https://orcid.org/0000-0003-0176-3088"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Lu","raw_affiliation_strings":["University of the Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0176-3088","affiliations":[{"raw_affiliation_string":"University of the Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":null,"display_name":"Congxuan Zhang","orcid":"https://orcid.org/0000-0003-1356-1205"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congxuan Zhang","raw_affiliation_strings":["Key Laboratory of Nondestructive Testing, Ministry of Education, and the School of Instrument Science and Optoelectronic Engineering, Nanchang Hangkong University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0003-1356-1205","affiliations":[{"raw_affiliation_string":"Key Laboratory of Nondestructive Testing, Ministry of Education, and the School of Instrument Science and Optoelectronic Engineering, Nanchang Hangkong University, Nanchang, China","institution_ids":["https://openalex.org/I927504317"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I927504317"],"apc_list":null,"apc_paid":null,"fwci":1.0331,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8467219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"23","issue":null,"first_page":"417","last_page":"432"},"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":0.5412999987602234,"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":0.5412999987602234,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.2401999980211258,"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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.04769999906420708,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7484999895095825},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.669700026512146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6205999851226807},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5479999780654907},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5415999889373779},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5386999845504761},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.512499988079071},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.44290000200271606}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7990999817848206},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7484999895095825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7056000232696533},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.669700026512146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6205999851226807},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5516999959945679},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5479999780654907},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5415999889373779},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5386999845504761},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.512499988079071},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.44290000200271606},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.42910000681877136},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.3993000090122223},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.34150001406669617},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.32339999079704285},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.28360000252723694},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.27549999952316284},{"id":"https://openalex.org/C78289832","wikidata":"https://www.wikidata.org/wiki/Q7249473","display_name":"Projective texture mapping","level":5,"score":0.2741999924182892},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2646999955177307}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2025.3639293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3639293","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1917892044","display_name":null,"funder_award_id":"20243BBG71012","funder_id":"https://openalex.org/F4320327780","funder_display_name":"Key Research and Development Program of Jiangxi Province"},{"id":"https://openalex.org/G2544464024","display_name":null,"funder_award_id":"U25A20480","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3870006845","display_name":null,"funder_award_id":"U2441241","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5990791980","display_name":null,"funder_award_id":"20232BBE50006","funder_id":"https://openalex.org/F4320327780","funder_display_name":"Key Research and Development Program of Jiangxi Province"},{"id":"https://openalex.org/G6537077367","display_name":null,"funder_award_id":"62222206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7911606756","display_name":null,"funder_award_id":"62272209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327780","display_name":"Key Research and Development Program of Jiangxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2509669877","https://openalex.org/W2531409750","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2601564443","https://openalex.org/W2905065306","https://openalex.org/W2907868778","https://openalex.org/W2916798096","https://openalex.org/W2922005503","https://openalex.org/W2922509574","https://openalex.org/W2963420686","https://openalex.org/W3000247513","https://openalex.org/W3034552520","https://openalex.org/W3035459165","https://openalex.org/W3046756309","https://openalex.org/W3094502228","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3170841864","https://openalex.org/W3171297660","https://openalex.org/W3179632985","https://openalex.org/W3199863078","https://openalex.org/W4205446205","https://openalex.org/W4206047620","https://openalex.org/W4206572781","https://openalex.org/W4213436958","https://openalex.org/W4214774769","https://openalex.org/W4224931281","https://openalex.org/W4283525513","https://openalex.org/W4283756813","https://openalex.org/W4285138665","https://openalex.org/W4285188260","https://openalex.org/W4289752563","https://openalex.org/W4292347971","https://openalex.org/W4313270795","https://openalex.org/W4367663339","https://openalex.org/W4372347372","https://openalex.org/W4379929172","https://openalex.org/W4384080300","https://openalex.org/W4385245566","https://openalex.org/W4386038340","https://openalex.org/W4386076267","https://openalex.org/W4386226150","https://openalex.org/W4387250318","https://openalex.org/W4387449002","https://openalex.org/W4387587797","https://openalex.org/W4387717448","https://openalex.org/W4390873988","https://openalex.org/W4391092744","https://openalex.org/W4391454560","https://openalex.org/W4392251676","https://openalex.org/W4392745066","https://openalex.org/W4393185929","https://openalex.org/W4393404833","https://openalex.org/W4395056630","https://openalex.org/W4399118924","https://openalex.org/W4400647666","https://openalex.org/W4402568500","https://openalex.org/W4402568614","https://openalex.org/W4402727675","https://openalex.org/W4403758769","https://openalex.org/W4405632072","https://openalex.org/W4405632149","https://openalex.org/W4406123188","https://openalex.org/W4406367259","https://openalex.org/W4408805374","https://openalex.org/W4408913879","https://openalex.org/W4409367273"],"related_works":[],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"surface":[2,46,181,195,212],"defect":[3,47,182,196],"segmentation":[4,48,177,183,201],"approaches":[5],"have":[6],"shown":[7],"promising":[8],"performance":[9],"in":[10,21,137,194,209],"recent":[11],"years.":[12],"However,":[13],"segmenting":[14],"defects":[15,26],"with":[16,27,172],"complex":[17,94],"shapes,":[18],"large":[19],"variations":[20],"size,":[22],"and":[23,41,65,107,164,179,203,207],"weakly":[24],"textured":[25],"indistinct":[28],"characteristics":[29],"still":[30],"poses":[31],"significant":[32],"challenges.":[33],"In":[34],"this":[35,84],"article,":[36],"a":[37,59,99,169],"novel":[38],"semantic":[39,64,69,105,111,138,200],"guidance":[40,106],"texture":[42,66,77,108,120,126,131],"priors":[43,132],"based":[44,103],"dual-branch":[45,85],"network":[49,62,88],"(SGTP-Net)":[50],"is":[51,113],"proposed":[52],"for":[53,133,147],"those":[54],"issues.":[55],"Firstly,":[56],"we":[57,97,156],"construct":[58],"feature":[60,100,153],"extraction":[61],"combines":[63],"branches.":[67],"The":[68,110,140,185],"branch":[70,78],"establishes":[71],"global":[72],"contextual":[73],"relationships,":[74],"while":[75],"the":[76,87,117,124,161],"captures":[79],"local":[80],"features":[81,91],"of":[82,119,150],"defects,":[83],"ensured":[86],"to":[89,115,167],"extract":[90],"from":[92],"various":[93,211],"defects.":[95,213],"Secondly,":[96],"design":[98],"fusion":[101],"strategy":[102],"on":[104,160],"priors.":[109],"information":[112,127],"used":[114],"guides":[116],"output":[118,136],"branch.":[121,139],"After":[122],"that,":[123],"guided":[125],"provides":[128],"valuable":[129],"edge":[130],"each":[134,145],"layers":[135],"two":[141],"branches":[142],"mutually":[143],"guide":[144],"other":[146],"improving":[148],"ability":[149],"weak":[151],"textures":[152],"extraction.":[154],"Finally,":[155],"run":[157],"our":[158,190],"method":[159],"NEU-Seg,":[162],"MT-Defect":[163],"MSD":[165],"datasets":[166],"conduct":[168],"comprehensive":[170],"comparison":[171],"some":[173],"state-of-the-art":[174],"general":[175],"object":[176],"models":[178],"specialized":[180],"methods.":[184],"experimental":[186],"results":[187],"show":[188],"that":[189],"SGTP-Net":[191],"performs":[192],"well":[193],"detection,":[197],"offering":[198],"excellent":[199],"accuracy":[202],"exhibiting":[204],"good":[205],"stability":[206],"robustness":[208],"detecting":[210]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-13T08:25:38.343686","created_date":"2025-12-03T00:00:00"}