{"id":"https://openalex.org/W7130425992","doi":"https://doi.org/10.1109/tii.2026.3663442","title":"Physics Knowledge-Inspired Scattering Neural Representation for Micro-Adhesive-Spot Segmentation Under Complex Backgrounds","display_name":"Physics Knowledge-Inspired Scattering Neural Representation for Micro-Adhesive-Spot Segmentation Under Complex Backgrounds","publication_year":2026,"publication_date":"2026-02-18","ids":{"openalex":"https://openalex.org/W7130425992","doi":"https://doi.org/10.1109/tii.2026.3663442"},"language":null,"primary_location":{"id":"doi:10.1109/tii.2026.3663442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2026.3663442","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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":"https://openalex.org/A5121767669","display_name":"Wenlong Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenlong Hu","raw_affiliation_strings":["School of Automation, State Key Laboratory of Precision Manufacturing for Extreme Service Performance, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0002-6604-2484","affiliations":[{"raw_affiliation_string":"School of Automation, State Key Laboratory of Precision Manufacturing for Extreme Service Performance, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126358951","display_name":"Fan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["School of Automation, State Key Laboratory of Precision Manufacturing for Extreme Service Performance, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-4944-9442","affiliations":[{"raw_affiliation_string":"School of Automation, State Key Laboratory of Precision Manufacturing for Extreme Service Performance, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075689961","display_name":"Yuan Zhao","orcid":"https://orcid.org/0009-0000-3051-7316"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqian Zhao","raw_affiliation_strings":["School of Automation, State Key Laboratory of Precision Manufacturing for Extreme Service Performance, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, State Key Laboratory of Precision Manufacturing for Extreme Service Performance, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112331718","display_name":"Ji\u2019an Duan Ji\u2019an Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji'an Duan","raw_affiliation_strings":["School of Automation, State Key Laboratory of Precision Manufacturing for Extreme Service Performance, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, State Key Laboratory of Precision Manufacturing for Extreme Service Performance, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":18.9737,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.97777778,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"22","issue":"6","first_page":"5287","last_page":"5297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11996","display_name":"Random lasers and scattering media","score":0.2623000144958496,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11996","display_name":"Random lasers and scattering media","score":0.2623000144958496,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.23350000381469727,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.11420000344514847,"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/segmentation","display_name":"Segmentation","score":0.7138000130653381},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.5612999796867371},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5507000088691711},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.54339998960495},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.49219998717308044},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4860999882221222},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.4747999906539917},{"id":"https://openalex.org/keywords/rayleigh-scattering","display_name":"Rayleigh scattering","score":0.462799996137619},{"id":"https://openalex.org/keywords/light-scattering","display_name":"Light scattering","score":0.4251999855041504}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7138000130653381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6682000160217285},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5662000179290771},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.5612999796867371},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5507000088691711},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5437999963760376},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.54339998960495},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.49219998717308044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4860999882221222},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.4747999906539917},{"id":"https://openalex.org/C46244369","wikidata":"https://www.wikidata.org/wiki/Q193709","display_name":"Rayleigh scattering","level":2,"score":0.462799996137619},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.4255000054836273},{"id":"https://openalex.org/C120456961","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Light scattering","level":3,"score":0.4251999855041504},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.420199990272522},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.39469999074935913},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3856000006198883},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3573000133037567},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.33570000529289246},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.3296000063419342},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.32409998774528503},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.31459999084472656},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.3061999976634979},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.272599995136261},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C132771110","wikidata":"https://www.wikidata.org/wiki/Q506922","display_name":"Adaptive optics","level":2,"score":0.26489999890327454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2026.3663442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2026.3663442","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5166447162628174,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Segmentation":[0],"of":[1,153],"micro-adhesive":[2],"spots":[3],"in":[4,127],"high-power":[5],"laser":[6],"packaging":[7],"is":[8],"challenged":[9],"by":[10,27,39,100],"morphological":[11],"variability,":[12],"complex":[13],"backgrounds,":[14],"and":[15,58,91,108,116,130,145],"blurred":[16],"edges,":[17],"causing":[18],"traditional":[19],"models":[20],"to":[21,66],"fail":[22],"from":[23],"\u201cfeature":[24],"dilution.\u201d":[25],"Inspired":[26],"physical":[28,137],"optics":[29],"knowledge,":[30],"we":[31],"propose":[32],"a":[33,46,92],"scattering":[34,41,52,56],"neural":[35],"representation":[36],"framework":[37],"guided":[38],"Rayleigh":[40],"theory.":[42],"We":[43],"first":[44],"pretrain":[45],"denoising":[47],"diffusion":[48],"model,":[49],"using":[50],"light":[51],"properties,":[53],"including":[54,82],"wavelength,":[55],"angle,":[57],"particle":[59],"number":[60],"density":[61],"as":[62],"an":[63,83,87,143],"inductive":[64],"bias":[65],"generate":[67],"high":[68],"signal-to-noise":[69],"ratio":[70],"target":[71,98],"features":[72,99],"while":[73],"suppressing":[74],"background":[75,131],"clutter.":[76],"Subsequently,":[77],"three":[78],"synergistic":[79],"attention":[80,89],"modules,":[81],"adaptive":[84],"dual-attention":[85],"module,":[86,90,96],"edge":[88],"small":[93,155],"object":[94,156],"enhancement":[95],"refine":[97],"dynamically":[101],"expanding":[102],"the":[103,150],"receptive":[104],"field,":[105],"sharpening":[106],"boundaries,":[107],"enhancing":[109],"microtarget":[110],"responses.":[111],"Extensive":[112],"experiments":[113],"on":[114],"proprietary":[115],"public":[117],"datasets":[118],"demonstrate":[119],"that":[120],"our":[121],"model":[122],"significantly":[123],"outperforms":[124],"state-of-the-art":[125],"methods":[126],"precise":[128],"segmentation":[129],"interference":[132],"suppression.":[133],"This":[134],"work":[135],"translates":[136],"insights":[138],"into":[139],"architectural":[140],"advantages,":[141],"establishing":[142],"efficient":[144],"interpretable":[146],"paradigm":[147],"for":[148],"addressing":[149],"persistent":[151],"challenge":[152],"industrial":[154],"segmentation.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-19T00:00:00"}