{"id":"https://openalex.org/W4414841862","doi":"https://doi.org/10.48550/arxiv.2502.16502","title":"Subpixel Edge Localization Based on Converted Intensity Summation under Stable Edge Region","display_name":"Subpixel Edge Localization Based on Converted Intensity Summation under Stable Edge Region","publication_year":2025,"publication_date":"2025-02-23","ids":{"openalex":"https://openalex.org/W4414841862","doi":"https://doi.org/10.48550/arxiv.2502.16502"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2502.16502","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.16502","pdf_url":"https://arxiv.org/pdf/2502.16502","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2502.16502","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101246531","display_name":"Yingyuan Yang","orcid":"https://orcid.org/0009-0000-3937-207X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yang, Yingyuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084558732","display_name":"Guoyuan Liang","orcid":"https://orcid.org/0000-0002-5207-6969"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Guoyuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063246522","display_name":"Xianwen Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xianwen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100726406","display_name":"Kaiming Wang","orcid":"https://orcid.org/0000-0003-0652-2347"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Kaiming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428564","display_name":"Can Wang","orcid":"https://orcid.org/0000-0002-0914-3994"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Can","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100352764","display_name":"Xinyu Wu","orcid":"https://orcid.org/0000-0001-6130-7821"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Xinyu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101246531"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T14158","display_name":"Optical Systems and Laser Technology","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/subpixel-rendering","display_name":"Subpixel rendering","score":0.9876999855041504},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6410999894142151},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6299999952316284},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5637999773025513},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5375000238418579},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.5074999928474426},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.39259999990463257}],"concepts":[{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.9876999855041504},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6410999894142151},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6299999952316284},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5637999773025513},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5375000238418579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5253999829292297},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.524399995803833},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5115000009536743},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.5074999928474426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47699999809265137},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.39259999990463257},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3598000109195709},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.3215000033378601},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2815000116825104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C30108884","wikidata":"https://www.wikidata.org/wiki/Q1242761","display_name":"Edge enhancement","level":4,"score":0.2732999920845032},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.26330000162124634}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2502.16502","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.16502","pdf_url":"https://arxiv.org/pdf/2502.16502","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"text"},{"id":"doi:10.48550/arxiv.2502.16502","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2502.16502","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2502.16502","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.16502","pdf_url":"https://arxiv.org/pdf/2502.16502","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"To":[0,88],"satisfy":[1],"the":[2,28,53,56,68,90,98,120,123,130,133,140,146,170,174,224,238,247],"rigorous":[3],"requirements":[4],"of":[5,18,100,125,142,148,177,182],"precise":[6],"edge":[7,80,102,126,159,196],"detection":[8],"in":[9,67,129,139,244],"critical":[10],"high-accuracy":[11],"measurements,":[12],"this":[13],"article":[14],"proposes":[15],"a":[16,37,42,63,77,104],"series":[17],"efficient":[19,175],"approaches":[20],"for":[21,71],"localizing":[22],"subpixel":[23,72,79],"edge.":[24],"In":[25,156],"contrast":[26],"to":[27,113,144,168],"fitting":[29],"based":[30,109,162],"methods,":[31],"which":[32,193],"consider":[33],"pixel":[34,57],"intensity":[35,54,69],"as":[36,62,198,200,205],"sample":[38],"value":[39],"derived":[40],"from":[41],"specific":[43],"model.":[44],"We":[45],"take":[46],"an":[47,158],"innovative":[48],"perspective":[49],"by":[50,233],"assuming":[51],"that":[52,122,217],"at":[55],"level":[58],"can":[59,219],"be":[60],"interpreted":[61],"local":[64,115,131],"integral":[65],"mapping":[66],"model":[70],"localization.":[73],"Consequently,":[74],"we":[75],"propose":[76],"straightforward":[78],"localization":[81,99],"method":[82,161],"called":[83],"Converted":[84],"Intensity":[85],"Summation":[86],"(CIS).":[87],"address":[89],"limited":[91],"robustness":[92],"associated":[93],"with":[94],"focusing":[95],"solely":[96],"on":[97,163,186],"individual":[101],"points,":[103],"Stable":[105],"Edge":[106],"Region":[107],"(SER)":[108],"algorithm":[110,134,240],"is":[111,165,215],"presented":[112],"alleviate":[114],"interference":[116],"near":[117],"edges.":[118],"Given":[119],"observation":[121],"consistency":[124],"statistics":[127],"exists":[128],"region,":[132],"seeks":[135],"correlated":[136],"stable":[137],"regions":[138],"vicinity":[141],"edges":[143,172],"facilitate":[145],"acquisition":[147],"robust":[149],"parameters":[150],"and":[151,189,211,250],"achieve":[152,220],"higher":[153,221],"precision":[154],"positioning.":[155],"addition,":[157],"complement":[160],"extension-adjustment":[164],"also":[166],"introduced":[167],"rectify":[169],"irregular":[171],"through":[173],"migration":[176],"SERs.":[178],"A":[179],"large":[180],"number":[181],"experiments":[183],"are":[184],"conducted":[185],"both":[187],"synthetic":[188],"real":[190,202],"image":[191],"datasets":[192],"cover":[194],"common":[195],"patterns":[197],"well":[199],"various":[201],"scenarios":[203],"such":[204],"industrial":[206],"PCB":[207],"images,":[208],"remote":[209],"sensing":[210],"medical":[212],"images.":[213],"It":[214],"verified":[216],"CIS":[218],"accuracy":[222],"than":[223],"state-of-the-art":[225],"method,":[226],"while":[227],"requiring":[228],"less":[229],"execution":[230],"time.":[231],"Moreover,":[232],"integrating":[234],"SER":[235],"into":[236],"CIS,":[237],"proposed":[239],"demonstrates":[241],"excellent":[242],"performance":[243],"further":[245],"improving":[246],"anti-interference":[248],"capability":[249],"positioning":[251],"accuracy.":[252]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}