{"id":"https://openalex.org/W3164189249","doi":"https://doi.org/10.1109/tim.2021.3083888","title":"Multiscale Adaptive Edge Detector for Images Based on a Novel Standard Deviation Map","display_name":"Multiscale Adaptive Edge Detector for Images Based on a Novel Standard Deviation Map","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3164189249","doi":"https://doi.org/10.1109/tim.2021.3083888","mag":"3164189249"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3083888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3083888","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5074943287","display_name":"Yunhao Cui","orcid":"https://orcid.org/0000-0002-9855-5359"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunhao Cui","raw_affiliation_strings":["School of Mechanical Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-9855-5359","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003105240","display_name":"Yi An","orcid":"https://orcid.org/0000-0002-2667-122X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi An","raw_affiliation_strings":["School of Control Science and Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-2667-122X","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100726958","display_name":"Wei Sun","orcid":"https://orcid.org/0000-0002-8801-6060"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Sun","raw_affiliation_strings":["School of Mechanical Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-8801-6060","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600900","display_name":"Huosheng Hu","orcid":"https://orcid.org/0000-0001-5797-1412"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Huosheng Hu","raw_affiliation_strings":["School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5797-1412","affiliations":[{"raw_affiliation_string":"School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K","institution_ids":["https://openalex.org/I110002522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071611991","display_name":"Xueguan Song","orcid":"https://orcid.org/0000-0002-8235-5870"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueguan Song","raw_affiliation_strings":["School of Mechanical Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-8235-5870","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074943287"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":1.8447,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.87372554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9993000030517578,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9993000030517578,"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":0.9966999888420105,"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/edge-detection","display_name":"Edge detection","score":0.7374407649040222},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.6745594143867493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6725203394889832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6578227281570435},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6349952220916748},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6326038241386414},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.620603621006012},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5667834877967834},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5601764917373657},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.5426419973373413},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5321661233901978},{"id":"https://openalex.org/keywords/morphological-gradient","display_name":"Morphological gradient","score":0.5255019664764404},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46686792373657227},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4534863829612732},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.4398965537548065},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.4298834502696991},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2924656271934509},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2755752205848694},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2105390727519989}],"concepts":[{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.7374407649040222},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.6745594143867493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6725203394889832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6578227281570435},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6349952220916748},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6326038241386414},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.620603621006012},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5667834877967834},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5601764917373657},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.5426419973373413},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5321661233901978},{"id":"https://openalex.org/C96133863","wikidata":"https://www.wikidata.org/wiki/Q6913458","display_name":"Morphological gradient","level":5,"score":0.5255019664764404},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46686792373657227},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4534863829612732},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.4398965537548065},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.4298834502696991},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2924656271934509},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2755752205848694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2105390727519989},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2021.3083888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3083888","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3997431671","display_name":null,"funder_award_id":"61673083","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5618747472","display_name":null,"funder_award_id":"20191101014","funder_id":"https://openalex.org/F4320327913","funder_display_name":"ShanXi Science and Technology Department"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327913","display_name":"ShanXi Science and Technology Department","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W264023076","https://openalex.org/W1493163589","https://openalex.org/W1968812372","https://openalex.org/W1969466741","https://openalex.org/W1995821491","https://openalex.org/W2000789130","https://openalex.org/W2009728137","https://openalex.org/W2039970331","https://openalex.org/W2056011345","https://openalex.org/W2058247977","https://openalex.org/W2067354979","https://openalex.org/W2099244020","https://openalex.org/W2103114469","https://openalex.org/W2104095591","https://openalex.org/W2107333657","https://openalex.org/W2110158442","https://openalex.org/W2141277076","https://openalex.org/W2141358266","https://openalex.org/W2145023731","https://openalex.org/W2150134853","https://openalex.org/W2153394113","https://openalex.org/W2157343861","https://openalex.org/W2158479283","https://openalex.org/W2158642611","https://openalex.org/W2164507445","https://openalex.org/W2165324514","https://openalex.org/W2295796808","https://openalex.org/W2301674608","https://openalex.org/W2332769336","https://openalex.org/W2530186022","https://openalex.org/W2607333215","https://openalex.org/W2728074186","https://openalex.org/W2799004851","https://openalex.org/W2802276015","https://openalex.org/W2886849145","https://openalex.org/W2925325108","https://openalex.org/W2949492628","https://openalex.org/W2963120456","https://openalex.org/W2963307106","https://openalex.org/W3004104873","https://openalex.org/W3087797277","https://openalex.org/W3090767379","https://openalex.org/W6769342281","https://openalex.org/W6782868179"],"related_works":["https://openalex.org/W2545065926","https://openalex.org/W2387510934","https://openalex.org/W2383665989","https://openalex.org/W3110410354","https://openalex.org/W2394248373","https://openalex.org/W2060672349","https://openalex.org/W2373164917","https://openalex.org/W1973847242","https://openalex.org/W2140201873","https://openalex.org/W2116510815"],"abstract_inverted_index":{"Edge":[0],"detection":[1,68,79],"plays":[2],"an":[3,106],"important":[4],"role":[5],"in":[6,31],"many":[7],"applications,":[8],"such":[9],"as":[10],"industrial":[11],"inspection":[12],"and":[13,26,122,134,152,180,209],"automatic":[14],"driving.":[15],"However,":[16],"it":[17],"is":[18,72,194,222],"difficult":[19],"to":[20,52,81,109,144,224],"effectively":[21],"distinguish":[22,146],"between":[23],"faint":[24],"edges":[25,34,148,161,174],"noise,":[27],"which":[28,221],"may":[29],"result":[30],"losing":[32],"effective":[33],"or":[35],"generating":[36],"spurious":[37],"edges.":[38],"This":[39],"will":[40],"reduce":[41],"the":[42,57,60,63,132,135,139,147,150,166,204,214],"accuracy":[43],"of":[44,59,66,77,138],"edge":[45,67,78,95,114,192,206,216],"detection.":[46,115,171],"In":[47,56],"addition,":[48],"some":[49],"parameters":[50],"need":[51],"be":[53,82],"set":[54],"artificially.":[55],"case":[58],"fixed":[61],"parameters,":[62],"overall":[64],"performance":[65],"on":[69,131,184],"different":[70,176],"images":[71,102],"not":[73],"high.":[74],"The":[75],"adaptivity":[76],"needs":[80],"improved":[83],"further.":[84],"To":[85],"solve":[86],"these":[87,156],"problems,":[88],"this":[89],"article":[90],"proposes":[91],"a":[92,119,123,185,190],"multiscale":[93,100,111],"adaptive":[94,198],"detector":[96,207,217],"for":[97,113],"images.":[98],"First,":[99],"pyramid":[101],"are":[103,128,162,178],"constructed":[104],"from":[105,149,165],"input":[107],"image":[108,167],"provide":[110],"features":[112],"At":[116],"each":[117],"scale,":[118],"gradient":[120,141],"map":[121,127,193],"novel":[124,186],"standard":[125],"deviation":[126],"calculated":[129],"based":[130,183],"gradients":[133],"statistical":[136],"characteristics":[137],"local":[140],"differences,":[142],"respectively,":[143],"accurately":[145],"background":[151],"noise.":[153],"By":[154],"using":[155,169,197],"two":[157],"feature":[158],"maps,":[159],"candidate":[160,173],"adaptively":[163],"identified":[164],"by":[168,196],"pixel-by-pixel":[170],"Then,":[172],"at":[175],"scales":[177],"thinned":[179],"fused":[181],"together":[182],"voting":[187],"mechanism.":[188],"Finally,":[189],"binarized":[191],"obtained":[195],"hysteresis":[199],"linking.":[200],"These":[201],"steps":[202],"make":[203],"proposed":[205,215],"accurate":[208],"adaptive.":[210],"Experiments":[211],"demonstrate":[212],"that":[213],"achieves":[218],"good":[219],"performance,":[220],"beneficial":[223],"measurement":[225],"applications.":[226]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":10}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}