{"id":"https://openalex.org/W4388874257","doi":"https://doi.org/10.1145/3625156.3625185","title":"Application of Image Processing Based on Improved Canny Algorithm and Gurukin's Theorem","display_name":"Application of Image Processing Based on Improved Canny Algorithm and Gurukin's Theorem","publication_year":2023,"publication_date":"2023-08-11","ids":{"openalex":"https://openalex.org/W4388874257","doi":"https://doi.org/10.1145/3625156.3625185"},"language":"en","primary_location":{"id":"doi:10.1145/3625156.3625185","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3625156.3625185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Information Science and Systems","raw_type":"proceedings-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/A5084076815","display_name":"Yufei Xie","orcid":"https://orcid.org/0000-0002-1621-237X"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yufei Xie","raw_affiliation_strings":["School of Automation, Wuhan University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-1621-237X","affiliations":[{"raw_affiliation_string":"School of Automation, Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081441214","display_name":"Weiwei Yu","orcid":"https://orcid.org/0009-0005-3169-4302"},"institutions":[{"id":"https://openalex.org/I3018397418","display_name":"Yuhuangding Hospital","ror":"https://ror.org/05vawe413","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I3018397418"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Yu","raw_affiliation_strings":["Yantai Yuhuangding Hospital, China"],"raw_orcid":"https://orcid.org/0009-0005-3169-4302","affiliations":[{"raw_affiliation_string":"Yantai Yuhuangding Hospital, China","institution_ids":["https://openalex.org/I3018397418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048883716","display_name":"Shasha Song","orcid":"https://orcid.org/0000-0001-7906-3845"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shasha Song","raw_affiliation_strings":["College of Pharmacy, Shenzhen Technology University, China"],"raw_orcid":"https://orcid.org/0000-0001-7906-3845","affiliations":[{"raw_affiliation_string":"College of Pharmacy, Shenzhen Technology University, China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101558665","display_name":"Wenlin Wang","orcid":"https://orcid.org/0000-0003-0838-1920"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenlin Wang","raw_affiliation_strings":["Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, China"],"raw_orcid":"https://orcid.org/0000-0003-0838-1920","affiliations":[{"raw_affiliation_string":"Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ying Jia","orcid":"https://orcid.org/0009-0007-6229-8489"},"institutions":[{"id":"https://openalex.org/I156144747","display_name":"Harbin Medical University","ror":"https://ror.org/05jscf583","country_code":"CN","type":"education","lineage":["https://openalex.org/I156144747"]},{"id":"https://openalex.org/I4210087423","display_name":"Daqing City People's Hospital","ror":"https://ror.org/010z8j306","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210087423"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Jia","raw_affiliation_strings":["Daqing Longnan Hospital, China"],"raw_orcid":"https://orcid.org/0009-0007-6229-8489","affiliations":[{"raw_affiliation_string":"Daqing Longnan Hospital, China","institution_ids":["https://openalex.org/I156144747","https://openalex.org/I4210087423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086415805","display_name":"Xin Rui Gao","orcid":"https://orcid.org/0009-0006-1815-750X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Gao","raw_affiliation_strings":["College of Electronic and Information Engineering, Tongji University, China"],"raw_orcid":"https://orcid.org/0009-0006-1815-750X","affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Tongji University, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091195561","display_name":"Chongyang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongyang Wang","raw_affiliation_strings":["Shandong Institute of Advanced Technology, Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0003-3157-7411","affiliations":[{"raw_affiliation_string":"Shandong Institute of Advanced Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210142748","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5084076815"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15451788,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"193","last_page":"201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.8755000233650208,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.8755000233650208,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10862","display_name":"AI in cancer detection","score":0.7937999963760376,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.6720879077911377},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.641139805316925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6061139702796936},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5828905701637268},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5296485424041748},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4755922555923462},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46747490763664246},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43917107582092285},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4223026633262634},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40237653255462646},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3832780718803406},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3690512180328369},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.34378501772880554},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33781981468200684}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6720879077911377},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.641139805316925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6061139702796936},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5828905701637268},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5296485424041748},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4755922555923462},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46747490763664246},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43917107582092285},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4223026633262634},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40237653255462646},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3832780718803406},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3690512180328369},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.34378501772880554},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33781981468200684},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3625156.3625185","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3625156.3625185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Information Science and Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7599999904632568,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G7985253490","display_name":null,"funder_award_id":"81700056","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1205104456","https://openalex.org/W1976047850","https://openalex.org/W2000616733","https://openalex.org/W2007487688","https://openalex.org/W2059708781","https://openalex.org/W2110158442","https://openalex.org/W2165140157","https://openalex.org/W2208405745","https://openalex.org/W2476575773","https://openalex.org/W2586365924","https://openalex.org/W2779454416","https://openalex.org/W2781511202","https://openalex.org/W2802567890","https://openalex.org/W2806903089","https://openalex.org/W2884034690","https://openalex.org/W2891117262","https://openalex.org/W2895371212","https://openalex.org/W2960119796","https://openalex.org/W2963307106","https://openalex.org/W3092521023","https://openalex.org/W3108502203","https://openalex.org/W3114101724","https://openalex.org/W3120208439","https://openalex.org/W3130205032","https://openalex.org/W3134631491","https://openalex.org/W4245249572","https://openalex.org/W4253935777","https://openalex.org/W6743055404","https://openalex.org/W7037270093"],"related_works":["https://openalex.org/W3169126738","https://openalex.org/W1994279415","https://openalex.org/W2558559991","https://openalex.org/W1986338341","https://openalex.org/W2545065926","https://openalex.org/W2980082320","https://openalex.org/W3093839383","https://openalex.org/W2387510934","https://openalex.org/W2015446345","https://openalex.org/W2116510815"],"abstract_inverted_index":{"Placental":[0],"volume":[1,20,107],"is":[2,21,58,69,139,149,165],"an":[3,87],"important":[4],"indicator":[5],"for":[6,96,177],"evaluating":[7],"fetal":[8],"health,":[9],"and":[10,15,32,38,48,73,94,100,114,143],"automatic":[11,16],"identification":[12],"of":[13,18,22,34,45,78,102,123,146,154],"placenta":[14,106],"calculation":[17,116,125,148],"its":[19],"great":[23],"significance":[24],"in":[25,136],"clinical":[26,178],"practice.":[27],"Due":[28],"to":[29,71,141,168],"the":[30,53,115,121,132,144,155,162],"complexity":[31],"diversity":[33],"placental":[35,103],"images,":[36],"domestic":[37],"foreign":[39],"scholars":[40],"have":[41],"proposed":[42,135],"a":[43,75],"variety":[44],"image":[46],"recognition":[47,99],"segmentation":[49,101],"methods.":[50],"Among":[51],"them,":[52],"convolutional":[54],"neural":[55],"network":[56],"method":[57,63,156],"widely":[59],"used,":[60],"but":[61],"this":[62,82,84,137],"has":[64,157],"black":[65],"box":[66],"theory,":[67],"which":[68],"difficult":[70],"explain":[72],"requires":[74],"large":[76],"number":[77],"training":[79],"samples.":[80],"In":[81],"context,":[83],"paper":[85,138],"proposes":[86],"improved":[88],"Canny":[89],"algorithm":[90,133],"based":[91],"on":[92],"meshing":[93],"OTSU":[95],"edge":[97],"detection,":[98],"images.":[104],"The":[105,128,152],"was":[108],"calculated":[109],"by":[110,126],"using":[111],"Gurukin's":[112],"theorem,":[113],"results":[117,122,129],"were":[118],"compared":[119],"with":[120],"manual":[124,147],"doctors.":[127],"show":[130],"that":[131],"model":[134],"convenient":[140],"calculate,":[142],"error":[145],"within":[150],"10%.":[151],"feasibility":[153],"been":[158],"verified.":[159],"Especially":[160],"when":[161],"sample":[163],"size":[164],"not":[166],"enough":[167],"use":[169],"machine":[170],"learning":[171],"algorithms,":[172],"it":[173],"provides":[174],"strong":[175],"support":[176],"decision-making.":[179]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
