{"id":"https://openalex.org/W2519906008","doi":"https://doi.org/10.1109/cscwd.2016.7566017","title":"Image edge extraction based on fuzzy theory and Sobel operator","display_name":"Image edge extraction based on fuzzy theory and Sobel operator","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2519906008","doi":"https://doi.org/10.1109/cscwd.2016.7566017","mag":"2519906008"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd.2016.7566017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd.2016.7566017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100768696","display_name":"Yulan Liu","orcid":"https://orcid.org/0000-0001-7253-3365"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulan Liu","raw_affiliation_strings":["School of Information Engineering, Nanchang University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066707378","display_name":"Yi Long","orcid":"https://orcid.org/0000-0003-4083-0589"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Long","raw_affiliation_strings":["School of Information Engineering, Nanchang University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141649914"],"apc_list":null,"apc_paid":null,"fwci":0.8073,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64965131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"373","last_page":"378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9354000091552734,"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"}},"topics":[{"id":"https://openalex.org/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9354000091552734,"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":0.9283000230789185,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.902400016784668,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sobel-operator","display_name":"Sobel operator","score":0.9096388816833496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6095250844955444},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6072081327438354},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.6001304388046265},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5569397211074829},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5118826627731323},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5098113417625427},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4842364490032196},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4441381096839905},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4394325315952301},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.42972031235694885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.323171466588974},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.32093751430511475}],"concepts":[{"id":"https://openalex.org/C30703548","wikidata":"https://www.wikidata.org/wiki/Q1757673","display_name":"Sobel operator","level":5,"score":0.9096388816833496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6095250844955444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6072081327438354},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.6001304388046265},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5569397211074829},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5118826627731323},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5098113417625427},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4842364490032196},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4441381096839905},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4394325315952301},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.42972031235694885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.323171466588974},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.32093751430511475},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd.2016.7566017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd.2016.7566017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W570833478","https://openalex.org/W2157599409","https://openalex.org/W2349826544","https://openalex.org/W4255749134","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2533389229","https://openalex.org/W2379894902","https://openalex.org/W2367298911","https://openalex.org/W2354100707","https://openalex.org/W2757873631","https://openalex.org/W1927170819","https://openalex.org/W2393995975","https://openalex.org/W2164309059","https://openalex.org/W3163485789","https://openalex.org/W2969037885"],"abstract_inverted_index":{"Image":[0],"edge":[1,17,31,95,105,116,129],"detection":[2],"is":[3,19,33,39,47,78,88,97,106],"a":[4],"hot":[5],"topic":[6],"in":[7,68],"the":[8,22,29,42,50,55,72,76,84,103],"study":[9,23],"of":[10,24,49,75,113],"image":[11,26,30,104],"processing":[12],"and":[13,35,45,63,71,124,127],"computer":[14],"vision.":[15],"Accurate":[16],"information":[18,32,96],"helpful":[20],"to":[21,53],"high-level":[25],"features.":[27],"However,":[28],"vague":[34],"uncertain.":[36],"Fuzzy":[37],"theory":[38,62,119],"expressed":[40],"with":[41,57,117],"imprecise":[43],"knowledge,":[44],"it":[46],"one":[48],"effective":[51],"methods":[52],"solve":[54],"problem":[56],"fuzzy":[58,61,91,100,118],"phenomenon.":[59],"The":[60,111],"Sobel":[64,109],"operator":[65],"are":[66],"combined":[67],"this":[69],"research,":[70],"main":[73],"idea":[74],"method":[77,112],"summarized":[79],"as":[80],"three":[81],"steps,":[82],"firstly,":[83],"image's":[85,115],"gray":[86],"matrix":[87],"converted":[89],"into":[90],"feature":[92],"matrix.":[93],"Secondly,":[94],"extruded":[98],"by":[99,108],"enhancement.":[101],"Finally,":[102],"detected":[107],"operator.":[110],"extracting":[114],"has":[120],"low":[121],"computational":[122],"complexity":[123],"simple":[125],"procedure":[126],"precise":[128],"information.":[130]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}