{"id":"https://openalex.org/W2941998680","doi":"https://doi.org/10.1109/iscid.2018.10184","title":"An Improved Segmentation Algorithm Based on Superpixel for Typical Industrial Applications","display_name":"An Improved Segmentation Algorithm Based on Superpixel for Typical Industrial Applications","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2941998680","doi":"https://doi.org/10.1109/iscid.2018.10184","mag":"2941998680"},"language":"en","primary_location":{"id":"doi:10.1109/iscid.2018.10184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscid.2018.10184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Symposium on Computational Intelligence and Design (ISCID)","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/A5028202518","display_name":"Jiafu Zhuang","orcid":"https://orcid.org/0000-0001-6072-2679"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210151023","display_name":"Quanzhou Institute of Equipment Manufacturing Haixi Institute","ror":"https://ror.org/05ev3vr27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151023"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiafu Zhuang","raw_affiliation_strings":["Quanzhou Institute of Equipment Manufacturing, Chinese Academy of Sciences (CAS), Quanzhou, China"],"affiliations":[{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing, Chinese Academy of Sciences (CAS), Quanzhou, China","institution_ids":["https://openalex.org/I4210151023","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042544148","display_name":"Linjie Yang","orcid":"https://orcid.org/0000-0003-2766-1143"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210151023","display_name":"Quanzhou Institute of Equipment Manufacturing Haixi Institute","ror":"https://ror.org/05ev3vr27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151023"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linjie Yang","raw_affiliation_strings":["Quanzhou Institute of Equipment Manufacturing, Chinese Academy of Sciences (CAS), Quanzhou, China"],"affiliations":[{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing, Chinese Academy of Sciences (CAS), Quanzhou, China","institution_ids":["https://openalex.org/I4210151023","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100635867","display_name":"Jun Li","orcid":"https://orcid.org/0000-0002-1336-2241"},"institutions":[{"id":"https://openalex.org/I4210151023","display_name":"Quanzhou Institute of Equipment Manufacturing Haixi Institute","ror":"https://ror.org/05ev3vr27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151023"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["Quanzhou Institute of Equipment Manufacturing, Chinese Academy of Sciences (CAS), Quanzhou, China"],"affiliations":[{"raw_affiliation_string":"Quanzhou Institute of Equipment Manufacturing, Chinese Academy of Sciences (CAS), Quanzhou, China","institution_ids":["https://openalex.org/I4210151023","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028202518"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210151023"],"apc_list":null,"apc_paid":null,"fwci":0.2089,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58489636,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"26","issue":null,"first_page":"366","last_page":"370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9991999864578247,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9991999864578247,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9968000054359436,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7980563640594482},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7623940110206604},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.7132725119590759},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6858037710189819},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6133195161819458},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5792555809020996},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5786125659942627},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.5339632630348206},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5149343609809875},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4542425870895386},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.41317513585090637},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4108966290950775},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39458775520324707},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37720364332199097},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.35403627157211304}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7980563640594482},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7623940110206604},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.7132725119590759},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6858037710189819},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6133195161819458},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5792555809020996},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5786125659942627},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.5339632630348206},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5149343609809875},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4542425870895386},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.41317513585090637},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4108966290950775},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39458775520324707},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37720364332199097},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.35403627157211304}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscid.2018.10184","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscid.2018.10184","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Symposium on Computational Intelligence and Design (ISCID)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1635970165","https://openalex.org/W1906297069","https://openalex.org/W1972544340","https://openalex.org/W1993465480","https://openalex.org/W2024212834","https://openalex.org/W2026820891","https://openalex.org/W2084613169","https://openalex.org/W2109923042","https://openalex.org/W2118246710","https://openalex.org/W2125188192","https://openalex.org/W2161790807","https://openalex.org/W2381751549","https://openalex.org/W2408359267","https://openalex.org/W2545985378","https://openalex.org/W2963150697","https://openalex.org/W6636773440","https://openalex.org/W6710152792"],"related_works":["https://openalex.org/W2739273756","https://openalex.org/W2387510934","https://openalex.org/W4312567938","https://openalex.org/W4283806690","https://openalex.org/W4281937456","https://openalex.org/W2545065926","https://openalex.org/W2356242818","https://openalex.org/W2348584852","https://openalex.org/W2545393398","https://openalex.org/W3169126738"],"abstract_inverted_index":{"Recently,":[0],"computer":[1],"vision":[2],"is":[3,69,170],"widely":[4],"used":[5,103,145],"in":[6,26,62],"the":[7,30,35,42,45,60,80,87,130,136,149,154,168,173,177,183],"field":[8],"of":[9,29,34,44,82,176],"automatic":[10,72],"production":[11],"system,":[12],"such":[13,24],"as":[14,146],"capsule":[15],"detection,":[16],"ceramic":[17],"tile":[18],"extraction,":[19],"sole":[20],"location,":[21],"etc.":[22],"However,":[23],"changes":[25],"lighting,":[27,64],"texture":[28,65,165],"background":[31,93],"and":[32,66,84,92,98,108,164,167],"colour":[33,163],"material":[36,67],"will":[37],"have":[38],"negative":[39],"impacts":[40],"on":[41],"performance":[43],"system.":[46],"In":[47],"this":[48],"paper,":[49],"a":[50],"robust":[51],"object":[52],"segmentation":[53,188],"algorithm":[54,185],"being":[55],"able":[56],"to":[57,78,85,104,120,134,148,160],"accurately":[58],"extract":[59],"target":[61,169],"different":[63],"conditions":[68],"presented.":[70],"First,":[71],"image":[73,96,106,127,133,138],"enhancement":[74],"techniques":[75,101],"are":[76,102,114,143,157],"applied":[77],"reduce":[79],"effects":[81],"illumination":[83],"enhance":[86,105],"global":[88],"differences":[89],"between":[90],"foreground":[91],"objects.":[94],"Second,":[95],"sharpening":[97],"edge-preserving":[99],"smoothing":[100],"edges":[107],"blur":[109],"images,":[110],"respectively.":[111],"Smoothed":[112],"images":[113],"then":[115,128,144],"convoluted":[116],"by":[117,172],"gradient":[118,123,132],"template":[119],"generate":[121],"smooth":[122],"map.":[124],"The":[125],"sharpened":[126,137],"subtracts":[129],"smoothed":[131],"produce":[135],"with":[139],"edge":[140],"mask,":[141],"which":[142],"input":[147],"super":[150,155],"pixel":[151],"algorithm.":[152],"Third,":[153],"pixels":[156],"clustered":[158],"according":[159],"their":[161],"spatial,":[162],"information,":[166],"extracted":[171],"region":[174],"properties":[175],"clusters.":[178],"Experimental":[179],"results":[180],"show":[181],"that":[182],"proposed":[184],"has":[186],"better":[187],"accuracy":[189],"or":[190],"faster":[191],"implementation":[192],"time":[193],"than":[194],"Competitive":[195],"algorithms.":[196]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}