{"id":"https://openalex.org/W3033213164","doi":"https://doi.org/10.3233/jifs-179858","title":"Analysis and improvement of image segmentation algorithm based on fuzzy edge compensation","display_name":"Analysis and improvement of image segmentation algorithm based on fuzzy edge compensation","publication_year":2020,"publication_date":"2020-05-28","ids":{"openalex":"https://openalex.org/W3033213164","doi":"https://doi.org/10.3233/jifs-179858","mag":"3033213164"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-179858","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179858","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5100734914","display_name":"Tianqi Wang","orcid":"https://orcid.org/0000-0002-6573-4123"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianqi Wang","raw_affiliation_strings":["School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040805219","display_name":"Changjie Zhou","orcid":"https://orcid.org/0000-0003-3589-326X"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changjie Zhou","raw_affiliation_strings":["School of Computer Science and Technology, Guizhou University, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648586","display_name":"Hui Yu","orcid":"https://orcid.org/0000-0002-2278-0605"},"institutions":[{"id":"https://openalex.org/I4210100221","display_name":"China Waterborne Transport Research Institute","ror":"https://ror.org/013kb0k13","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210100221"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Yu","raw_affiliation_strings":["Research Center of Maritime Security Technology, China Waterborne Transport Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Research Center of Maritime Security Technology, China Waterborne Transport Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210100221"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081933850","display_name":"Yi Sun","orcid":"https://orcid.org/0000-0002-1427-8682"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Sun","raw_affiliation_strings":["School of Software Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458706","display_name":"Xuemei Xie","orcid":"https://orcid.org/0000-0001-7857-0845"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemei Xie","raw_affiliation_strings":["School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036989858","display_name":"Chuanchang Liu","orcid":"https://orcid.org/0000-0002-0418-9889"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanchang Liu","raw_affiliation_strings":["Institute of Network Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Network Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100648586"],"corresponding_institution_ids":["https://openalex.org/I4210100221"],"apc_list":null,"apc_paid":null,"fwci":0.0977,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.37673926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"38","issue":"6","first_page":"7893","last_page":"7902"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9983999729156494,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9979000091552734,"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/magnification","display_name":"Magnification","score":0.6809550523757935},{"id":"https://openalex.org/keywords/image-scaling","display_name":"Image scaling","score":0.632271945476532},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6252081394195557},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6062664985656738},{"id":"https://openalex.org/keywords/stairstep-interpolation","display_name":"Stairstep interpolation","score":0.5759658217430115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5534359812736511},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5391682982444763},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4551217555999756},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.45012569427490234},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44546404480934143},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4447922706604004},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4435681700706482},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4346405863761902},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.42442643642425537},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4233262538909912},{"id":"https://openalex.org/keywords/range-segmentation","display_name":"Range segmentation","score":0.4178355634212494},{"id":"https://openalex.org/keywords/morphological-gradient","display_name":"Morphological gradient","score":0.41341933608055115},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33079075813293457},{"id":"https://openalex.org/keywords/linear-interpolation","display_name":"Linear interpolation","score":0.3092060089111328},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.23315498232841492},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.05349871516227722}],"concepts":[{"id":"https://openalex.org/C4144372","wikidata":"https://www.wikidata.org/wiki/Q675287","display_name":"Magnification","level":2,"score":0.6809550523757935},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.632271945476532},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6252081394195557},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6062664985656738},{"id":"https://openalex.org/C119768884","wikidata":"https://www.wikidata.org/wiki/Q7597108","display_name":"Stairstep interpolation","level":4,"score":0.5759658217430115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5534359812736511},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5391682982444763},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4551217555999756},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.45012569427490234},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44546404480934143},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4447922706604004},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4435681700706482},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4346405863761902},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.42442643642425537},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4233262538909912},{"id":"https://openalex.org/C67561299","wikidata":"https://www.wikidata.org/wiki/Q7292710","display_name":"Range segmentation","level":5,"score":0.4178355634212494},{"id":"https://openalex.org/C96133863","wikidata":"https://www.wikidata.org/wiki/Q6913458","display_name":"Morphological gradient","level":5,"score":0.41341933608055115},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33079075813293457},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.3092060089111328},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.23315498232841492},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.05349871516227722},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-179858","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179858","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1967284158","https://openalex.org/W1982273692","https://openalex.org/W1983549679","https://openalex.org/W1998138355","https://openalex.org/W2011686017","https://openalex.org/W2029836979","https://openalex.org/W2040508185","https://openalex.org/W2063694967","https://openalex.org/W2094507611","https://openalex.org/W2101677434","https://openalex.org/W2106211646","https://openalex.org/W2109453625","https://openalex.org/W2110031805","https://openalex.org/W2113524221","https://openalex.org/W2114025816","https://openalex.org/W2115548755","https://openalex.org/W2133665775","https://openalex.org/W2139332758","https://openalex.org/W2139727666","https://openalex.org/W2142619375","https://openalex.org/W2143384667","https://openalex.org/W2147581311","https://openalex.org/W2149760002","https://openalex.org/W2156930033","https://openalex.org/W2157494358","https://openalex.org/W2163398148","https://openalex.org/W2163480287","https://openalex.org/W2167706775","https://openalex.org/W2172128189","https://openalex.org/W2355648167","https://openalex.org/W2511611370","https://openalex.org/W2611444002","https://openalex.org/W2769333087","https://openalex.org/W2801376868","https://openalex.org/W2981410613","https://openalex.org/W6684638669"],"related_works":["https://openalex.org/W2040348454","https://openalex.org/W224926540","https://openalex.org/W2382426030","https://openalex.org/W2038516231","https://openalex.org/W2355602298","https://openalex.org/W2018318601","https://openalex.org/W2622733463","https://openalex.org/W4303468906","https://openalex.org/W2061619473","https://openalex.org/W2364924374"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,31,82,103,141],"solve":[3],"the":[4,32,38,44,48,51,56,76,84,94,105,111,116,121,126,130,133,136],"problems":[5],"of":[6,115,129,135],"mosaics":[7],"and":[8,15,35,46,55,92,97,113,138],"fuzzy":[9],"details":[10,99,134],"in":[11],"traditional":[12],"image":[13,19,106,142],"interpolation":[14,67,72,86],"magnification":[16,20,107,127],"algorithms,":[17],"an":[18],"algorithm":[21,73,122],"based":[22,74],"on":[23,75],"compensation":[24,78],"item":[25],"edge":[26,87],"segmentation":[27],"is":[28,41,80,139],"proposed.":[29],"According":[30],"boundary":[33,39,53,57,95],"degree":[34],"pixel":[36],"distance,":[37],"line":[40,54,58],"extracted":[42],"from":[43],"image,":[45,131,137],"then":[47],"plane":[49],"area,":[50],"adjacent":[52],"are":[59],"respectively":[60],"enlarged":[61],"by":[62],"using":[63],"their":[64],"own":[65],"adaptive":[66],"amplification":[68],"algorithm.":[69],"The":[70],"linear":[71],"one-dimensional":[77],"term":[79],"adopted":[81],"obtain":[83],"new":[85],"points":[88],"between":[89],"each":[90],"point,":[91],"retain":[93,132],"information":[96],"texture":[98],"information,":[100],"so":[101],"as":[102],"enhance":[104],"It":[108],"can":[109,123],"improve":[110,125],"resolution":[112],"definition":[114],"image.":[117],"Experiments":[118],"show":[119],"that":[120],"effectively":[124],"effect":[128],"conducive":[140],"processing.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}