{"id":"https://openalex.org/W3118620913","doi":"https://doi.org/10.1109/access.2021.3049513","title":"Robust Active Contour Model Using Patch-Based Signed Pressure Force and Optimized Fractional-Order Edge","display_name":"Robust Active Contour Model Using Patch-Based Signed Pressure Force and Optimized Fractional-Order Edge","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3118620913","doi":"https://doi.org/10.1109/access.2021.3049513","mag":"3118620913"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3049513","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3049513","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09316288.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09316288.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070750450","display_name":"Hongli Lv","orcid":"https://orcid.org/0000-0003-3346-5878"},"institutions":[{"id":"https://openalex.org/I1315279114","display_name":"Zhejiang Wanli University","ror":"https://ror.org/00rjdhd62","country_code":"CN","type":"education","lineage":["https://openalex.org/I1315279114"]},{"id":"https://openalex.org/I89381930","display_name":"Shangqiu Normal University","ror":"https://ror.org/008m8sh03","country_code":"CN","type":"education","lineage":["https://openalex.org/I89381930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongli Lv","raw_affiliation_strings":["College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo, China","School of Information Technology, Shangqiu Normal University, Shangqiu, China"],"raw_orcid":"https://orcid.org/0000-0003-3346-5878","affiliations":[{"raw_affiliation_string":"College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo, China","institution_ids":["https://openalex.org/I1315279114"]},{"raw_affiliation_string":"School of Information Technology, Shangqiu Normal University, Shangqiu, China","institution_ids":["https://openalex.org/I89381930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048020563","display_name":"Fangjian Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I89381930","display_name":"Shangqiu Normal University","ror":"https://ror.org/008m8sh03","country_code":"CN","type":"education","lineage":["https://openalex.org/I89381930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangjian Zhang","raw_affiliation_strings":["School of Information Technology, Shangqiu Normal University, Shangqiu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, Shangqiu Normal University, Shangqiu, China","institution_ids":["https://openalex.org/I89381930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075023462","display_name":"Renfang Wang","orcid":"https://orcid.org/0000-0002-8239-8248"},"institutions":[{"id":"https://openalex.org/I1315279114","display_name":"Zhejiang Wanli University","ror":"https://ror.org/00rjdhd62","country_code":"CN","type":"education","lineage":["https://openalex.org/I1315279114"]},{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renfang Wang","raw_affiliation_strings":["College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo, China","College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo, China","institution_ids":["https://openalex.org/I1315279114"]},{"raw_affiliation_string":"College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0364,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.77713394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"9","issue":null,"first_page":"8771","last_page":"8785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation 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/T10052","display_name":"Medical Image Segmentation 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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9980000257492065,"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":0.9951000213623047,"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/active-contour-model","display_name":"Active contour model","score":0.8277716040611267},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7482448816299438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5553843379020691},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5243059396743774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5096437931060791},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.48574167490005493},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4723074436187744},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4716222286224365},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4679400324821472},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4674195945262909},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4660049378871918},{"id":"https://openalex.org/keywords/contour-line","display_name":"Contour line","score":0.4592902362346649},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.4518451690673828},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43944311141967773},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4356994032859802},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38236507773399353},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3345934748649597},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2775973081588745},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22203293442726135},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08245030045509338}],"concepts":[{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.8277716040611267},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7482448816299438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5553843379020691},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5243059396743774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5096437931060791},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.48574167490005493},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4723074436187744},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4716222286224365},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4679400324821472},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4674195945262909},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4660049378871918},{"id":"https://openalex.org/C86069527","wikidata":"https://www.wikidata.org/wiki/Q6653802","display_name":"Contour line","level":2,"score":0.4592902362346649},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.4518451690673828},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43944311141967773},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4356994032859802},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38236507773399353},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3345934748649597},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2775973081588745},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22203293442726135},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08245030045509338},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3049513","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3049513","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09316288.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d380f35b2a6e4ba99dc0aa631dd9a664","is_oa":true,"landing_page_url":"https://doaj.org/article/d380f35b2a6e4ba99dc0aa631dd9a664","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 8771-8785 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3049513","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3049513","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09316288.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1523003418","display_name":null,"funder_award_id":"LGF19F020008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2011146839","display_name":null,"funder_award_id":"2018YFB1004904","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4785747131","display_name":null,"funder_award_id":"LGF21F020023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6961459089","display_name":null,"funder_award_id":"LY20F020005","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3118620913.pdf","grobid_xml":"https://content.openalex.org/works/W3118620913.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1424614812","https://openalex.org/W1979393293","https://openalex.org/W1980097377","https://openalex.org/W1982935657","https://openalex.org/W1989135034","https://openalex.org/W2009767800","https://openalex.org/W2065350495","https://openalex.org/W2083790562","https://openalex.org/W2090925555","https://openalex.org/W2112891016","https://openalex.org/W2114487471","https://openalex.org/W2116040950","https://openalex.org/W2118386984","https://openalex.org/W2134820502","https://openalex.org/W2135810471","https://openalex.org/W2139478903","https://openalex.org/W2144133758","https://openalex.org/W2155343350","https://openalex.org/W2167354555","https://openalex.org/W2216748439","https://openalex.org/W2229331245","https://openalex.org/W2556784265","https://openalex.org/W2564011781","https://openalex.org/W2586834759","https://openalex.org/W2604512261","https://openalex.org/W2608836634","https://openalex.org/W2741033153","https://openalex.org/W2752289205","https://openalex.org/W2791329661","https://openalex.org/W2801045955","https://openalex.org/W2898044604","https://openalex.org/W2904933464","https://openalex.org/W2906293839","https://openalex.org/W2921453135","https://openalex.org/W2952800390","https://openalex.org/W2964170281","https://openalex.org/W2974668417","https://openalex.org/W2985137356","https://openalex.org/W2991372685","https://openalex.org/W2994881150","https://openalex.org/W2998338548","https://openalex.org/W3010684815","https://openalex.org/W3038044614","https://openalex.org/W3082365061","https://openalex.org/W3089297791","https://openalex.org/W3102206498","https://openalex.org/W3211330693","https://openalex.org/W6730176618"],"related_works":["https://openalex.org/W2387003628","https://openalex.org/W123102278","https://openalex.org/W2081609930","https://openalex.org/W3208095355","https://openalex.org/W2365596436","https://openalex.org/W2177370417","https://openalex.org/W163453029","https://openalex.org/W2384347880","https://openalex.org/W2375013257","https://openalex.org/W2160299300"],"abstract_inverted_index":{"Active":[0],"contour":[1,161],"models":[2],"(ACMs)":[3],"are":[4],"the":[5,30,34,91,95,98,108,111,117,121,126,129,134,149,159],"most":[6],"widely":[7],"used":[8],"method":[9],"for":[10],"image":[11,136],"segmentation.":[12],"However,":[13],"global":[14],"fitting":[15,24,51,67],"ACMs":[16,25],"cannot":[17],"effectively":[18],"segment":[19],"inhomogeneous":[20],"images":[21],"and":[22,29,56,87,116,158],"local":[23,50,66,142],"suffer":[26],"from":[27],"noise":[28,115,157],"initial":[31,118,160],"position":[32,119],"of":[33,48,94,110,120,128],"contour.":[35,99,122],"To":[36,123],"overcome":[37],"these":[38],"shortcomings,":[39],"we":[40],"propose":[41],"a":[42,49],"novel":[43],"ACM":[44,113],"that":[45,148],"consists":[46],"mainly":[47],"term,":[52],"an":[53,57],"edge-based":[54,76],"term":[55,68,77],"external":[58,102],"force":[59,103],"term.":[60],"The":[61,75,100],"Jensen-Shannon":[62],"divergence":[63],"(JSD)":[64],"based":[65,83],"is":[69,78,104,137,152],"implemented":[70],"to":[71,89,106,114,132,156],"address":[72],"intensity":[73,168],"inhomogeneity.":[74,169],"formulated":[79],"on":[80],"Caputo-Fabrizio":[81],"(CF)":[82],"fractional-order":[84],"Gaussian":[85],"derivatives":[86],"applied":[88],"compute":[90],"weighted":[92],"area":[93],"region":[96],"inside":[97],"patch-based":[101],"designed":[105],"improve":[107,125],"robustness":[109,127],"developed":[112,150],"further":[124],"proposed":[130],"model":[131,151],"noise,":[133],"input":[135],"first":[138],"replaced":[139],"with":[140,167],"its":[141],"robust":[143,155],"statistics.":[144],"Experimental":[145],"results":[146],"demonstrate":[147],"not":[153],"only":[154],"but":[162],"also":[163],"effective":[164],"in":[165],"dealing":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
