{"id":"https://openalex.org/W3094826350","doi":"https://doi.org/10.1109/access.2020.3035804","title":"A Shape Prior-Based Active Contour Model for Automatic Images Segmentation","display_name":"A Shape Prior-Based Active Contour Model for Automatic Images Segmentation","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3094826350","doi":"https://doi.org/10.1109/access.2020.3035804","mag":"3094826350"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3035804","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3035804","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09247951.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/ielx7/6287639/8948470/09247951.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069711159","display_name":"Xiaoliang Jiang","orcid":"https://orcid.org/0000-0003-2695-8586"},"institutions":[{"id":"https://openalex.org/I4210123686","display_name":"Quzhou University","ror":"https://ror.org/024nfx323","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210123686"]},{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoliang Jiang","raw_affiliation_strings":["College of Mechanical Engineering, Quzhou University, Quzhou, China","College of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","Key Laboratory of Air-Driven Equipment Technology of Zhejiang Province, Quzhou University, Quzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2695-8586","affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Quzhou University, Quzhou, China","institution_ids":["https://openalex.org/I4210123686"]},{"raw_affiliation_string":"College of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Key Laboratory of Air-Driven Equipment Technology of Zhejiang Province, Quzhou University, Quzhou, China","institution_ids":["https://openalex.org/I4210123686"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101890442","display_name":"Jinyun Jiang","orcid":"https://orcid.org/0000-0002-4348-7133"},"institutions":[{"id":"https://openalex.org/I4210123686","display_name":"Quzhou University","ror":"https://ror.org/024nfx323","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210123686"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyun Jiang","raw_affiliation_strings":["College of Mechanical Engineering, Quzhou University, Quzhou, China","Key Laboratory of Air-Driven Equipment Technology of Zhejiang Province, Quzhou University, Quzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4348-7133","affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Quzhou University, Quzhou, China","institution_ids":["https://openalex.org/I4210123686"]},{"raw_affiliation_string":"Key Laboratory of Air-Driven Equipment Technology of Zhejiang Province, Quzhou University, Quzhou, China","institution_ids":["https://openalex.org/I4210123686"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.0979,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41856694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"200541","last_page":"200550"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9961000084877014,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9955999851226807,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7671236991882324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7478168606758118},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.7427377700805664},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7172931432723999},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6881614923477173},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6768764853477478},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5859789848327637},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5599563121795654},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5255699753761292},{"id":"https://openalex.org/keywords/energy-functional","display_name":"Energy functional","score":0.5120187401771545},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5099669694900513},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4666701853275299},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4587346613407135},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.4483373463153839},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.4283791184425354},{"id":"https://openalex.org/keywords/curve-fitting","display_name":"Curve fitting","score":0.42085108160972595},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4055250883102417},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18652790784835815},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.0889604389667511}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7671236991882324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7478168606758118},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.7427377700805664},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7172931432723999},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6881614923477173},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6768764853477478},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5859789848327637},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5599563121795654},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5255699753761292},{"id":"https://openalex.org/C191640071","wikidata":"https://www.wikidata.org/wiki/Q5377056","display_name":"Energy functional","level":2,"score":0.5120187401771545},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5099669694900513},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4666701853275299},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4587346613407135},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.4483373463153839},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.4283791184425354},{"id":"https://openalex.org/C184389593","wikidata":"https://www.wikidata.org/wiki/Q603159","display_name":"Curve fitting","level":2,"score":0.42085108160972595},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4055250883102417},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18652790784835815},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0889604389667511},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3035804","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3035804","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09247951.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:e293c2f6c51c4439a497fb18af12b3a3","is_oa":true,"landing_page_url":"https://doaj.org/article/e293c2f6c51c4439a497fb18af12b3a3","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 8, Pp 200541-200550 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3035804","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3035804","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09247951.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":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8700000047683716}],"awards":[{"id":"https://openalex.org/G1730674688","display_name":null,"funder_award_id":"51876103","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G1754143682","display_name":null,"funder_award_id":"LQ18F010007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2640219465","display_name":null,"funder_award_id":"LQ17C160001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G5629424145","display_name":null,"funder_award_id":"51275272","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G6441518596","display_name":null,"funder_award_id":"2018E10011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7324929172","display_name":null,"funder_award_id":"51806122","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7433178998","display_name":null,"funder_award_id":"LQ18F010007","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G7500103400","display_name":null,"funder_award_id":"LQ17C160001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8300003569","display_name":null,"funder_award_id":"51876103","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8730099298","display_name":null,"funder_award_id":"51275272","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3094826350.pdf","grobid_xml":"https://content.openalex.org/works/W3094826350.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1989135034","https://openalex.org/W2066864663","https://openalex.org/W2069533927","https://openalex.org/W2104095591","https://openalex.org/W2114487471","https://openalex.org/W2115664739","https://openalex.org/W2116040950","https://openalex.org/W2139478903","https://openalex.org/W2167354555","https://openalex.org/W2254582863","https://openalex.org/W2564011781","https://openalex.org/W2586435489","https://openalex.org/W2610036018","https://openalex.org/W2733998660","https://openalex.org/W2742053572","https://openalex.org/W2789609908","https://openalex.org/W2791359027","https://openalex.org/W2792816538","https://openalex.org/W2793705791","https://openalex.org/W2796194130","https://openalex.org/W2797508642","https://openalex.org/W2799933346","https://openalex.org/W2801730755","https://openalex.org/W2889206953","https://openalex.org/W2889953866","https://openalex.org/W2902132099","https://openalex.org/W2907398861","https://openalex.org/W2926007602","https://openalex.org/W2943875522","https://openalex.org/W2946980991","https://openalex.org/W2951503827","https://openalex.org/W2981028555","https://openalex.org/W2982258507","https://openalex.org/W3010684815","https://openalex.org/W3034167473","https://openalex.org/W3082365061"],"related_works":["https://openalex.org/W2063312490","https://openalex.org/W2368150111","https://openalex.org/W2125739208","https://openalex.org/W1861675581","https://openalex.org/W2052479847","https://openalex.org/W2135353231","https://openalex.org/W2163721823","https://openalex.org/W2391867215","https://openalex.org/W2095049733","https://openalex.org/W2404178732"],"abstract_inverted_index":{"Due":[0],"to":[1,61,66,75,84,105],"the":[2,13,63,71,89,96,107,111,135],"variable":[3],"shapes":[4],"of":[5,15,91,100,110],"objects,":[6],"high":[7],"noise":[8],"intensity":[9],"and":[10,38,45,116,122,132],"complex":[11,92],"environments,":[12],"field":[14],"image":[16,30],"segmentation":[17,31],"still":[18],"has":[19],"great":[20],"challenges.":[21],"To":[22],"address":[23],"these":[24],"issues,":[25],"we":[26],"present":[27],"a":[28,77],"new":[29],"strategy":[32],"based":[33],"on":[34,119],"active":[35],"contour":[36,72],"model":[37],"shape":[39,79],"priori":[40],"information,":[41],"which":[42],"can":[43,82],"accurately":[44],"efficiently":[46],"segment":[47],"various":[48,120],"images.":[49],"The":[50,114],"data":[51],"fitting":[52],"term,":[53],"inspired":[54],"by":[55],"Chan-Vese":[56],"(C-V)":[57],"model,":[58],"is":[59,73,103,129],"used":[60],"guide":[62],"curve":[64],"evolving":[65],"desired":[67],"target":[68],"boundary.":[69],"Meanwhile,":[70],"utilized":[74],"reconstruct":[76],"prior":[78],"so":[80],"that":[81,126],"help":[83],"deal":[85],"with":[86],"images":[87,124],"in":[88],"presence":[90],"target.":[93],"After":[94],"that,":[95],"length":[97],"regularity":[98],"term":[99],"energy":[101],"functional":[102],"incorporated":[104],"ensure":[106],"stable":[108],"calculation":[109],"evolution":[112],"curve.":[113],"quantitative":[115],"qualitative":[117],"experiments":[118],"real":[121],"medical":[123],"indicate":[125],"our":[127],"method":[128],"more":[130],"efficient":[131],"accurate":[133],"than":[134],"existing":[136],"unified":[137],"models.":[138]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
