{"id":"https://openalex.org/W3021696404","doi":null,"title":"An energy functional model by gradient vector-driven active contour for local fitted image segmentation","display_name":"An energy functional model by gradient vector-driven active contour for local fitted image segmentation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W3021696404","mag":"3021696404"},"language":"en","primary_location":{"id":"pmh:oai:umpir.ump.edu.my:25829","doi":null,"is_oa":true,"landing_page_url":"http://umpir.ump.edu.my/id/eprint/25829/7/An%20energy%20functional%20model%20by%20gradient.pdf","pdf_url":"http://umpir.ump.edu.my/id/eprint/25829/7/An%20energy%20functional%20model%20by%20gradient.pdf","source":{"id":"https://openalex.org/S4377196561","display_name":"UMP Institutional Repository (Universiti Malaysia Pahang)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I102913810","host_organization_name":"Universiti Malaysia Pahang Al-Sultan Abdullah","host_organization_lineage":["https://openalex.org/I102913810"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://umpir.ump.edu.my/id/eprint/25829/7/An%20energy%20functional%20model%20by%20gradient.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100378728","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0002-6656-1105","observed_orcids":["https://orcid.org/0000-0002-6656-1105","https://orcid.org/0000-0003-4883-9262"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Wang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4883-9262","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107388446","display_name":"Tao Hai","orcid":"https://orcid.org/0000-0002-6156-1974","observed_orcids":["https://orcid.org/0000-0002-6156-1974"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Hai","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-6156-1974","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5068430010","display_name":"Muhammad Nomani Kabir","orcid":"https://orcid.org/0000-0003-2796-9324","observed_orcids":["https://orcid.org/0000-0003-2796-9324"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kabir M. Nomani","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22310883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":9.999999747378752e-05,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0,"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/snakes","display_name":"snakes","score":0.8259999752044678},{"id":"https://openalex.org/keywords/gradient-vector-flow","display_name":"gradient vector flow","score":0.8790000081062317},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"image segmentation","score":0.7990000247955322},{"id":"https://openalex.org/keywords/energy-functional","display_name":"energy functional","score":0.9110000133514404},{"id":"https://openalex.org/keywords/shannon-entropy","display_name":"Shannon entropy","score":0.7590000033378601},{"id":"https://openalex.org/keywords/level-set-method","display_name":"level set method","score":0.8999999761581421},{"id":"https://openalex.org/keywords/variational-methods","display_name":"variational methods","score":0.9599999785423279},{"id":"https://openalex.org/keywords/boundary-features","display_name":"boundary features","score":0.5920000076293945}],"concepts":[{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.9114446640014648},{"id":"https://openalex.org/C20749125","wikidata":"https://www.wikidata.org/wiki/Q7917826","display_name":"Vector flow","level":4,"score":0.8377937078475952},{"id":"https://openalex.org/C191640071","wikidata":"https://www.wikidata.org/wiki/Q5377056","display_name":"Energy functional","level":2,"score":0.7422345876693726},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5850034356117249},{"id":"https://openalex.org/C167879884","wikidata":"https://www.wikidata.org/wiki/Q727568","display_name":"Balanced flow","level":2,"score":0.5793869495391846},{"id":"https://openalex.org/C91188154","wikidata":"https://www.wikidata.org/wiki/Q186247","display_name":"Vector field","level":2,"score":0.577132523059845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5056443214416504},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4882047772407532},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48477858304977417},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4720015525817871},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.4265623092651367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36035871505737305},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3555644452571869},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34515464305877686},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.17237472534179688},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1562192440032959},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09220534563064575},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:umpir.ump.edu.my:25829","doi":null,"is_oa":true,"landing_page_url":"http://umpir.ump.edu.my/id/eprint/25829/7/An%20energy%20functional%20model%20by%20gradient.pdf","pdf_url":"http://umpir.ump.edu.my/id/eprint/25829/7/An%20energy%20functional%20model%20by%20gradient.pdf","source":{"id":"https://openalex.org/S4377196561","display_name":"UMP Institutional Repository (Universiti Malaysia Pahang)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I102913810","host_organization_name":"Universiti Malaysia Pahang Al-Sultan Abdullah","host_organization_lineage":["https://openalex.org/I102913810"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"mag:3021696404","doi":null,"is_oa":false,"landing_page_url":"http://umpir.ump.edu.my/id/eprint/25829/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:umpir.ump.edu.my:25829","doi":null,"is_oa":true,"landing_page_url":"http://umpir.ump.edu.my/id/eprint/25829/7/An%20energy%20functional%20model%20by%20gradient.pdf","pdf_url":"http://umpir.ump.edu.my/id/eprint/25829/7/An%20energy%20functional%20model%20by%20gradient.pdf","source":{"id":"https://openalex.org/S4377196561","display_name":"UMP Institutional Repository (Universiti Malaysia Pahang)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I102913810","host_organization_name":"Universiti Malaysia Pahang Al-Sultan Abdullah","host_organization_lineage":["https://openalex.org/I102913810"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G3407739236","display_name":null,"funder_award_id":"BK20181045","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3021696404.pdf","grobid_xml":"https://content.openalex.org/works/W3021696404.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2093839305","https://openalex.org/W7104179922","https://openalex.org/W1977359339","https://openalex.org/W2741033153","https://openalex.org/W2393577575","https://openalex.org/W2530418502","https://openalex.org/W2333695374","https://openalex.org/W2074971040","https://openalex.org/W2916838848","https://openalex.org/W2004178728"],"abstract_inverted_index":{"To":[0],"design":[1],"a":[2,110,145],"gradient":[3,77,96,122,154],"vector-driven":[4],"active":[5,22,44,128,147],"contour":[6,23,45,148],"\\nlocal":[7],"fitted":[8,103],"image":[9,49,104,133],"segmentation":[10,105,134],"model":[11,36,149],"based":[12],"on":[13,48],"information":[14],"\\nentropy":[15],"for":[16,32],"analyzing":[17],"the":[18,21,26,55,63,66,72,76,90,95,101,118,121,127,132,137,141,153,157],"construction":[19],"of":[20,65,75,94,120,140,156],"\\nmodel":[24],"by":[25],"variational":[27],"and":[28,38,54,62,85,130],"level":[29],"set":[30],"methods":[31],"validating":[33],"\\nthe":[34],"proposed":[35],"theoretically":[37],"simulation":[39],"experiments.":[40],"Firstly,":[41],"several":[42],"important":[43,87],"models":[46],"\\nbased":[47],"boundary":[50],"features":[51],"are":[52,58,68],"introduced,":[53],"existing":[56],"problems":[57,67],"analyzed":[59],"in":[60,83,100],"depth,":[61,84],"causes":[64],"pointed":[69],"out.":[70],"Next,":[71],"non-conservative":[73],"behavior":[74],"vector":[78,97,123],"flow":[79,91,124,155],"field":[80,92,125],"is":[81,98,114,150],"studied":[82],"an":[86],"conclusion":[88],"about":[89],"divergence":[93],"obtained":[99],"local":[102],"model.":[106],"On":[107],"this":[108],"basis,":[109],"new":[111,146],"energy":[112,142,159],"functional":[113],"constructed":[115,151],"to":[116],"measure":[117],"flux":[119],"through":[126],"curve,":[129],"transform":[131],"problem":[135],"into":[136],"minimum":[138],"value":[139],"functional.":[143,160],"Finally,":[144],"\\nusing":[152],"above":[158]},"counts_by_year":[],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2020-05-13T00:00:00"}
