{"id":"https://openalex.org/W2461571022","doi":"https://doi.org/10.1117/1.jei.25.4.041010","title":"Adaptable active contour model with applications to infrared ship target segmentation","display_name":"Adaptable active contour model with applications to infrared ship target segmentation","publication_year":2016,"publication_date":"2016-06-28","ids":{"openalex":"https://openalex.org/W2461571022","doi":"https://doi.org/10.1117/1.jei.25.4.041010","mag":"2461571022"},"language":"en","primary_location":{"id":"doi:10.1117/1.jei.25.4.041010","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.jei.25.4.041010","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","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/A5009378664","display_name":"Lingling Fang","orcid":"https://orcid.org/0000-0002-4397-7212"},"institutions":[{"id":"https://openalex.org/I153374732","display_name":"Liaoning Normal University","ror":"https://ror.org/04c3cgg32","country_code":"CN","type":"education","lineage":["https://openalex.org/I153374732"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingling Fang","raw_affiliation_strings":["Liaoning Normal Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liaoning Normal Univ. (China)","institution_ids":["https://openalex.org/I153374732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055787139","display_name":"Xianghai Wang","orcid":"https://orcid.org/0000-0002-7600-9939"},"institutions":[{"id":"https://openalex.org/I153374732","display_name":"Liaoning Normal University","ror":"https://ror.org/04c3cgg32","country_code":"CN","type":"education","lineage":["https://openalex.org/I153374732"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghai Wang","raw_affiliation_strings":["Liaoning Normal Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liaoning Normal Univ. (China)","institution_ids":["https://openalex.org/I153374732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377279","display_name":"Yu Wan","orcid":"https://orcid.org/0000-0002-8354-7647"},"institutions":[{"id":"https://openalex.org/I153374732","display_name":"Liaoning Normal University","ror":"https://ror.org/04c3cgg32","country_code":"CN","type":"education","lineage":["https://openalex.org/I153374732"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wan","raw_affiliation_strings":["Liaoning Normal Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liaoning Normal Univ. (China)","institution_ids":["https://openalex.org/I153374732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153374732"],"apc_list":null,"apc_paid":null,"fwci":10.825,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.98083086,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"25","issue":"4","first_page":"041010","last_page":"041010"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9977999925613403,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9932000041007996,"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/active-contour-model","display_name":"Active contour model","score":0.9126565456390381},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7411028146743774},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6964613199234009},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6632664799690247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6619764566421509},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6474604606628418},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5074083209037781},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45018139481544495},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43605536222457886},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.4220525920391083},{"id":"https://openalex.org/keywords/contour-line","display_name":"Contour line","score":0.41454654932022095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17369216680526733},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10968953371047974}],"concepts":[{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.9126565456390381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7411028146743774},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6964613199234009},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6632664799690247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6619764566421509},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6474604606628418},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5074083209037781},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45018139481544495},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43605536222457886},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.4220525920391083},{"id":"https://openalex.org/C86069527","wikidata":"https://www.wikidata.org/wiki/Q6653802","display_name":"Contour line","level":2,"score":0.41454654932022095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17369216680526733},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10968953371047974},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/1.jei.25.4.041010","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.jei.25.4.041010","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","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":18,"referenced_works":["https://openalex.org/W1616696059","https://openalex.org/W1964444269","https://openalex.org/W1985810477","https://openalex.org/W1993158010","https://openalex.org/W2002307672","https://openalex.org/W2019726947","https://openalex.org/W2023297597","https://openalex.org/W2033567420","https://openalex.org/W2051992067","https://openalex.org/W2052019611","https://openalex.org/W2060309604","https://openalex.org/W2060449488","https://openalex.org/W2067173181","https://openalex.org/W2100503224","https://openalex.org/W2116040950","https://openalex.org/W2120606581","https://openalex.org/W6636438208","https://openalex.org/W6648673232"],"related_works":["https://openalex.org/W2387003628","https://openalex.org/W123102278","https://openalex.org/W2081609930","https://openalex.org/W1522196789","https://openalex.org/W2375013257","https://openalex.org/W4210537690","https://openalex.org/W2885157826","https://openalex.org/W2159463658","https://openalex.org/W2051067977","https://openalex.org/W2947322168"],"abstract_inverted_index":{"Active":[0],"contour":[1,39],"model":[2,40],"is":[3,41],"widely":[4],"and":[5,20,51,72,87],"popularly":[6],"used":[7],"in":[8,31],"the":[9,79,85],"field":[10],"of":[11,15,89],"image":[12,49],"segmentation":[13],"because":[14],"its":[16],"superior":[17],"theoretical":[18],"properties":[19],"efficient":[21],"numerical":[22],"methods.":[23],"An":[24],"algorithm":[25],"to":[26],"segment":[27,62],"a":[28],"ship":[29,64],"target":[30],"infrared":[32],"(IR)":[33],"images":[34],"using":[35],"Chan\u2013Vese":[36],"(C\u2013V)":[37],"active":[38],"proposed":[42],"here.":[43],"The":[44,59],"method":[45,60],"effectively":[46],"integrates":[47],"both":[48],"regional":[50],"boundary":[52],"information":[53],"by":[54],"an":[55],"adaptable":[56],"weight":[57],"function.":[58],"can":[61],"IR":[63],"images,":[65],"which":[66],"usually":[67],"contain":[68],"noises,":[69],"blurry":[70],"boundaries,":[71],"heterogeneous":[73],"regions.":[74],"In":[75],"addition,":[76],"compared":[77],"with":[78],"state-of-the-art":[80],"methods,":[81],"experiment":[82],"results":[83],"demonstrate":[84],"performance":[86],"effectiveness":[88],"this":[90],"method.":[91]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}