{"id":"https://openalex.org/W2048423920","doi":"https://doi.org/10.1109/wcsp.2013.6677104","title":"Interactive image segmentation based on geodesic active regions","display_name":"Interactive image segmentation based on geodesic active regions","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2048423920","doi":"https://doi.org/10.1109/wcsp.2013.6677104","mag":"2048423920"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2013.6677104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2013.6677104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Wireless Communications and Signal Processing","raw_type":"proceedings-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/A5112317429","display_name":"Chuanzhen Rong","orcid":"https://orcid.org/0009-0000-8941-1145"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanzhen Rong","raw_affiliation_strings":["College of Communications Engineering, PLA Univ. Of Sci. & Tech, Nangjing, China","Coll. of Commun. Eng., PLA Univ. Of Sci. & Tech., Nangjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, PLA Univ. Of Sci. & Tech, Nangjing, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"Coll. of Commun. Eng., PLA Univ. Of Sci. & Tech., Nangjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019618271","display_name":"Yongxing Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongxing Jia","raw_affiliation_strings":["College of Communications Engineering, PLA Univ. Of Sci. & Tech, Nangjing, China","Coll. of Commun. Eng., PLA Univ. Of Sci. & Tech., Nangjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, PLA Univ. Of Sci. & Tech, Nangjing, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"Coll. of Commun. Eng., PLA Univ. Of Sci. & Tech., Nangjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103939289","display_name":"Yu Yang","orcid":"https://orcid.org/0009-0008-9661-2170"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Yang","raw_affiliation_strings":["College of Communications Engineering, PLA Univ. Of Sci. & Tech, Nangjing, China","Coll. of Commun. Eng., PLA Univ. Of Sci. & Tech., Nangjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, PLA Univ. Of Sci. & Tech, Nangjing, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"Coll. of Commun. Eng., PLA Univ. Of Sci. & Tech., Nangjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041988267","display_name":"Ying Zhu","orcid":"https://orcid.org/0000-0002-5708-3252"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zhu","raw_affiliation_strings":["College of Communications Engineering, PLA Univ. Of Sci. & Tech, Nangjing, China","Coll. of Commun. Eng., PLA Univ. Of Sci. & Tech., Nangjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, PLA Univ. Of Sci. & Tech, Nangjing, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"Coll. of Commun. Eng., PLA Univ. Of Sci. & Tech., Nangjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100681379","display_name":"Yuan Wang","orcid":"https://orcid.org/0000-0002-9378-2245"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Wang","raw_affiliation_strings":["College of Communications Engineering, PLA Univ. Of Sci. & Tech, Nangjing, China","Coll. of Commun. Eng., PLA Univ. Of Sci. & Tech., Nangjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communications Engineering, PLA Univ. Of Sci. & Tech, Nangjing, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"Coll. of Commun. Eng., PLA Univ. Of Sci. & Tech., Nangjing, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11611108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9988999962806702,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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":0.7786258459091187},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.743840217590332},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.7067673206329346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6943477988243103},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6439968347549438},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5868505239486694},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5849374532699585},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5739139318466187},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5501516461372375},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5222245454788208},{"id":"https://openalex.org/keywords/geodesic","display_name":"Geodesic","score":0.5196017622947693},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.5130664110183716},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5107302665710449},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.48963409662246704},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4812624156475067},{"id":"https://openalex.org/keywords/minimum-spanning-tree-based-segmentation","display_name":"Minimum spanning tree-based segmentation","score":0.41085368394851685},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38794416189193726},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25272393226623535}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7786258459091187},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.743840217590332},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7067673206329346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6943477988243103},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6439968347549438},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5868505239486694},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5849374532699585},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5739139318466187},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5501516461372375},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5222245454788208},{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.5196017622947693},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.5130664110183716},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5107302665710449},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48963409662246704},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4812624156475067},{"id":"https://openalex.org/C42314347","wikidata":"https://www.wikidata.org/wiki/Q6865488","display_name":"Minimum spanning tree-based segmentation","level":5,"score":0.41085368394851685},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38794416189193726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25272393226623535},{"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:10.1109/wcsp.2013.6677104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2013.6677104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Wireless Communications and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.800000011920929,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2016482013","https://openalex.org/W2025564919","https://openalex.org/W2034373274","https://openalex.org/W2055966405","https://openalex.org/W2066406368","https://openalex.org/W2076705627","https://openalex.org/W2103148294","https://openalex.org/W2113137767","https://openalex.org/W2113622874","https://openalex.org/W2118776769","https://openalex.org/W2134956708","https://openalex.org/W2169551590","https://openalex.org/W2325954372","https://openalex.org/W2350470190","https://openalex.org/W2372272538","https://openalex.org/W2376844988","https://openalex.org/W2384337405","https://openalex.org/W2488678869","https://openalex.org/W7019882606"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2551987074","https://openalex.org/W3144569342","https://openalex.org/W2355564272","https://openalex.org/W2559983475","https://openalex.org/W2945274617","https://openalex.org/W2353364291","https://openalex.org/W2790780243","https://openalex.org/W2553765490","https://openalex.org/W2030441184"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,37],"is":[2],"one":[3,59],"of":[4,52,54,91,139],"the":[5,19,50,62,70,80,89,96,100,109,118,122,128],"basic":[6],"and":[7,13,25,43,61,72,78,99,107,111,141,143,151],"key":[8],"technologies":[9],"in":[10,28,31,137],"image":[11,29,36],"understanding":[12],"interpretation.":[14],"In":[15],"order":[16],"to":[17,95,120,127,148],"overcome":[18],"effect":[20],"caused":[21],"by":[22],"noise,":[23],"blur":[24],"background":[26,73,101],"objects":[27,64],"segmentation,":[30],"this":[32],"paper":[33],"an":[34],"interactive":[35],"method,":[38],"which":[39],"combined":[40,116],"prior":[41],"knowledge":[42],"geodesic":[44],"active":[45],"regions,":[46],"was":[47,56,86],"proposed.":[48],"Firstly,":[49],"area":[51,98,102],"target":[53,97,129],"interest":[55],"regarded":[57,66],"as":[58,67],"class,":[60],"remaining":[63],"were":[65,74,115],"background.":[68],"Then":[69],"object":[71,130],"artificially":[75],"labeled":[76],"respectively,":[77,106],"through":[79],"selected":[81],"features":[82],"a":[83,145],"probabilistic":[84],"model":[85,119],"established.":[87],"So":[88],"probabilities":[90],"each":[92],"pixel":[93],"belonged":[94],"could":[103],"be":[104],"calculated":[105],"then":[108],"boundary":[110],"regional":[112],"energy":[113],"function":[114],"into":[117],"make":[121],"initial":[123],"curve":[124],"finally":[125],"evolved":[126],"boundary.":[131],"This":[132],"method":[133],"had":[134,144],"good":[135],"performance":[136],"terms":[138],"speed":[140],"accuracy":[142],"strong":[146],"ability":[147],"resist":[149],"noise":[150],"blur.":[152]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}