{"id":"https://openalex.org/W2129444848","doi":"https://doi.org/10.1109/icnn.1996.549128","title":"Image segmentation by neural oscillator networks","display_name":"Image segmentation by neural oscillator networks","publication_year":2002,"publication_date":"2002-12-23","ids":{"openalex":"https://openalex.org/W2129444848","doi":"https://doi.org/10.1109/icnn.1996.549128","mag":"2129444848"},"language":"en","primary_location":{"id":"doi:10.1109/icnn.1996.549128","doi":"https://doi.org/10.1109/icnn.1996.549128","is_oa":false,"landing_page_url":"http://doi.org/10.1109/icnn.1996.549128","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of International Conference on Neural Networks (ICNN'96)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5051837453","display_name":"DeLiang Wang","orcid":"https://orcid.org/0000-0001-8195-6319","observed_orcids":["https://orcid.org/0000-0001-8195-6319"]},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"DeLiang Wang","raw_affiliation_strings":["Dept of Comput. & Inf. Sci., Ohio State Univ., Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept of Comput. & Inf. Sci., Ohio State Univ., Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024263881","display_name":"D. Termani","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Termani","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2008,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.45152128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1534","last_page":"1539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.22169999778270721,"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":0.22169999778270721,"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/T10581","display_name":"Neural dynamics and brain function","score":0.19009999930858612,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.18629999458789825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/image-segmentation","display_name":"image segmentation","score":1.0},{"id":"https://openalex.org/keywords/neural-oscillator-networks","display_name":"neural oscillator networks","score":0.8709999918937683},{"id":"https://openalex.org/keywords/legion","display_name":"legions","score":0.8209999799728394},{"id":"https://openalex.org/keywords/phase-encoding","display_name":"phase encoding","score":0.5429999828338623},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"noise reduction","score":0.6159999966621399},{"id":"https://openalex.org/keywords/figure-ground-segregation","display_name":"figure-ground segregation","score":0.9570000171661377},{"id":"https://openalex.org/keywords/grayscale-images","display_name":"grayscale images","score":0.753000020980835}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6421734690666199},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6266923546791077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5496413111686707},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5200604796409607},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5052853226661682},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48552608489990234}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnn.1996.549128","doi":"https://doi.org/10.1109/icnn.1996.549128","is_oa":false,"landing_page_url":"http://doi.org/10.1109/icnn.1996.549128","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of International Conference on Neural Networks (ICNN'96)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1526844937","https://openalex.org/W2024390075","https://openalex.org/W2035051040","https://openalex.org/W2079948225","https://openalex.org/W2085319761","https://openalex.org/W2096470434","https://openalex.org/W2113640225","https://openalex.org/W2150029220","https://openalex.org/W2172513721"],"related_works":["https://openalex.org/W1984533126","https://openalex.org/W1644799288","https://openalex.org/W2143159114","https://openalex.org/W2382601664","https://openalex.org/W2381533717","https://openalex.org/W7099869313","https://openalex.org/W2143681921","https://openalex.org/W1922751296","https://openalex.org/W1970326647","https://openalex.org/W1987394681"],"abstract_inverted_index":{"We":[0,25],"study":[1],"image":[2,59,104],"segmentation":[3,105],"on":[4,48],"the":[5,16,21,68],"basis":[6],"of":[7,18,23],"locally":[8],"excitatory":[9],"globally":[10],"inhibitory":[11],"oscillator":[12,31],"networks":[13],"(LEGION),":[14],"whereby":[15],"phases":[17],"oscillators":[19,36,69],"encode":[20],"binding":[22],"pixels.":[24],"introduce":[26],"a":[27,51,97],"potential":[28],"for":[29,62,103],"each":[30],"so":[32,64],"that":[33,65],"only":[34],"those":[35,76],"with":[37],"strong":[38],"connections":[39],"from":[40],"their":[41],"neighborhoods":[42],"can":[43],"develop":[44],"high":[45],"potentials.":[46],"Based":[47],"this":[49],"concept,":[50],"solution":[52],"to":[53,71,78,85],"remove":[54],"noisy":[55,72],"regions":[56],"in":[57],"an":[58],"is":[60,83],"proposed":[61],"LEGION,":[63],"it":[66],"suppresses":[67],"corresponding":[70,77],"regions,":[73],"without":[74],"affecting":[75],"major":[79],"regions.":[80],"The":[81],"network":[82],"applied":[84],"segmenting":[86],"real":[87],"gray-level":[88],"images":[89],"and":[90,100,106],"produces":[91],"reasonable":[92],"results.":[93],"LEGION":[94],"may":[95],"provide":[96],"neurally":[98],"plausible":[99],"effective":[101],"framework":[102],"figure-ground":[107],"segregation.":[108]},"counts_by_year":[],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2016-06-24T00:00:00"}