{"id":"https://openalex.org/W2167813720","doi":"https://doi.org/10.1109/83.334980","title":"Hierarchical morphological segmentation for image sequence coding","display_name":"Hierarchical morphological segmentation for image sequence coding","publication_year":1994,"publication_date":"1994-01-01","ids":{"openalex":"https://openalex.org/W2167813720","doi":"https://doi.org/10.1109/83.334980","mag":"2167813720","pmid":"https://pubmed.ncbi.nlm.nih.gov/18291957"},"language":"en","primary_location":{"id":"doi:10.1109/83.334980","doi":"https://doi.org/10.1109/83.334980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/83.334980","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://upcommons.upc.edu/bitstream/2117/97633/1/Hierarchical%20morphological%20segmentation%20for%20image%20sequence%20coding.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027200081","display_name":"Philippe Salembier","orcid":"https://orcid.org/0000-0001-8884-9604","observed_orcids":["https://orcid.org/0000-0001-8884-9604"]},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"P. Salembier","raw_affiliation_strings":["Dept. de Teoria del Senyal i Comunicacions, Univ. Politecnica de Catalunya, Barcelona","Department of Signal Theory and Communication, ETSETB-Universitat Politecnica de Catalunya, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. de Teoria del Senyal i Comunicacions, Univ. Politecnica de Catalunya, Barcelona","institution_ids":["https://openalex.org/I9617848"]},{"raw_affiliation_string":"Department of Signal Theory and Communication, ETSETB-Universitat Politecnica de Catalunya, Barcelona, Spain","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016194141","display_name":"Montse Pard\u00e0s","orcid":"https://orcid.org/0000-0002-5861-6356","observed_orcids":["https://orcid.org/0000-0002-5861-6356"]},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"M. Pardas","raw_affiliation_strings":["Department of Signal Theory and Communication, ETSETB-Universitat Politecnica de Catalunya, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communication, ETSETB-Universitat Politecnica de Catalunya, Barcelona, Spain","institution_ids":["https://openalex.org/I9617848"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9617848"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":10.237,"has_fulltext":true,"cited_by_count":196,"citation_normalized_percentile":{"value":0.98586239,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"3","issue":"5","first_page":"639","last_page":"651"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.7529000043869019,"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":0.7529000043869019,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.17720000445842743,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12923","display_name":"Digital Image Processing Techniques","score":0.013700000010430813,"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/image-sequence-coding","display_name":"image sequence coding","score":0.972000002861023},{"id":"https://openalex.org/keywords/mathematical-morphology","display_name":"mathematical morphology","score":0.8429999947547913},{"id":"https://openalex.org/keywords/region-correspondence","display_name":"region correspondence","score":0.7490000128746033},{"id":"https://openalex.org/keywords/partial-reconstruction","display_name":"partial reconstruction","score":0.527999997138977},{"id":"https://openalex.org/keywords/marker-extraction","display_name":"marker extraction","score":0.6600000262260437},{"id":"https://openalex.org/keywords/watershed-segmentation","display_name":"watershed segmentation","score":0.8309999704360962},{"id":"https://openalex.org/keywords/texture-coding","display_name":"texture coding","score":0.9160000085830688},{"id":"https://openalex.org/keywords/contour-coding","display_name":"contour coding","score":0.9679999947547913}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.727762758731842},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6518551707267761},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6274930238723755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6230391263961792},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6225305795669556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6109470129013062},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.6034359931945801},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.536842942237854},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.49983954429626465},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4409213066101074},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.41229718923568726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3273364305496216},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2983672022819519},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23964238166809082},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/83.334980","doi":"https://doi.org/10.1109/83.334980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/83.334980","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:18291957","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/18291957","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":"Journal Article"},{"id":"pmh:oai:upcommons.upc.edu:2117/97633","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2117/97633","pdf_url":"https://upcommons.upc.edu/bitstream/2117/97633/1/Hierarchical%20morphological%20segmentation%20for%20image%20sequence%20coding.pdf","source":{"id":"https://openalex.org/S4377196262","display_name":"UPCommons institutional repository (Universitat Polit\u00e8cnica de Catalunya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I9617848","host_organization_name":"Universitat Polit\u00e8cnica de Catalunya","host_organization_lineage":["https://openalex.org/I9617848"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:recercat.cat:2072/268579","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2117/97633","pdf_url":null,"source":{"id":"https://openalex.org/S4306402147","display_name":"RECERCAT (Consorci de Serveis Universitaris de Catalunya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210090028","host_organization_name":"Consorci de Serveis Universitaris de Catalunya","host_organization_lineage":["https://openalex.org/I4210090028"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:dnet:upcommonspor::7830060f78eb01011fb65df1b0fdb1a8","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2117/97633","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:upcommons.upc.edu:2117/97633","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2117/97633","pdf_url":"https://upcommons.upc.edu/bitstream/2117/97633/1/Hierarchical%20morphological%20segmentation%20for%20image%20sequence%20coding.pdf","source":{"id":"https://openalex.org/S4377196262","display_name":"UPCommons institutional repository (Universitat Polit\u00e8cnica de Catalunya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I9617848","host_organization_name":"Universitat Polit\u00e8cnica de Catalunya","host_organization_lineage":["https://openalex.org/I9617848"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2167813720.pdf","grobid_xml":"https://content.openalex.org/works/W2167813720.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W751136071","https://openalex.org/W823926753","https://openalex.org/W1948972019","https://openalex.org/W1971630329","https://openalex.org/W1978451268","https://openalex.org/W2074642454","https://openalex.org/W2091487275","https://openalex.org/W2095057212","https://openalex.org/W2096169836","https://openalex.org/W2098043369","https://openalex.org/W2124260943","https://openalex.org/W2133496072","https://openalex.org/W2135879701","https://openalex.org/W2154410785","https://openalex.org/W2155026392","https://openalex.org/W2158007589","https://openalex.org/W2164741953","https://openalex.org/W4230982142","https://openalex.org/W4251431888"],"related_works":["https://openalex.org/W2074642454","https://openalex.org/W2158007589","https://openalex.org/W6983538500","https://openalex.org/W1989692257","https://openalex.org/W2613601217","https://openalex.org/W7100002410","https://openalex.org/W1517315556","https://openalex.org/W1038352320","https://openalex.org/W1536704426","https://openalex.org/W13464871"],"abstract_inverted_index":{"This":[0,209],"paper":[1],"deals":[2,24],"with":[3,25,63],"a":[4,45,58,64,91,105,214],"hierarchical":[5],"morphological":[6,188],"segmentation":[7,71,106,121,257,267,272,277],"algorithm":[8,43],"for":[9,18,160],"image":[10],"sequence":[11,141],"coding.":[12],"Mathematical":[13],"morphology":[14],"is":[15,73,101,108,180,196,211,262],"very":[16,158],"attractive":[17],"this":[19,161],"purpose":[20],"because":[21],"it":[22,144],"efficiently":[23],"geometrical":[26],"features":[27],"such":[28],"as":[29,39,87],"size,":[30],"shape,":[31],"contrast,":[32],"or":[33],"connectivity":[34],"that":[35,61,107,234],"can":[36],"be":[37,157],"considered":[38],"segmentation-oriented":[40],"features.":[41],"The":[42,83,135,169,191,243,259],"follows":[44],"top-down":[46],"procedure.":[47],"It":[48,179],"first":[49],"takes":[50],"into":[51],"account":[52],"the":[53,70,116,140,165,173,194,200,206,219,224,228,231,246,249,256,265,271,285,290],"global":[54],"information":[55,138,229],"and":[56,112,132,187,240,251,273,278,287],"produces":[57],"coarse":[59],"segmentation,":[60],"is,":[62],"small":[65],"number":[66],"of":[67,167,175,193,202,248,289],"regions.":[68,97,178],"Then,":[69],"quality":[72,133,220],"improved":[74],"by":[75,205,213],"introducing":[76],"regions":[77,203,233],"corresponding":[78],"to":[79,103,113,142,146,156,197,264,269,283],"more":[80],"local":[81],"information.":[82],"algorithm,":[84],"considering":[85],"sequences":[86],"being":[88],"functions":[89],"on":[90,124,151,182,223],"3-D":[92,96,99,177,232],"space,":[93],"directly":[94,114],"segments":[95],"A":[98],"approach":[100],"used":[102],"get":[104],"stable":[109],"in":[110,164],"time":[111],"solve":[115],"region":[117,185],"correspondence":[118],"problem.":[119],"Each":[120],"stage":[122,268],"relies":[123],"four":[125],"basic":[126],"steps:":[127],"simplification,":[128],"marker":[129,170,207],"extraction,":[130],"decision,":[131],"estimation.":[134],"simplification":[136],"removes":[137],"from":[139],"make":[143],"easier":[145],"segment.":[147],"Morphological":[148],"filters":[149],"based":[150,181],"partial":[152],"reconstruction":[153],"are":[154,281],"proven":[155],"efficient":[159],"purpose,":[162],"especially":[163],"case":[166],"sequences.":[168],"extraction":[171],"identifies":[172],"presence":[174],"homogeneous":[176],"constrained":[183],"flat":[184],"labeling":[186],"contrast":[189],"extraction.":[190,208],"goal":[192],"decision":[195,210],"precisely":[198],"locate":[199],"contours":[201],"detected":[204],"performed":[212],"modified":[215],"watershed":[216],"algorithm.":[217,258],"Finally,":[218,276],"estimation":[221],"concentrates":[222],"coding":[225,253,260,274,279,291],"residue,":[226],"all":[227],"about":[230],"have":[235],"not":[236],"been":[237],"properly":[238],"segmented":[239],"therefore":[241],"coded.":[242],"procedure":[244],"allows":[245],"introduction":[247],"texture":[250],"contour":[252],"schemes":[254],"within":[255],"residue":[261],"transmitted":[263],"next":[266],"improve":[270],"quality.":[275],"examples":[280],"presented":[282],"show":[284],"validity":[286],"interest":[288],"approach.":[292]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":7}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}