{"id":"https://openalex.org/W2146988418","doi":"https://doi.org/10.1109/tip.2008.2006443","title":"Local Region Descriptors for Active Contours Evolution","display_name":"Local Region Descriptors for Active Contours Evolution","publication_year":2008,"publication_date":"2008-11-12","ids":{"openalex":"https://openalex.org/W2146988418","doi":"https://doi.org/10.1109/tip.2008.2006443","mag":"2146988418","pmid":"https://pubmed.ncbi.nlm.nih.gov/19004701"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2008.2006443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2008.2006443","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,"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"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5035611036","display_name":"C. Darolti","orcid":null},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"C. Darolti","raw_affiliation_strings":["Institute for Signal Processing, University of L\u00fcbeck, Germany. darolti@isip.uniluebeck.de","Inst. for Signal Process., Univ. of Lubeck, Lubeck"],"affiliations":[{"raw_affiliation_string":"Institute for Signal Processing, University of L\u00fcbeck, Germany. darolti@isip.uniluebeck.de","institution_ids":["https://openalex.org/I9341345"]},{"raw_affiliation_string":"Inst. for Signal Process., Univ. of Lubeck, Lubeck","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063948113","display_name":"Alfred Mertins","orcid":"https://orcid.org/0000-0001-5718-577X"},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"A. Mertins","raw_affiliation_strings":["Institute of Signal Processing, University of L\u00fcbeck, Germany","Inst. for Signal Process., Univ. of Lubeck, Lubeck"],"affiliations":[{"raw_affiliation_string":"Institute of Signal Processing, University of L\u00fcbeck, Germany","institution_ids":["https://openalex.org/I9341345"]},{"raw_affiliation_string":"Inst. for Signal Process., Univ. of Lubeck, Lubeck","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008037781","display_name":"Christoph Bodensteiner","orcid":"https://orcid.org/0000-0002-5563-3484"},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"C. Bodensteiner","raw_affiliation_strings":["Institute of Robotics, University of L\u00fcbeck, Germany","[Institute of Robotics, University of L\u00fcbeck, Germany]"],"affiliations":[{"raw_affiliation_string":"Institute of Robotics, University of L\u00fcbeck, Germany","institution_ids":["https://openalex.org/I9341345"]},{"raw_affiliation_string":"[Institute of Robotics, University of L\u00fcbeck, Germany]","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071399115","display_name":"Ulrich Hofmann","orcid":"https://orcid.org/0000-0002-6264-3701"},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"U.G. Hofmann","raw_affiliation_strings":["Institute of Signal Processing, University of L\u00fcbeck, Germany","[Institute of Signal Processing, University of L\u00fcbeck, Germany]"],"affiliations":[{"raw_affiliation_string":"Institute of Signal Processing, University of L\u00fcbeck, Germany","institution_ids":["https://openalex.org/I9341345"]},{"raw_affiliation_string":"[Institute of Signal Processing, University of L\u00fcbeck, Germany]","institution_ids":["https://openalex.org/I9341345"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035611036"],"corresponding_institution_ids":["https://openalex.org/I9341345"],"apc_list":null,"apc_paid":null,"fwci":3.5471,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.93464038,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"17","issue":"12","first_page":"2275","last_page":"2288"},"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":0.9962000250816345,"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":0.9908999800682068,"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/pixel","display_name":"Pixel","score":0.711189866065979},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.6707228422164917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6471638679504395},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.639492928981781},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5626296997070312},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5512465238571167},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.5064235925674438},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4768151640892029},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.47194141149520874},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4669222831726074},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.44858384132385254},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.4319922626018524},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.43080949783325195},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.42838308215141296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3881133198738098},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1260155737400055}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.711189866065979},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.6707228422164917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6471638679504395},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.639492928981781},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5626296997070312},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5512465238571167},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.5064235925674438},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4768151640892029},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.47194141149520874},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4669222831726074},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.44858384132385254},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.4319922626018524},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.43080949783325195},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.42838308215141296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3881133198738098},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1260155737400055},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2008.2006443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2008.2006443","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,"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:19004701","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19004701","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,"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":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.302.1143","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.302.1143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.isip.uni-luebeck.de/uploads/tx_wapublications/cristina-TIP2008.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1238092070","https://openalex.org/W1485534091","https://openalex.org/W1489669443","https://openalex.org/W1489737123","https://openalex.org/W1506879382","https://openalex.org/W1509538840","https://openalex.org/W1580269359","https://openalex.org/W1615131515","https://openalex.org/W1648628932","https://openalex.org/W1838005314","https://openalex.org/W1979363725","https://openalex.org/W1991113069","https://openalex.org/W2009967126","https://openalex.org/W2021640751","https://openalex.org/W2023297597","https://openalex.org/W2027201113","https://openalex.org/W2044562173","https://openalex.org/W2049633694","https://openalex.org/W2086921140","https://openalex.org/W2091706951","https://openalex.org/W2098152234","https://openalex.org/W2104028907","https://openalex.org/W2104095591","https://openalex.org/W2105125008","https://openalex.org/W2106780881","https://openalex.org/W2108077184","https://openalex.org/W2109011174","https://openalex.org/W2111009828","https://openalex.org/W2112891016","https://openalex.org/W2116040950","https://openalex.org/W2119058540","https://openalex.org/W2120073691","https://openalex.org/W2128350665","https://openalex.org/W2130250107","https://openalex.org/W2138524633","https://openalex.org/W2140848835","https://openalex.org/W2144133758","https://openalex.org/W2145803225","https://openalex.org/W2146033519","https://openalex.org/W2149184914","https://openalex.org/W2158642611","https://openalex.org/W2165734775","https://openalex.org/W3211330693","https://openalex.org/W6629144004","https://openalex.org/W6630484669","https://openalex.org/W6996884827","https://openalex.org/W7048738093"],"related_works":["https://openalex.org/W2368150111","https://openalex.org/W2125739208","https://openalex.org/W2098360446","https://openalex.org/W2357306746","https://openalex.org/W4286543806","https://openalex.org/W2888165508","https://openalex.org/W2168406752","https://openalex.org/W3023152879","https://openalex.org/W2766054123","https://openalex.org/W2135353231"],"abstract_inverted_index":{"Edge-based":[0],"and":[1,61],"region-based":[2],"active":[3,89,172],"contours":[4,173],"are":[5,47,70,129,138],"frequently":[6],"used":[7,71],"in":[8,198],"image":[9,22,37],"segmentation.":[10],"While":[11],"edges":[12],"characterize":[13,20,36],"small":[14],"neighborhoods":[15],"of":[16,93,96,100,112,115,149],"pixels,":[17],"region":[18],"descriptors":[19],"entire":[21],"regions":[23,38],"that":[24,135,151,174,178,188],"may":[25,63],"have":[26,179],"overlapping":[27,181],"probability":[28,98,183],"densities.":[29,184],"In":[30,80,106],"this":[31],"paper,":[32],"we":[33,118,170],"propose":[34],"to":[35,72,108],"locally":[39],"by":[40,91],"defining":[41],"Local":[42],"Region":[43],"Descriptors":[44],"(LRDs).":[45],"These":[46],"essentially":[48],"feature":[49],"statistics":[50],"from":[51],"pixels":[52,150],"located":[53],"within":[54],"windows":[55],"centered":[56],"on":[57,77,103,132],"the":[58,65,94,97,104,110,125,133,167,189],"evolving":[59],"contour,":[60],"they":[62],"reduce":[64,109],"overlap":[66],"between":[67,147],"distributions.":[68],"LRDs":[69],"define":[73],"general-form":[74],"energies":[75],"based":[76,131],"level":[78],"sets.":[79],"general,":[81],"a":[82,144,158,204],"particular":[83],"energy":[84,126],"is":[85],"associated":[86,168],"with":[87],"an":[88],"contour":[90],"means":[92],"logarithm":[95],"density":[99],"features":[101,148],"conditioned":[102],"region.":[105],"order":[107],"number":[111],"local":[113,136,159],"minima":[114],"such":[116],"energies,":[117,169],"introduce":[119],"two":[120],"novel":[121],"functions":[122],"for":[123],"constructing":[124],"functional":[127],"which":[128],"both":[130],"assumption":[134],"densities":[137],"approximately":[139],"Gaussian.":[140],"The":[141,155],"first":[142],"uses":[143],"similarity":[145],"measure":[146],"involves":[152],"confidence":[153],"intervals.":[154],"second":[156],"employs":[157],"Markov":[160],"Random":[161],"Field":[162],"(MRF)":[163],"model.":[164],"By":[165],"minimizing":[166],"obtain":[171],"can":[175,192],"segment":[176,194],"objects":[177],"largely":[180],"global":[182],"Our":[185],"experiments":[186],"show":[187],"proposed":[190],"method":[191],"accurately":[193],"natural":[195],"large":[196],"images":[197],"very":[199],"short":[200],"time":[201],"when":[202],"using":[203],"fast":[205],"level-set":[206],"implementation.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}