乐胖代购免代理版

{"id":"https://openalex.org/W2048782579","doi":"https://doi.org/10.1109/tip.2005.860612","title":"Unsupervised contour closure algorithm for range image edge-based segmentation","display_name":"Unsupervised contour closure algorithm for range image edge-based segmentation","publication_year":2006,"publication_date":"2006-01-18","ids":{"openalex":"https://openalex.org/W2048782579","doi":"https://doi.org/10.1109/tip.2005.860612","mag":"2048782579","pmid":"https://pubmed.ncbi.nlm.nih.gov/16479807"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2005.860612","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_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5002373986","display_name":"\u00c1ngel D. Sappa","orcid":"https://orcid.org/0000-0003-2468-0031"},"institutions":[{"id":"https://openalex.org/I2799803557","display_name":"Barcelona Supercomputing Center","ror":"https://ror.org/05sd8tv96","country_code":"ES","type":"funder","lineage":["https://openalex.org/I2799803557","https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"A.D. Sappa","raw_affiliation_strings":["Comput. Vision Center, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Comput. Vision Center, Barcelona, Spain","institution_ids":["https://openalex.org/I2799803557"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5002373986"],"corresponding_institution_ids":["https://openalex.org/I2799803557"],"apc_list":null,"apc_paid":null,"fwci":2.606,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":30,"citation_normalized_percentile":{"value":0.925017,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":91},"biblio":{"volume":"15","issue":"2","first_page":"377","last_page":"384"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.999,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.999,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9989,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.998,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/range-segmentation","display_name":"Range segmentation","score":0.5015757}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.64273626},{"id":"https://openalex.org/C13743678","wikidata":"https://www.wikidata.org/wiki/Q240464","display_name":"Minimum spanning tree","level":2,"score":0.59851825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.541021},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5048626},{"id":"https://openalex.org/C67561299","wikidata":"https://www.wikidata.org/wiki/Q7292710","display_name":"Range segmentation","level":5,"score":0.5015757},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.48163977},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4764614},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47558963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42860588},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41223758},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4121461},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.38902825},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3799698},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35103422},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29258525},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27764204},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.110535085},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":"","qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"","qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"","qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2005.860612","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_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/16479807","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_indexed_in_scopus":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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":23,"referenced_works":["https://openalex.org/W1513966746","https://openalex.org/W1517323438","https://openalex.org/W1809331363","https://openalex.org/W1840106807","https://openalex.org/W1973662756","https://openalex.org/W2028310195","https://openalex.org/W2036358425","https://openalex.org/W2075690349","https://openalex.org/W2105035676","https://openalex.org/W2107804445","https://openalex.org/W2107902126","https://openalex.org/W2117561148","https://openalex.org/W2120128981","https://openalex.org/W2142707712","https://openalex.org/W2149906774","https://openalex.org/W2154841693","https://openalex.org/W2157515549","https://openalex.org/W2167862746","https://openalex.org/W2400908863","https://openalex.org/W3041834803","https://openalex.org/W3158736363","https://openalex.org/W4242246215","https://openalex.org/W4293052488"],"related_works":["https://openalex.org/W3152412130","https://openalex.org/W2553765490","https://openalex.org/W2551987074","https://openalex.org/W2394279717","https://openalex.org/W2150504945","https://openalex.org/W2135797233","https://openalex.org/W2128032357","https://openalex.org/W2005764589","https://openalex.org/W1998145955","https://openalex.org/W1522429714"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,31],"efficient":[4],"technique":[5,68],"for":[6],"extracting":[7],"closed":[8,128],"contours":[9],"from":[10,51],"range":[11,33,136],"images'":[12],"edge":[13,98],"points.":[14,54],"Edge":[15],"points":[16,99],"are":[17,145],"assumed":[18],"to":[19,24,113,126],"be":[20],"given":[21],"as":[22,100],"input":[23,53],"the":[25,56,74,88,93,109],"algorithm":[26],"(i.e.,":[27],"previously":[28],"computed":[29],"by":[30,77,96],"edge-based":[32],"image":[34],"segmentation":[35],"technique).":[36],"The":[37,85],"proposed":[38,89],"approach":[39,90],"consists":[40],"of":[41,60,87,102],"three":[42],"steps.":[43],"Initially,":[44],"a":[45,66,70,103,114,121,142],"partially":[46,104],"connected":[47,105],"graph":[48,62],"is":[49,63],"generated":[50],"those":[52],"Then,":[55],"minimum":[57,115],"spanning":[58,116],"tree":[59,117],"that":[61],"computed.":[64],"Finally,":[65],"postprocessing":[67],"generates":[69],"single":[71],"path":[72],"through":[73],"regions'":[75],"boundaries":[76],"removing":[78],"noisy":[79],"links":[80],"and":[81,134],"closing":[82],"open":[83],"contours.":[84,129],"novelty":[86],"lies":[91],"in":[92],"fact":[94],"that,":[95],"representing":[97],"nodes":[101],"graph,":[106],"it":[107],"reduces":[108],"contour":[110],"closure":[111],"problem":[112,119],"partitioning":[118],"plus":[120],"cost":[122],"function":[123],"minimization":[124],"stage":[125],"generate":[127],"Experimental":[130],"results":[131],"with":[132,139,141],"synthetic":[133],"real":[135],"images,":[137],"together":[138],"comparisons":[140],"previous":[143],"technique,":[144],"presented.":[146]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2048782579","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-03-19T17:47:17.700512","created_date":"2016-06-24"}