{"id":"https://openalex.org/W2116443471","doi":"https://doi.org/10.1109/cvprw.2009.5204275","title":"A level set-based global shape prior and its application to image segmentation","display_name":"A level set-based global shape prior and its application to image segmentation","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2116443471","doi":"https://doi.org/10.1109/cvprw.2009.5204275","mag":"2116443471"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2009.5204275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2009.5204275","pdf_url":null,"source":{"id":"https://openalex.org/S4363608118","display_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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/A5100433899","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2078-4215"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Rensselaer Polytechnic Institute, Troy, NY, USA","Rensselaer, Polytech. Inst., Troy, NY, USA"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute, Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Rensselaer, Polytech. Inst., Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076346273","display_name":"Qiang Ji","orcid":"https://orcid.org/0000-0002-4302-2889"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiang Ji","raw_affiliation_strings":["Rensselaer Polytechnic Institute, Troy, NY, USA","Rensselaer, Polytech. Inst., Troy, NY, USA"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute, Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Rensselaer, Polytech. Inst., Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100433899"],"corresponding_institution_ids":["https://openalex.org/I165799507"],"apc_list":null,"apc_paid":null,"fwci":0.1235,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49039616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation 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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation 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/T12039","display_name":"Electron and X-Ray Spectroscopy Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2508","display_name":"Surfaces, Coatings and Films"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9923999905586243,"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/segmentation","display_name":"Segmentation","score":0.8315436840057373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7844924330711365},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6709458827972412},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6528156995773315},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6524641513824463},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6436434388160706},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.6078780293464661},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5679143667221069},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.5481472611427307},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5451719760894775},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.510155975818634},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5082475543022156},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5006520748138428},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45806530117988586},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4409767687320709}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8315436840057373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7844924330711365},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6709458827972412},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6528156995773315},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6524641513824463},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6436434388160706},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.6078780293464661},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5679143667221069},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.5481472611427307},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5451719760894775},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.510155975818634},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5082475543022156},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5006520748138428},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45806530117988586},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4409767687320709},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2009.5204275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2009.5204275","pdf_url":null,"source":{"id":"https://openalex.org/S4363608118","display_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1480598555","https://openalex.org/W1480873147","https://openalex.org/W1587123838","https://openalex.org/W1991113069","https://openalex.org/W2028596489","https://openalex.org/W2097324202","https://openalex.org/W2102621940","https://openalex.org/W2114487471","https://openalex.org/W2116040950","https://openalex.org/W2120613650","https://openalex.org/W2121947440","https://openalex.org/W2129390138","https://openalex.org/W2140000690","https://openalex.org/W2167338900","https://openalex.org/W2169783153","https://openalex.org/W3211330693","https://openalex.org/W4241351124","https://openalex.org/W6628806528","https://openalex.org/W6677945368","https://openalex.org/W6678953091"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W1999008862","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2373659438","https://openalex.org/W4313052709"],"abstract_inverted_index":{"Global":[0],"shape":[1,43,59,80,121],"prior":[2,44,60,81,122],"knowledge":[3],"is":[4],"a":[5,41,50],"special":[6],"kind":[7],"of":[8,84,87,117],"semantic":[9],"information":[10],"that":[11],"can":[12,61],"be":[13],"incorporated":[14],"into":[15,49],"an":[16],"image":[17,54],"segmentation":[18,55,83,93,105],"process":[19],"to":[20,82],"handle":[21],"the":[22,65,73,110,115,118],"difficulties":[23],"caused":[24],"by":[25,101],"such":[26],"problems":[27],"as":[28],"occlusion,":[29],"cluttering,":[30],"noise,":[31],"and/or":[32],"low":[33],"contrast":[34],"boundaries.":[35],"In":[36],"this":[37,78],"work,":[38],"we":[39],"propose":[40],"global":[42,58,79,120],"representation":[45],"and":[46,69,99],"incorporate":[47],"it":[48],"level":[51],"set":[52],"based":[53],"framework.":[56],"This":[57],"effectively":[62],"help":[63],"remove":[64],"cluttered":[66],"elongate":[67],"structures":[68],"island-like":[70],"artifacts":[71],"from":[72],"evolving":[74],"contours.":[75],"We":[76],"apply":[77],"three":[85],"sequences":[86],"Electron":[88],"Tomography":[89],"membrane":[90],"images.":[91],"The":[92],"results":[94,106],"are":[95,107],"evaluated":[96],"both":[97],"quantitatively":[98],"qualitatively":[100],"visual":[102],"inspection.":[103],"Accurate":[104],"achieved":[108],"in":[109],"testing":[111],"sequences,":[112],"which":[113],"demonstrates":[114],"capability":[116],"proposed":[119],"representation.":[123]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}