{"id":"https://openalex.org/W330124431","doi":"https://doi.org/10.1109/cvpr.2008.4587430","title":"A Bayesian approach for image segmentation with shape priors","display_name":"A Bayesian approach for image segmentation with shape priors","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W330124431","doi":"https://doi.org/10.1109/cvpr.2008.4587430","mag":"330124431"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"paratext","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://escholarship.org/uc/item/2bm148td","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047619963","display_name":"Hang Chang","orcid":"https://orcid.org/0000-0002-3773-6818"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Hang Chang","raw_affiliation_strings":["Institute of Automation, Chinese Academy and Sciences, China","Lawrence Berkeley\uc2a0National\uc2a0Laboratory, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy and Sciences, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"Lawrence Berkeley\uc2a0National\uc2a0Laboratory, USA","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qing Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Yang","raw_affiliation_strings":["Institute of Automation, Chinese Academy and Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy and Sciences, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"last","author":{"id":null,"display_name":"Bahram Parvin","orcid":null},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bahram Parvin","raw_affiliation_strings":["Lawrence Berkeley\uc2a0National\uc2a0Laboratory, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lawrence Berkeley\uc2a0National\uc2a0Laboratory, USA","institution_ids":["https://openalex.org/I148283060"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047619963"],"corresponding_institution_ids":["https://openalex.org/I148283060","https://openalex.org/I4210094879"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.02253672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":true,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9980000257492065,"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":0.9970999956130981,"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/prior-probability","display_name":"Prior probability","score":0.8086498975753784},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6635914444923401},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6526042819023132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6185799837112427},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5792623162269592},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5276236534118652},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4846697151660919},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.448872834444046},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44659581780433655}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.8086498975753784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6635914444923401},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6526042819023132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6185799837112427},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5792623162269592},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5276236534118652},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4846697151660919},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.448872834444046},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44659581780433655}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/cvpr.2008.4587430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:escholarship.org/ark:/13030/qt2bm148td","is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/2bm148td","pdf_url":"https://escholarship.org/uc/item/2bm148td","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:info:ark/67531/metadc929942","is_oa":false,"landing_page_url":"https://digital.library.unt.edu/ark:/67531/metadc929942/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400792","display_name":"University of North Texas Digital Library (University of North Texas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I123534392","host_organization_name":"University of North Texas","host_organization_lineage":["https://openalex.org/I123534392"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Computer Vision and Pattern Recognition, Anchorage, AK, June 24-26, 2008","raw_type":"Article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.323.6420","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.323.6420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/cvpr2008/conference/data/papers/090.pdf","raw_type":"text"},{"id":"pmh:oai:osti.gov:957402","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/957402","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:qt2bm148td","is_oa":false,"landing_page_url":"http://www.escholarship.org/uc/item/2bm148td","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Chang, Hang. (2009). A Bayesian Approach for Image Segmentation with Shape Priors. Lawrence Berkeley National Laboratory. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/2bm148td","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:escholarship.org/ark:/13030/qt2bm148td","is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/2bm148td","pdf_url":"https://escholarship.org/uc/item/2bm148td","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1286236842","display_name":null,"funder_award_id":"-AC02-05CH11231","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G3083819904","display_name":null,"funder_award_id":"05CH11231","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G6348972864","display_name":null,"funder_award_id":"AC02-05CH11231","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G6558272803","display_name":null,"funder_award_id":"DE-AC02","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G969889393","display_name":null,"funder_award_id":"DE-AC02-","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W330124431.pdf","grobid_xml":"https://content.openalex.org/works/W330124431.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W79315950","https://openalex.org/W1554489567","https://openalex.org/W1991113069","https://openalex.org/W2020999234","https://openalex.org/W2090359754","https://openalex.org/W2101309634","https://openalex.org/W2106774121","https://openalex.org/W2113137767","https://openalex.org/W2116040950","https://openalex.org/W2129390138","https://openalex.org/W2134820502","https://openalex.org/W2140502500","https://openalex.org/W2143516773","https://openalex.org/W2169527406","https://openalex.org/W2169551590","https://openalex.org/W2171011709","https://openalex.org/W4234235766","https://openalex.org/W4248635988"],"related_works":["https://openalex.org/W1669643531","https://openalex.org/W2159066190","https://openalex.org/W2122581818","https://openalex.org/W2739874619","https://openalex.org/W2110230079","https://openalex.org/W2117933325","https://openalex.org/W2117664411","https://openalex.org/W1721780360","https://openalex.org/W1967061043","https://openalex.org/W2965422042"],"abstract_inverted_index":{"Color":[0],"and":[1,49,97,116],"texture":[2,63],"have":[3],"been":[4],"widely":[5],"used":[6],"in":[7,74,80],"image":[8,31],"segmentation;":[9],"however,":[10],"their":[11],"performance":[12],"is":[13],"often":[14],"hindered":[15],"by":[16],"scene":[17],"ambiguities,":[18,48],"overlapping":[19],"objects,":[20],"or":[21],"missing":[22],"parts.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27],"propose":[28],"an":[29],"interactive":[30],"segmentation":[32,59,78,100],"approach":[33,72],"with":[34,85],"shape":[35,53,87],"prior":[36],"models":[37],"within":[38],"a":[39,81,112],"Bayesian":[40,83,95],"framework.":[41],"Interactive":[42],"features,":[43],"through":[44,101],"mouse":[45],"strokes,":[46],"reduce":[47],"the":[50,58,77,94,106],"incorporation":[51],"of":[52,57,70,93,108,114],"priors":[54],"enhances":[55],"quality":[56],"where":[60],"color":[61],"and/or":[62],"are":[64,73],"not":[65],"solely":[66],"adequate.":[67],"The":[68],"novelties":[69],"our":[71,109],"(i)":[75],"formulating":[76],"problem":[79],"well-defined":[82],"framework":[84],"multiple":[86],"priors,":[88],"(ii)":[89],"efficiently":[90],"estimating":[91],"parameters":[92],"model,":[96],"(iii)":[98],"multi-object":[99],"user-specified":[102],"priors.":[103],"We":[104],"demonstrate":[105],"effectiveness":[107],"method":[110],"on":[111],"set":[113],"natural":[115],"synthetic":[117],"images.":[118]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}
