{"id":"https://openalex.org/W2337518763","doi":"https://doi.org/10.1109/icip.2003.1246765","title":"Incorporating complex statistical information in active contour-based image segmentation","display_name":"Incorporating complex statistical information in active contour-based image segmentation","publication_year":2004,"publication_date":"2004-06-03","ids":{"openalex":"https://openalex.org/W2337518763","doi":"https://doi.org/10.1109/icip.2003.1246765","mag":"2337518763"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2003.1246765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1246765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://repository.gatech.edu/bitstreams/c6c00db5-8da8-44d8-91f8-8b046b7eabe1/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101719490","display_name":"Jeehwan Kim","orcid":"https://orcid.org/0000-0002-5686-0582"},"institutions":[{"id":"https://openalex.org/I4210143601","display_name":"Decision Systems (United States)","ror":"https://ror.org/0434dpa13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210143601"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"J. Kim","raw_affiliation_strings":["Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210143601","https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091608832","display_name":"John W. Fisher","orcid":"https://orcid.org/0000-0003-4844-3495"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]},{"id":"https://openalex.org/I4210143601","display_name":"Decision Systems (United States)","ror":"https://ror.org/0434dpa13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210143601"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.W. Fisher","raw_affiliation_strings":["Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210143601","https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017228370","display_name":"M\u00fcjdat \u00c7etin","orcid":"https://orcid.org/0000-0002-9824-1229"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]},{"id":"https://openalex.org/I4210143601","display_name":"Decision Systems (United States)","ror":"https://ror.org/0434dpa13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210143601"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Cetin","raw_affiliation_strings":["Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210143601","https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014124403","display_name":"Anthony Yezzi","orcid":"https://orcid.org/0000-0002-3771-4889"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Yezzi","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107833743","display_name":"Alan S. Willsky","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]},{"id":"https://openalex.org/I4210143601","display_name":"Decision Systems (United States)","ror":"https://ror.org/0434dpa13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210143601"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A.S. Willsky","raw_affiliation_strings":["Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210143601","https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101719490"],"corresponding_institution_ids":["https://openalex.org/I4210143601","https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":2.4958,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90459744,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"II","last_page":"655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9961000084877014,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9879999756813049,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7151005864143372},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.685903012752533},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6382689476013184},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6271184086799622},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6251999139785767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6062184572219849},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.5922316312789917},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.5573950409889221},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5395009517669678},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.527693510055542},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4920181930065155},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4745146632194519},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.43070730566978455},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.410993367433548},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3005039691925049},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13085365295410156}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7151005864143372},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.685903012752533},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6382689476013184},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6271184086799622},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6251999139785767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6062184572219849},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.5922316312789917},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5573950409889221},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5395009517669678},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.527693510055542},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4920181930065155},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4745146632194519},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.43070730566978455},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.410993367433548},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3005039691925049},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13085365295410156},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2003.1246765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1246765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","raw_type":"proceedings-article"},{"id":"pmh:oai:smartech.gatech.edu:1853/48861","is_oa":true,"landing_page_url":"http://hdl.handle.net/1853/48861","pdf_url":"http://repository.gatech.edu/bitstreams/c6c00db5-8da8-44d8-91f8-8b046b7eabe1/download","source":{"id":"https://openalex.org/S4377196313","display_name":"SMARTech Repository (Georgia Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130701444","host_organization_name":"Georgia Institute of Technology","host_organization_lineage":["https://openalex.org/I130701444"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:smartech.gatech.edu:1853/48861","is_oa":true,"landing_page_url":"http://hdl.handle.net/1853/48861","pdf_url":"http://repository.gatech.edu/bitstreams/c6c00db5-8da8-44d8-91f8-8b046b7eabe1/download","source":{"id":"https://openalex.org/S4377196313","display_name":"SMARTech Repository (Georgia Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130701444","host_organization_name":"Georgia Institute of Technology","host_organization_lineage":["https://openalex.org/I130701444"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2337518763.pdf","grobid_xml":"https://content.openalex.org/works/W2337518763.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W1523554224","https://openalex.org/W1547529982","https://openalex.org/W2098152234","https://openalex.org/W2099111195","https://openalex.org/W2141787796","https://openalex.org/W2151443388","https://openalex.org/W6682541157"],"related_works":["https://openalex.org/W4243114048","https://openalex.org/W4237896776","https://openalex.org/W2466816617","https://openalex.org/W4231665652","https://openalex.org/W2000242494","https://openalex.org/W4296826658","https://openalex.org/W1837630526","https://openalex.org/W2168829322","https://openalex.org/W2380607399","https://openalex.org/W2012957732"],"abstract_inverted_index":{"An":[0],"information-theoretic":[1],"method":[2,66],"for":[3,32],"multiphase":[4],"image":[5,50],"segmentation,":[6],"in":[7,53],"an":[8],"active":[9],"contour-based":[10],"framework":[11],"is":[12,16,23,37],"proposed.":[13],"Our":[14],"approach":[15],"based":[17],"on":[18],"nonparametric":[19],"density":[20],"estimates,":[21],"and":[22,48],"able":[24],"to":[25,55,58],"solve":[26],"problems":[27],"involving":[28],"arbitrary":[29],"probability":[30,82],"densities":[31,83],"the":[33,41,45,49,74,81,85,95,98],"region":[34,46],"intensities.":[35],"This":[36],"achieved":[38],"by":[39],"maximizing":[40],"mutual":[42],"information":[43],"between":[44],"labels":[47],"pixel":[51],"intensities,":[52],"order":[54],"segment":[56],"up":[57],"2/sup":[59],"m/":[60],"regions":[61,75],"using":[62],"m":[63],"curves.":[64],"The":[65],"does":[67],"not":[68],"require":[69],"any":[70],"prior":[71],"training":[72],"regarding":[73],"of":[76,97],"interest,":[77],"but":[78],"rather":[79],"learns":[80],"during":[84],"evolution":[86],"process.":[87],"We":[88],"present":[89],"some":[90],"illustrative":[91],"experimental":[92],"results,":[93],"demonstrating":[94],"power":[96],"proposed":[99],"segmentation":[100],"approach.":[101]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
