{"id":"https://openalex.org/W2014883778","doi":"https://doi.org/10.1109/icip.2010.5651521","title":"Statistically consistent image segmentation","display_name":"Statistically consistent image segmentation","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2014883778","doi":"https://doi.org/10.1109/icip.2010.5651521","mag":"2014883778"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5651521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5651521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5013922631","display_name":"Alexander Aue","orcid":"https://orcid.org/0000-0003-1553-0509"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Aue","raw_affiliation_strings":["Department of Statistics, University of California,\uc2a0Davis, Davis, CA, USA","Department of Statistics, University of California at Davis, 4118 Math Sci Bldg, One Shields Ave, 95616, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California,\uc2a0Davis, Davis, CA, USA","institution_ids":[]},{"raw_affiliation_string":"Department of Statistics, University of California at Davis, 4118 Math Sci Bldg, One Shields Ave, 95616, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049635087","display_name":"Thomas C. M. Lee","orcid":"https://orcid.org/0000-0001-7067-405X"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas C. M. Lee","raw_affiliation_strings":["Department of Statistics, University of California Davis, Davis, CA, USA","Department of Statistics, University of California at Davis, 4118 Math Sci Bldg, One Shields Ave, 95616, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"Department of Statistics, University of California at Davis, 4118 Math Sci Bldg, One Shields Ave, 95616, USA","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11461293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":null,"first_page":"2229","last_page":"2232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9868999719619751,"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":0.986299991607666,"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/image-segmentation","display_name":"Image segmentation","score":0.8118307590484619},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.7240173816680908},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.6778770685195923},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6654043793678284},{"id":"https://openalex.org/keywords/range-segmentation","display_name":"Range segmentation","score":0.6639072895050049},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6500723361968994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.649093508720398},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6089354157447815},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6068336367607117},{"id":"https://openalex.org/keywords/minimum-spanning-tree-based-segmentation","display_name":"Minimum spanning tree-based segmentation","score":0.5959447622299194},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5644656419754028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5481526851654053},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5455659031867981},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5116679668426514},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.46395060420036316},{"id":"https://openalex.org/keywords/infinity","display_name":"Infinity","score":0.45469892024993896},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.45374614000320435},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3723616600036621},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35881346464157104},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07886239886283875},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.05536472797393799}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.8118307590484619},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.7240173816680908},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.6778770685195923},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6654043793678284},{"id":"https://openalex.org/C67561299","wikidata":"https://www.wikidata.org/wiki/Q7292710","display_name":"Range segmentation","level":5,"score":0.6639072895050049},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6500723361968994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.649093508720398},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6089354157447815},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6068336367607117},{"id":"https://openalex.org/C42314347","wikidata":"https://www.wikidata.org/wiki/Q6865488","display_name":"Minimum spanning tree-based segmentation","level":5,"score":0.5959447622299194},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5644656419754028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5481526851654053},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5455659031867981},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5116679668426514},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.46395060420036316},{"id":"https://openalex.org/C7321624","wikidata":"https://www.wikidata.org/wiki/Q205","display_name":"Infinity","level":2,"score":0.45469892024993896},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.45374614000320435},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3723616600036621},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35881346464157104},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07886239886283875},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.05536472797393799},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2010.5651521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5651521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","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":12,"referenced_works":["https://openalex.org/W1533169541","https://openalex.org/W2034230784","https://openalex.org/W2060955827","https://openalex.org/W2086465792","https://openalex.org/W2098152234","https://openalex.org/W2107864516","https://openalex.org/W2112682275","https://openalex.org/W2120269846","https://openalex.org/W2125810909","https://openalex.org/W2133141088","https://openalex.org/W2168652261","https://openalex.org/W4235017482"],"related_works":["https://openalex.org/W2204605857","https://openalex.org/W3196005494","https://openalex.org/W4206358120","https://openalex.org/W2799704911","https://openalex.org/W2188292956","https://openalex.org/W2162746041","https://openalex.org/W2992675616","https://openalex.org/W2344590996","https://openalex.org/W2386159816","https://openalex.org/W4238127125"],"abstract_inverted_index":{"A":[0,78],"long":[1],"studied":[2],"and":[3],"important":[4],"image":[5,9,18,51],"processing":[6],"problem":[7],"is":[8,62,70,82],"segmentation.":[10],"In":[11],"this":[12],"paper":[13],"theoretical":[14,87],"properties":[15],"of":[16,43,55,67],"some":[17],"segmentation":[19],"methods":[20,30,68],"are":[21,26,31],"investigated.":[22],"More":[23],"precisely,":[24],"we":[25],"interested":[27],"if":[28,36],"these":[29],"statistically":[32],"consistent,":[33],"that":[34,69],"is,":[35],"they":[37],"can":[38],"accurately":[39],"recover":[40],"the":[41,50,53,65,73],"number":[42,54],"segments":[44],"together":[45],"with":[46],"their":[47],"boundaries":[48],"in":[49],"as":[52],"pixels":[56],"tends":[57],"to":[58,64,84],"infinity.":[59],"Major":[60],"focus":[61],"given":[63],"class":[66],"based":[71],"on":[72],"minimum":[74],"description":[75],"length":[76],"principle.":[77],"small":[79],"numerical":[80],"experiment":[81],"conducted":[83],"support":[85],"our":[86],"results.":[88]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
