{"id":"https://openalex.org/W2024010084","doi":"https://doi.org/10.1016/s0031-3203(00)00124-2","title":"Segmentation based on fusion of range and intensity images using robust trimmed methods","display_name":"Segmentation based on fusion of range and intensity images using robust trimmed methods","publication_year":2001,"publication_date":"2001-10-01","ids":{"openalex":"https://openalex.org/W2024010084","doi":"https://doi.org/10.1016/s0031-3203(00)00124-2","mag":"2024010084"},"language":"en","primary_location":{"id":"doi:10.1016/s0031-3203(00)00124-2","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0031-3203(00)00124-2","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","raw_type":"journal-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/A5004736641","display_name":"In Su Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"In Su Chang","raw_affiliation_strings":["Department of Electronic Engineering, Sogang University, C.P.O. Box 1142, Seoul 100-611, South Korea","Department of Electronic Engineering, Sogang University C.P.O. Box 1142, Seoul 100-611, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Sogang University, C.P.O. Box 1142, Seoul 100-611, South Korea","institution_ids":["https://openalex.org/I148751991"]},{"raw_affiliation_string":"Department of Electronic Engineering, Sogang University C.P.O. Box 1142, Seoul 100-611, South Korea","institution_ids":["https://openalex.org/I148751991"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027304168","display_name":"Rae\u2010Hong Park","orcid":"https://orcid.org/0000-0002-4792-2980"},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Rae-Hong Park","raw_affiliation_strings":["Department of Electronic Engineering, Sogang University, C.P.O. Box 1142, Seoul 100-611, South Korea","Department of Electronic Engineering, Sogang University C.P.O. Box 1142, Seoul 100-611, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Sogang University, C.P.O. Box 1142, Seoul 100-611, South Korea","institution_ids":["https://openalex.org/I148751991"]},{"raw_affiliation_string":"Department of Electronic Engineering, Sogang University C.P.O. Box 1142, Seoul 100-611, South Korea","institution_ids":["https://openalex.org/I148751991"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027304168"],"corresponding_institution_ids":["https://openalex.org/I148751991"],"apc_list":{"value":2710,"currency":"USD","value_usd":2710},"apc_paid":null,"fwci":2.5652,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.90651578,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"34","issue":"10","first_page":"1951","last_page":"1962"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9977999925613403,"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":0.9977999925613403,"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":0.9976000189781189,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.7145336866378784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7000141739845276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.535997211933136},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5216475129127502},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5112674236297607},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5048688054084778},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.48364007472991943},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.48321592807769775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4343607723712921},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4161442220211029},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4120282530784607},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38029608130455017},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1876046061515808},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11748230457305908},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.08439868688583374}],"concepts":[{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.7145336866378784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7000141739845276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.535997211933136},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5216475129127502},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5112674236297607},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5048688054084778},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.48364007472991943},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.48321592807769775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4343607723712921},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4161442220211029},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4120282530784607},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38029608130455017},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1876046061515808},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11748230457305908},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.08439868688583374},{"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":[],"locations_count":1,"locations":[{"id":"doi:10.1016/s0031-3203(00)00124-2","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0031-3203(00)00124-2","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W109881820","https://openalex.org/W1492723945","https://openalex.org/W1507028917","https://openalex.org/W1554544485","https://openalex.org/W1568281349","https://openalex.org/W1931582241","https://openalex.org/W1998332737","https://openalex.org/W2007914374","https://openalex.org/W2020999234","https://openalex.org/W2074392786","https://openalex.org/W2075690349","https://openalex.org/W2080082398","https://openalex.org/W2080710317","https://openalex.org/W2136584541","https://openalex.org/W2145023731","https://openalex.org/W2165801966"],"related_works":["https://openalex.org/W2097090565","https://openalex.org/W2008444830","https://openalex.org/W2115139357","https://openalex.org/W2804375118","https://openalex.org/W2112506753","https://openalex.org/W2029809897","https://openalex.org/W2132110568","https://openalex.org/W2160831725","https://openalex.org/W1495937069","https://openalex.org/W4233585817"],"abstract_inverted_index":null,"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}