{"id":"https://openalex.org/W1585141289","doi":"https://doi.org/10.1109/icip.2004.1421866","title":"Background differencing technique for image segmentation based on the status of reference pixels","display_name":"Background differencing technique for image segmentation based on the status of reference pixels","publication_year":2005,"publication_date":"2005-04-19","ids":{"openalex":"https://openalex.org/W1585141289","doi":"https://doi.org/10.1109/icip.2004.1421866","mag":"1585141289"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2004.1421866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2004.1421866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 International Conference on Image Processing, 2004. ICIP '04.","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/A5041106588","display_name":"Toshiyuki Yoshida","orcid":"https://orcid.org/0000-0002-2468-5388"},"institutions":[{"id":"https://openalex.org/I125590103","display_name":"Fukui University of Technology","ror":"https://ror.org/01tm0rr86","country_code":"JP","type":"education","lineage":["https://openalex.org/I125590103"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"T. Yoshida","raw_affiliation_strings":["Department Information Science, Fukui University of Technology, Fukui, Japan","Dept. Inf. Sci., Fukui Univ., Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department Information Science, Fukui University of Technology, Fukui, Japan","institution_ids":["https://openalex.org/I125590103"]},{"raw_affiliation_string":"Dept. Inf. Sci., Fukui Univ., Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5041106588"],"corresponding_institution_ids":["https://openalex.org/I125590103"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"3487","last_page":"3490"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference 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"}}],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.76009202003479},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7326732277870178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7030095458030701},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.690470814704895},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6840771436691284},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5009541511535645},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49493759870529175}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.76009202003479},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7326732277870178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7030095458030701},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.690470814704895},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6840771436691284},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5009541511535645},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49493759870529175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2004.1421866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2004.1421866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 International Conference on Image Processing, 2004. ICIP '04.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.5799999833106995,"display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2002600126","https://openalex.org/W2013759484","https://openalex.org/W2070630810","https://openalex.org/W2161763247","https://openalex.org/W2502894931"],"related_works":["https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2922442631","https://openalex.org/W2168523118","https://openalex.org/W2073639911","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Background":[0],"frame":[1,18],"differencing":[2,113],"is":[3,19,29,45,53],"one":[4,28,114],"of":[5,74,93],"the":[6,43,50,72,81,85,91,94,102,110,116],"most":[7],"efficient,":[8],"image":[9],"segmentation":[10,40,107],"techniques":[11],"in":[12,88],"case":[13],"that":[14,30,46,69,101],"a":[15,33,63],"static":[16],"background":[17,112],"available.":[20],"The":[21,97],"technique,":[22],"however,":[23],"involves":[24],"two":[25],"major":[26],"problems:":[27],"decision":[31],"with":[32,90,115],"single":[34],"global":[35,118],"threshold":[36,52,86],"often":[37],"produces":[38],"poor":[39],"results":[41,99,108],"and":[42],"other":[44],"an":[47],"estimation":[48],"for":[49],"optimal":[51,117],"actually":[54],"difficult.":[55],"To":[56],"overcome":[57],"these":[58],"problems,":[59],"this":[60],"paper":[61],"proposes":[62],"very":[64],"simple":[65,111],"yet":[66],"effective":[67],"algorithm":[68,83],"refers":[70],"to":[71],"status":[73,92],"previously":[75],"judged":[76],"neighboring":[77],"pixels:":[78],"more":[79],"specifically,":[80],"proposed":[82,103],"varies":[84],"value":[87],"accordance":[89],"reference":[95],"pixels.":[96],"experimental":[98],"illustrate":[100],"technique":[104],"gives":[105],"better":[106],"than":[109],"threshold.":[119]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
