{"id":"https://openalex.org/W2002712878","doi":"https://doi.org/10.1134/s0361768808030055","title":"Segmentation of small objects in color images","display_name":"Segmentation of small objects in color images","publication_year":2008,"publication_date":"2008-05-01","ids":{"openalex":"https://openalex.org/W2002712878","doi":"https://doi.org/10.1134/s0361768808030055","mag":"2002712878"},"language":"en","primary_location":{"id":"doi:10.1134/s0361768808030055","is_oa":false,"landing_page_url":"https://doi.org/10.1134/s0361768808030055","pdf_url":null,"source":{"id":"https://openalex.org/S150218641","display_name":"Programming and Computer Software","issn_l":"0361-7688","issn":["0361-7688","1608-3261","3034-5847"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Programming and Computer Software","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/A5104359848","display_name":"Vladimir L. Arlazarov","orcid":"https://orcid.org/0000-0002-3560-1186"},"institutions":[{"id":"https://openalex.org/I1313323035","display_name":"Russian Academy of Sciences","ror":"https://ror.org/05qrfxd25","country_code":"RU","type":"government","lineage":["https://openalex.org/I1313323035"]},{"id":"https://openalex.org/I4210115688","display_name":"Institute for Systems Analysis","ror":"https://ror.org/02kmet255","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210115688"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"V. L. Arlazarov","raw_affiliation_strings":["Institute of System Analysis, Russian Academy of Sciences, pr. 60-letiya Oktyabrya 9, Moscow, 117312, Russia","Institute of System Analysis, Russian Academy of Sciences, Moscow, Russia 117312#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of System Analysis, Russian Academy of Sciences, pr. 60-letiya Oktyabrya 9, Moscow, 117312, Russia","institution_ids":["https://openalex.org/I1313323035","https://openalex.org/I4210115688"]},{"raw_affiliation_string":"Institute of System Analysis, Russian Academy of Sciences, Moscow, Russia 117312#TAB#","institution_ids":["https://openalex.org/I1313323035"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070956718","display_name":"Marat D. Kazanov","orcid":"https://orcid.org/0000-0002-2314-5507"},"institutions":[{"id":"https://openalex.org/I1313323035","display_name":"Russian Academy of Sciences","ror":"https://ror.org/05qrfxd25","country_code":"RU","type":"government","lineage":["https://openalex.org/I1313323035"]},{"id":"https://openalex.org/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210107660"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"M. D. Kazanov","raw_affiliation_strings":["Kharkevich Institute of Problems of Data Transmission, Russian Academy of Sciences, B. Karetnyi per. 19, Moscow, 127994, Russia","Kharkevich Institute of Problems of Data Transmission, Russian Academy of Sciences, Moscow, Russia 127994"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kharkevich Institute of Problems of Data Transmission, Russian Academy of Sciences, B. Karetnyi per. 19, Moscow, 127994, Russia","institution_ids":["https://openalex.org/I4210107660"]},{"raw_affiliation_string":"Kharkevich Institute of Problems of Data Transmission, Russian Academy of Sciences, Moscow, Russia 127994","institution_ids":["https://openalex.org/I1313323035"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5104359848"],"corresponding_institution_ids":["https://openalex.org/I1313323035","https://openalex.org/I4210115688"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.08276149,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"34","issue":"3","first_page":"173","last_page":"182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9966999888420105,"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":0.9869999885559082,"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/segmentation","display_name":"Segmentation","score":0.7546533942222595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7516118288040161},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7155523300170898},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6826605200767517},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.624724268913269},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.540367066860199},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5329018235206604},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5154765248298645},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.47498244047164917},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.45224225521087646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37052851915359497},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27644267678260803}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7546533942222595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7516118288040161},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7155523300170898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6826605200767517},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.624724268913269},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.540367066860199},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5329018235206604},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5154765248298645},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.47498244047164917},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.45224225521087646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37052851915359497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27644267678260803},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1134/s0361768808030055","is_oa":false,"landing_page_url":"https://doi.org/10.1134/s0361768808030055","pdf_url":null,"source":{"id":"https://openalex.org/S150218641","display_name":"Programming and Computer Software","issn_l":"0361-7688","issn":["0361-7688","1608-3261","3034-5847"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Programming and Computer Software","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1518301830","https://openalex.org/W1585431621","https://openalex.org/W1599786999","https://openalex.org/W1991349032","https://openalex.org/W2009667652","https://openalex.org/W2012223818","https://openalex.org/W2033973976","https://openalex.org/W2050797795","https://openalex.org/W2067191022","https://openalex.org/W2090863578","https://openalex.org/W2096579040","https://openalex.org/W2102035487","https://openalex.org/W2106582716","https://openalex.org/W2118331541","https://openalex.org/W2133003941","https://openalex.org/W2136704614","https://openalex.org/W2136825928","https://openalex.org/W2147469781","https://openalex.org/W2155004074","https://openalex.org/W2169099300","https://openalex.org/W2169467627","https://openalex.org/W3023411394"],"related_works":["https://openalex.org/W2394279717","https://openalex.org/W2364730859","https://openalex.org/W3144569342","https://openalex.org/W2386644571","https://openalex.org/W2368273968","https://openalex.org/W2185902295","https://openalex.org/W2551987074","https://openalex.org/W4281943322","https://openalex.org/W4313052709","https://openalex.org/W2383720950"],"abstract_inverted_index":{"A":[0],"method":[1,67,139],"for":[2,100],"effective":[3],"segmentation":[4,121,133],"of":[5,23,48,52,63,70,77,80,93,103,107,127,146],"small":[6,24,55],"objects":[7,25,56],"in":[8,26],"color":[9,27,78,108,147],"images":[10,28,109],"is":[11,29,88],"presented.":[12],"It":[13],"can":[14,122],"be":[15,123,153],"used":[16],"jointly":[17],"with":[18],"region":[19,129],"growing":[20,130],"algorithms.":[21],"Segmentation":[22],"a":[30,143],"difficult":[31],"problem":[32],"because":[33],"their":[34],"boundaries":[35,92],"are":[36,98,117],"close":[37],"to":[38,90,152],"each":[39],"other.":[40],"The":[41,66,132],"proposed":[42,138],"algorithm":[43,134],"accurately":[44],"determines":[45],"the":[46,49,59,75,81,85,91,101,104,119,128,137],"location":[47],"boundary":[50],"points":[51],"closely":[53],"located":[54],"and":[57,149],"finds":[58],"skeletons":[60],"(seed":[61],"regions)":[62],"those":[64],"objects.":[65,95],"makes":[68],"use":[69],"conditions":[71,97],"obtained":[72],"by":[73],"analyzing":[74],"change":[76],"characteristics":[79],"edge":[82],"pixels":[83],"along":[84],"direction":[86],"that":[87],"orthogonal":[89],"adjacent":[94],"These":[96],"generalized":[99],"case":[102],"well-known":[105],"class":[106],"having":[110],"misregistration":[111],"artifacts.":[112],"If":[113],"high-quality":[114],"seed":[115],"regions":[116],"available,":[118],"final":[120],"performed":[124],"using":[125,142],"one":[126],"methods.":[131],"based":[135],"on":[136],"was":[140],"tested":[141],"large":[144],"number":[145],"images,":[148],"it":[150],"proved":[151],"very":[154],"efficient.":[155]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}