{"id":"https://openalex.org/W2056696103","doi":"https://doi.org/10.2478/v10006-010-0054-y","title":"Integrated region-based segmentation using color components and texture features with prior shape knowledge","display_name":"Integrated region-based segmentation using color components and texture features with prior shape knowledge","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2056696103","doi":"https://doi.org/10.2478/v10006-010-0054-y","mag":"2056696103"},"language":"en","primary_location":{"id":"doi:10.2478/v10006-010-0054-y","is_oa":true,"landing_page_url":"https://doi.org/10.2478/v10006-010-0054-y","pdf_url":"https://sciendo.com/pdf/10.2478/v10006-010-0054-y","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://sciendo.com/pdf/10.2478/v10006-010-0054-y","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079272358","display_name":"Mehryar Emambakhsh","orcid":"https://orcid.org/0000-0001-6416-7668"},"institutions":[{"id":"https://openalex.org/I107853901","display_name":"Sahand University of Technology","ror":"https://ror.org/03wdrmh81","country_code":"IR","type":"education","lineage":["https://openalex.org/I107853901"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mehryar Emambakhsh","raw_affiliation_strings":["Faculty of Electrical Engineering Sahand University of Technology, Sahand New City, Tabriz, Iran","Faculty of Electrical Engineering, Sahand University of Technology, Sahand New City, Tabriz, Iran#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering Sahand University of Technology, Sahand New City, Tabriz, Iran","institution_ids":["https://openalex.org/I107853901"]},{"raw_affiliation_string":"Faculty of Electrical Engineering, Sahand University of Technology, Sahand New City, Tabriz, Iran#TAB#","institution_ids":["https://openalex.org/I107853901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003840980","display_name":"Hossein Ebrahimnezhad","orcid":"https://orcid.org/0000-0003-4071-2750"},"institutions":[{"id":"https://openalex.org/I107853901","display_name":"Sahand University of Technology","ror":"https://ror.org/03wdrmh81","country_code":"IR","type":"education","lineage":["https://openalex.org/I107853901"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hossein Ebrahimnezhad","raw_affiliation_strings":["Faculty of Electrical Engineering Sahand University of Technology, Sahand New City, Tabriz, Iran","Faculty of Electrical Engineering, Sahand University of Technology, Sahand New City, Tabriz, Iran#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering Sahand University of Technology, Sahand New City, Tabriz, Iran","institution_ids":["https://openalex.org/I107853901"]},{"raw_affiliation_string":"Faculty of Electrical Engineering, Sahand University of Technology, Sahand New City, Tabriz, Iran#TAB#","institution_ids":["https://openalex.org/I107853901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024538069","display_name":"Mohammad Hossein Sedaaghi","orcid":"https://orcid.org/0000-0001-6937-9176"},"institutions":[{"id":"https://openalex.org/I107853901","display_name":"Sahand University of Technology","ror":"https://ror.org/03wdrmh81","country_code":"IR","type":"education","lineage":["https://openalex.org/I107853901"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Sedaaghi","raw_affiliation_strings":["Faculty of Electrical Engineering Sahand University of Technology, Sahand New City, Tabriz, Iran","Faculty of Electrical Engineering, Sahand University of Technology, Sahand New City, Tabriz, Iran#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering Sahand University of Technology, Sahand New City, Tabriz, Iran","institution_ids":["https://openalex.org/I107853901"]},{"raw_affiliation_string":"Faculty of Electrical Engineering, Sahand University of Technology, Sahand New City, Tabriz, Iran#TAB#","institution_ids":["https://openalex.org/I107853901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I107853901"],"apc_list":{"value":4080,"currency":"PLN","value_usd":1100},"apc_paid":{"value":4080,"currency":"PLN","value_usd":1100},"fwci":0.6347,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70521159,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"20","issue":"4","first_page":"711","last_page":"726"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9983000159263611,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976999759674072,"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":0.8323230743408203},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6891650557518005},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6354383230209351},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6167775988578796},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6009032726287842},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5826090574264526},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5813133120536804},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5797322392463684},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5548593997955322},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5144258141517639},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.50888991355896},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.4829208552837372},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4425247311592102},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.204362690448761},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1940946877002716}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8323230743408203},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6891650557518005},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6354383230209351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6167775988578796},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6009032726287842},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5826090574264526},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5813133120536804},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5797322392463684},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5548593997955322},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5144258141517639},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.50888991355896},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.4829208552837372},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4425247311592102},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.204362690448761},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1940946877002716},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2478/v10006-010-0054-y","is_oa":true,"landing_page_url":"https://doi.org/10.2478/v10006-010-0054-y","pdf_url":"https://sciendo.com/pdf/10.2478/v10006-010-0054-y","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.390.3332","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.390.3332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://matwbn.icm.edu.pl/ksiazki/amc/amc20/amc2049.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.2478/v10006-010-0054-y","is_oa":true,"landing_page_url":"https://doi.org/10.2478/v10006-010-0054-y","pdf_url":"https://sciendo.com/pdf/10.2478/v10006-010-0054-y","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Mathematics and Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2056696103.pdf","grobid_xml":"https://content.openalex.org/works/W2056696103.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W79315950","https://openalex.org/W1501640207","https://openalex.org/W1508960934","https://openalex.org/W1511024053","https://openalex.org/W1535206831","https://openalex.org/W1928630823","https://openalex.org/W1991113069","https://openalex.org/W1996806850","https://openalex.org/W2005428336","https://openalex.org/W2010436308","https://openalex.org/W2012742622","https://openalex.org/W2016670346","https://openalex.org/W2024060531","https://openalex.org/W2054875385","https://openalex.org/W2066584109","https://openalex.org/W2070895459","https://openalex.org/W2085610308","https://openalex.org/W2086754031","https://openalex.org/W2091340431","https://openalex.org/W2100115174","https://openalex.org/W2100855835","https://openalex.org/W2104095591","https://openalex.org/W2106582716","https://openalex.org/W2107018568","https://openalex.org/W2107696950","https://openalex.org/W2108077184","https://openalex.org/W2110874924","https://openalex.org/W2118390174","https://openalex.org/W2124260943","https://openalex.org/W2136704614","https://openalex.org/W2137676365","https://openalex.org/W2144152057","https://openalex.org/W2147484997","https://openalex.org/W2148294120","https://openalex.org/W2150134853","https://openalex.org/W2152150600","https://openalex.org/W2155343350","https://openalex.org/W2158043158","https://openalex.org/W2256578114","https://openalex.org/W2904250082","https://openalex.org/W2986132491","https://openalex.org/W3023540311","https://openalex.org/W4212783130","https://openalex.org/W6656506093","https://openalex.org/W6676652112"],"related_works":["https://openalex.org/W2566648451","https://openalex.org/W1840273037","https://openalex.org/W2007664797","https://openalex.org/W2055194006","https://openalex.org/W75464431","https://openalex.org/W2125401478","https://openalex.org/W1541135074","https://openalex.org/W2108449537","https://openalex.org/W2108413430","https://openalex.org/W1988767754"],"abstract_inverted_index":{"Integrated":[0],"region-based":[1],"segmentation":[2,45,202],"using":[3],"color":[4,59,117,131],"components":[5,60,132],"and":[6,43,61,70,109,133,181,190,199,203],"texture":[7],"features":[8],"with":[9,179],"prior":[10,79],"shape":[11,112],"knowledge":[12,80],"Segmentation":[13],"is":[14,46,104,120,136,160,195],"the":[15,74,82,147,157,164,175,186],"art":[16],"of":[17,30,38,48,81,84,130,146,149,174,188],"partitioning":[18],"an":[19,123],"image":[20,53,201],"into":[21],"different":[22,144],"regions":[23],"where":[24],"each":[25],"one":[26,47],"has":[27,86],"some":[28,64],"degree":[29],"uniformity":[31],"in":[32,90,97,185,197,205],"its":[33,183],"feature":[34],"space.":[35],"A":[36],"number":[37],"methods":[39],"have":[40],"been":[41],"proposed":[42,105,176,193],"blind":[44],"them.":[49],"It":[50],"uses":[51],"intrinsic":[52],"features,":[54],"such":[55],"as":[56],"pixel":[57],"intensity,":[58],"texture.":[62],"However,":[63],"virtues,":[65],"like":[66],"poor":[67],"contrast,":[68],"noise":[69,189],"occlusion,":[71],"can":[72],"weaken":[73],"procedure.":[75],"To":[76],"overcome":[77],"them,":[78],"object":[83,148],"interest":[85],"to":[87,162],"be":[88],"incorporated":[89],"a":[91,100,116,152,171],"top-down":[92,110],"procedure":[93],"for":[94],"segmentation.":[95],"Consequently,":[96],"this":[98],"work,":[99],"novel":[101],"integrated":[102],"algorithm":[103,194],"combining":[106],"bottom-up":[107],"(blind)":[108],"(including":[111],"prior)":[113],"techniques.":[114],"First,":[115],"space":[118],"transformation":[119],"performed.":[121],"Then,":[122],"energy":[124,165],"function":[125],"(based":[126,155],"on":[127,156],"nonlinear":[128],"diffusion":[129],"directional":[134],"derivatives)":[135],"defined.":[137],"Next,":[138],"signeddistance":[139],"functions":[140],"are":[141],"generated":[142],"from":[143],"shapes":[145],"interest.":[150],"Finally,":[151],"variational":[153],"framework":[154],"level":[158],"set)":[159],"employed":[161],"minimize":[163],"function.":[166],"The":[167,192],"experimental":[168],"results":[169],"demonstrate":[170],"good":[172],"performance":[173],"method":[177],"compared":[178],"others":[180],"show":[182],"robustness":[184],"presence":[187],"occlusion.":[191],"applicable":[196],"outdoor":[198],"medical":[200],"also":[204],"optical":[206],"character":[207],"recognition":[208],"(OCR).":[209]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}