{"id":"https://openalex.org/W2101386254","doi":"https://doi.org/10.1109/icip.2009.5413720","title":"Color quantization using principal components for initialization of Kohonen SOFM","display_name":"Color quantization using principal components for initialization of Kohonen SOFM","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2101386254","doi":"https://doi.org/10.1109/icip.2009.5413720","mag":"2101386254"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5413720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-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/A5086167151","display_name":"Dimitris Mavridis","orcid":"https://orcid.org/0000-0003-1041-4592"},"institutions":[{"id":"https://openalex.org/I147962203","display_name":"Democritus University of Thrace","ror":"https://ror.org/03bfqnx40","country_code":"GR","type":"education","lineage":["https://openalex.org/I147962203"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitris Mavridis","raw_affiliation_strings":["Image Processing and Multimedia Laboratory, Department of Electrical & Computer Engineering, Democritus University of Thrace, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing and Multimedia Laboratory, Department of Electrical & Computer Engineering, Democritus University of Thrace, Greece","institution_ids":["https://openalex.org/I147962203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109991926","display_name":"Nikos Papamarkos","orcid":"https://orcid.org/0000-0003-2730-0006"},"institutions":[{"id":"https://openalex.org/I147962203","display_name":"Democritus University of Thrace","ror":"https://ror.org/03bfqnx40","country_code":"GR","type":"education","lineage":["https://openalex.org/I147962203"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikos Papamarkos","raw_affiliation_strings":["Image Processing and Multimedia Laboratory, Department of Electrical & Computer Engineering, Democritus University of Thrace, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing and Multimedia Laboratory, Department of Electrical & Computer Engineering, Democritus University of Thrace, Greece","institution_ids":["https://openalex.org/I147962203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I147962203"],"apc_list":null,"apc_paid":null,"fwci":1.3324,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84685738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"1633","last_page":"1636"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9807999730110168,"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/T10057","display_name":"Face and Expression Recognition","score":0.9731000065803528,"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/initialization","display_name":"Initialization","score":0.8490917682647705},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7358430027961731},{"id":"https://openalex.org/keywords/color-quantization","display_name":"Color quantization","score":0.7294264435768127},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7292370200157166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7190256118774414},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7049493789672852},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6319867372512817},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49565303325653076},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4904341399669647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4827515482902527},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.46340489387512207},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4170917868614197},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.3392525315284729},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2920955419540405},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24289736151695251},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.17653125524520874}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.8490917682647705},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7358430027961731},{"id":"https://openalex.org/C173752661","wikidata":"https://www.wikidata.org/wiki/Q1396414","display_name":"Color quantization","level":5,"score":0.7294264435768127},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7292370200157166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7190256118774414},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7049493789672852},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6319867372512817},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49565303325653076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4904341399669647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4827515482902527},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.46340489387512207},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4170917868614197},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.3392525315284729},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2920955419540405},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24289736151695251},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.17653125524520874},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2009.5413720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","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":32,"referenced_works":["https://openalex.org/W187461941","https://openalex.org/W1555711139","https://openalex.org/W1679913846","https://openalex.org/W1970185537","https://openalex.org/W1971707777","https://openalex.org/W1990517717","https://openalex.org/W1998831124","https://openalex.org/W2010150441","https://openalex.org/W2012611887","https://openalex.org/W2024914022","https://openalex.org/W2038128936","https://openalex.org/W2081684581","https://openalex.org/W2086105817","https://openalex.org/W2090327829","https://openalex.org/W2108901453","https://openalex.org/W2111309069","https://openalex.org/W2113076747","https://openalex.org/W2114187834","https://openalex.org/W2115581864","https://openalex.org/W2117254637","https://openalex.org/W2124776405","https://openalex.org/W2143807890","https://openalex.org/W2147704399","https://openalex.org/W2153290755","https://openalex.org/W2159887832","https://openalex.org/W2168214057","https://openalex.org/W3000042338","https://openalex.org/W4237222446","https://openalex.org/W4239825352","https://openalex.org/W6607564069","https://openalex.org/W6677259823","https://openalex.org/W6678851513"],"related_works":["https://openalex.org/W1535068481","https://openalex.org/W2078566741","https://openalex.org/W2809734899","https://openalex.org/W42864255","https://openalex.org/W1964581525","https://openalex.org/W3133138837","https://openalex.org/W1044153278","https://openalex.org/W2139870842","https://openalex.org/W3035384921","https://openalex.org/W2028198376"],"abstract_inverted_index":{"A":[0],"new":[1],"method":[2,23,131],"is":[3,69],"proposed":[4,130],"for":[5,17],"initializing":[6],"Kohonen's":[7],"self-organizing":[8],"feature":[9],"maps":[10],"(SOFM)":[11],"of":[12,30,39,42,52,62,74,92,111,121],"fixed":[13,112],"zero":[14,113],"neighborhood":[15,114],"radius":[16,115],"use":[18],"in":[19],"color":[20,48,119,143],"quantization.":[21],"The":[22,50,102],"employs":[24],"the":[25,31,36,45,53,58,63,72,75,80,84,93,98,108,118,122,129],"two":[26,85],"largest":[27,86],"principal":[28,60,87,100],"components":[29,88],"input":[32,46,64,76],"image":[33,47,77,95],"so":[34],"that":[35,116,128],"initial":[37],"weights":[38],"a":[40],"number":[41],"neurons":[43,54],"approach":[44],"distribution.":[49],"rest":[51],"are":[55],"initialized":[56],"using":[57],"smallest":[59,99],"component":[61],"image.":[65,124],"Namely,":[66],"standard":[67,139],"SOFM":[68,110,140],"applied":[70],"to":[71,90],"projection":[73],"pixels":[78,91],"onto":[79],"plane":[81],"spanned":[82],"by":[83,97],"and":[89,141],"original":[94,123],"defined":[96],"component.":[101],"neuron":[103],"values":[104],"which":[105],"emerge":[106],"initialize":[107],"final":[109],"performs":[117],"quantization":[120,136,144],"Experimental":[125],"results":[126],"show":[127],"can":[132],"often":[133],"produce":[134],"smaller":[135],"errors":[137],"than":[138],"other":[142],"methods.":[145]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
