{"id":"https://openalex.org/W2569588739","doi":"https://doi.org/10.1007/978-3-319-51281-5_35","title":"Histogram Thresholding for Automatic Color Segmentation Based on k-means Clustering","display_name":"Histogram Thresholding for Automatic Color Segmentation Based on k-means Clustering","publication_year":2016,"publication_date":"2016-12-29","ids":{"openalex":"https://openalex.org/W2569588739","doi":"https://doi.org/10.1007/978-3-319-51281-5_35","mag":"2569588739"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-51281-5_35","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-51281-5_35","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-51281-5_35","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010859493","display_name":"Adhi Prahara","orcid":null},"institutions":[{"id":"https://openalex.org/I2608206482","display_name":"Universitas Ahmad Dahlan","ror":"https://ror.org/03hn13397","country_code":"ID","type":"education","lineage":["https://openalex.org/I2608206482"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Adhi Prahara","raw_affiliation_strings":["Informatics Department, Universitas Ahmad Dahlan, Yogyakarta, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Informatics Department, Universitas Ahmad Dahlan, Yogyakarta, Indonesia","institution_ids":["https://openalex.org/I2608206482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061548446","display_name":"Iwan Tri Riyadi Yanto","orcid":"https://orcid.org/0000-0001-6477-1697"},"institutions":[{"id":"https://openalex.org/I2608206482","display_name":"Universitas Ahmad Dahlan","ror":"https://ror.org/03hn13397","country_code":"ID","type":"education","lineage":["https://openalex.org/I2608206482"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Iwan Tri Riyadi Yanto","raw_affiliation_strings":["Information System Department, Universitas Ahmad Dahlan, Yogyakarta, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information System Department, Universitas Ahmad Dahlan, Yogyakarta, Indonesia","institution_ids":["https://openalex.org/I2608206482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084810449","display_name":"Tutut Herawan","orcid":"https://orcid.org/0000-0001-9262-9137"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Tutut Herawan","raw_affiliation_strings":["Department of Information Systems, University of Malaya, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems, University of Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010859493"],"corresponding_institution_ids":["https://openalex.org/I2608206482"],"apc_list":null,"apc_paid":null,"fwci":0.2012,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.57250903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"344","last_page":"354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9987999796867371,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9987999796867371,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9961000084877014,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9951000213623047,"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":0.77824866771698},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.6891125440597534},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6727970838546753},{"id":"https://openalex.org/keywords/color-normalization","display_name":"Color normalization","score":0.6467959880828857},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.6298624277114868},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5960582494735718},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5725293159484863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.558571994304657},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5278503894805908},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.521001398563385},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.5136272311210632},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4649321734905243},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.45582354068756104},{"id":"https://openalex.org/keywords/chromatic-scale","display_name":"Chromatic scale","score":0.448780357837677},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37306758761405945},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.3243557810783386},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13066256046295166},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1285298466682434}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.77824866771698},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.6891125440597534},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6727970838546753},{"id":"https://openalex.org/C44404184","wikidata":"https://www.wikidata.org/wiki/Q5148620","display_name":"Color normalization","level":5,"score":0.6467959880828857},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.6298624277114868},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5960582494735718},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5725293159484863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.558571994304657},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5278503894805908},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.521001398563385},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.5136272311210632},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4649321734905243},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.45582354068756104},{"id":"https://openalex.org/C196956537","wikidata":"https://www.wikidata.org/wiki/Q202021","display_name":"Chromatic scale","level":2,"score":0.448780357837677},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37306758761405945},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.3243557810783386},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13066256046295166},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1285298466682434},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-51281-5_35","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-51281-5_35","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-51281-5_35","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-51281-5_35","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1493454437","https://openalex.org/W1551231741","https://openalex.org/W2022201359","https://openalex.org/W2059515884","https://openalex.org/W2069868433","https://openalex.org/W2077747248","https://openalex.org/W2108736578","https://openalex.org/W2127042504","https://openalex.org/W2136659826","https://openalex.org/W2139662573","https://openalex.org/W2142796063","https://openalex.org/W2148725503","https://openalex.org/W2155368608","https://openalex.org/W2999729612","https://openalex.org/W4252813286"],"related_works":["https://openalex.org/W1597132678","https://openalex.org/W2354812287","https://openalex.org/W2129615465","https://openalex.org/W2170563037","https://openalex.org/W2396115542","https://openalex.org/W2382814550","https://openalex.org/W4231893945","https://openalex.org/W2368677052","https://openalex.org/W2047344228","https://openalex.org/W2078904092"],"abstract_inverted_index":{"Color":[0],"segmentation":[1],"method":[2,33,44,130],"has":[3],"been":[4],"proposed":[5,129],"and":[6,39,51,68,116,140],"developed":[7],"by":[8],"many":[9],"researchers,":[10],"however":[11],"it":[12],"still":[13],"become":[14],"a":[15,32],"challenging":[16],"topic":[17],"on":[18,26,54,136,146],"how":[19],"to":[20,34,63,69,93,111,133],"automatically":[21],"segment":[22,94],"color":[23,27,38,41,72,75,84,100,121],"image":[24],"based":[25],"information.":[28],"This":[29],"research":[30],"proposes":[31],"estimate":[35],"number":[36],"of":[37,120],"performs":[40],"segmentation.":[42],"The":[43,104,124],"initiates":[45],"cluster":[46,66,106,114],"centers":[47,67],"using":[48,77,101,109],"histogram":[49],"thresholding":[50],"peak":[52],"selection":[53],"CIE":[55],"L*a*b*":[56],"chromatic":[57],"channels.":[58],"k":[59],"-means":[60],"is":[61,107,144],"performed":[62],"find":[64],"optimal":[65],"assign":[70],"each":[71],"data":[73],"into":[74],"labels":[76,85],"previously":[78],"estimated":[79],"clusters":[80],"centers.":[81],"Finally,":[82],"initial":[83],"can":[86],"be":[87],"split":[88],"or":[89,98],"merge":[90],"in":[91],"order":[92],"black,":[95],"dark,":[96],"bright,":[97],"white":[99],"luminosity":[102],"histogram.":[103],"final":[105],"evaluated":[108],"silhouette":[110,142],"measure":[112],"the":[113,118,128],"quality":[115],"calculate":[117],"accuracy":[119,135],"label":[122],"prediction.":[123],"result":[125],"shows":[126],"that":[127],"achieves":[131],"up":[132],"85%":[134],"20":[137],"test":[138,148],"images":[139],"average":[141],"value":[143],"0.694":[145],"25":[147],"images.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}