{"id":"https://openalex.org/W2329610432","doi":"https://doi.org/10.4018/ijisss.2016040105","title":"Towards a Faster Image Segmentation Using the K-means Algorithm on Grayscale Histogram","display_name":"Towards a Faster Image Segmentation Using the K-means Algorithm on Grayscale Histogram","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2329610432","doi":"https://doi.org/10.4018/ijisss.2016040105","mag":"2329610432"},"language":"en","primary_location":{"id":"doi:10.4018/ijisss.2016040105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijisss.2016040105","pdf_url":null,"source":{"id":"https://openalex.org/S160826262","display_name":"International Journal of Information Systems in the Service Sector","issn_l":"1935-5688","issn":["1935-5688","1935-5696"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Systems in the Service Sector","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/A5016958054","display_name":"Lamine Benrais","orcid":null},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Lamine Benrais","raw_affiliation_strings":["LRIA Laboratory, Computer Science Department, University of Science and Technology Houari Boumediene, Algiers, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LRIA Laboratory, Computer Science Department, University of Science and Technology Houari Boumediene, Algiers, Algeria","institution_ids":["https://openalex.org/I157169809"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066034327","display_name":"Nadia Baha","orcid":null},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Nadia Baha","raw_affiliation_strings":["LRIA Laboratory, Computer Science Department, University of Science and Technology Houari Boumediene, Algiers, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LRIA Laboratory, Computer Science Department, University of Science and Technology Houari Boumediene, Algiers, Algeria","institution_ids":["https://openalex.org/I157169809"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.169,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54375658,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":"2","first_page":"57","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9983999729156494,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9965000152587891,"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/grayscale","display_name":"Grayscale","score":0.9052233695983887},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.8195199966430664},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7313326001167297},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6007511615753174},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5819477438926697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5649075508117676},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5078538060188293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4948956370353699},{"id":"https://openalex.org/keywords/histogram-matching","display_name":"Histogram matching","score":0.456473171710968},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.43928009271621704},{"id":"https://openalex.org/keywords/image-histogram","display_name":"Image histogram","score":0.4212493300437927},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4155958890914917},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3346788287162781},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3200392425060272},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.1507917046546936}],"concepts":[{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.9052233695983887},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.8195199966430664},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7313326001167297},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6007511615753174},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5819477438926697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5649075508117676},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5078538060188293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4948956370353699},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.456473171710968},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43928009271621704},{"id":"https://openalex.org/C62725073","wikidata":"https://www.wikidata.org/wiki/Q1771663","display_name":"Image histogram","level":5,"score":0.4212493300437927},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4155958890914917},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3346788287162781},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3200392425060272},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.1507917046546936}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijisss.2016040105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijisss.2016040105","pdf_url":null,"source":{"id":"https://openalex.org/S160826262","display_name":"International Journal of Information Systems in the Service Sector","issn_l":"1935-5688","issn":["1935-5688","1935-5696"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Systems in the Service Sector","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jisss0:v:8:y:2016:i:2:p:57-69","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISSS.2016040105","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1973965874","https://openalex.org/W1986007546","https://openalex.org/W1992419399","https://openalex.org/W1995450389","https://openalex.org/W1996118086","https://openalex.org/W1998739300","https://openalex.org/W2011430131","https://openalex.org/W2012929417","https://openalex.org/W2017100743","https://openalex.org/W2034024435","https://openalex.org/W2044436985","https://openalex.org/W2045964207","https://openalex.org/W2048442462","https://openalex.org/W2053677366","https://openalex.org/W2062112832","https://openalex.org/W2097309828","https://openalex.org/W2098633863","https://openalex.org/W2108399535","https://openalex.org/W2121927366","https://openalex.org/W2132573196","https://openalex.org/W2134089414","https://openalex.org/W2142431032","https://openalex.org/W2164947855","https://openalex.org/W2168088676","https://openalex.org/W2170661374"],"related_works":["https://openalex.org/W2066185872","https://openalex.org/W2065866067","https://openalex.org/W1555939286","https://openalex.org/W1979012573","https://openalex.org/W2375849557","https://openalex.org/W2152100107","https://openalex.org/W1994838069","https://openalex.org/W2109325523","https://openalex.org/W2110241600","https://openalex.org/W4239902432"],"abstract_inverted_index":{"The":[0,64],"K-means":[1,31,48,78,103],"is":[2,18,39,86],"a":[3,52,105],"popular":[4],"clustering":[5],"algorithm":[6,32,49],"known":[7],"for":[8,104],"its":[9,21],"simplicity":[10],"and":[11,88,111,120],"efficiency.":[12],"However":[13],"the":[14,27,30,42,47,61,70,73,77,80,83,90,94,97,102,118,123],"elapsed":[15,45],"computation":[16,43],"time":[17,44,113],"one":[19],"of":[20,57,68,72,109,122],"main":[22,65],"weaknesses.":[23],"In":[24],"this":[25],"paper,":[26],"authors":[28,95],"use":[29,96],"to":[33,40,100,116],"segment":[34],"grayscale":[35,53],"images.":[36],"Their":[37],"aim":[38],"reduce":[41],"in":[46,59],"by":[50],"using":[51],"histogram":[54,71,81],"without":[55],"loss":[56],"accuracy":[58,110],"calculating":[60,69],"clusters":[62,91,98],"centers.":[63],"idea":[66],"consists":[67],"original":[74],"image,":[75],"applying":[76],"on":[79],"until":[82],"equilibrium":[84],"state":[85],"reached,":[87],"computing":[89],"centers":[92,99],"then":[93],"run":[101],"single":[106],"iteration.":[107],"Tests":[108],"computational":[112],"are":[114],"presented":[115],"show":[117],"advantages":[119],"inconveniences":[121],"proposed":[124],"method.":[125]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}