{"id":"https://openalex.org/W2003114571","doi":"https://doi.org/10.4018/ijcvip.2013010102","title":"A Time Efficient Clustering Algorithm for Gray Scale Image Segmentation","display_name":"A Time Efficient Clustering Algorithm for Gray Scale Image Segmentation","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2003114571","doi":"https://doi.org/10.4018/ijcvip.2013010102","mag":"2003114571"},"language":"en","primary_location":{"id":"doi:10.4018/ijcvip.2013010102","doi":"https://doi.org/10.4018/ijcvip.2013010102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijcvip.2013010102","pdf_url":null,"source":{"id":"https://openalex.org/S4210177549","display_name":"International Journal of Computer Vision and Image Processing","issn_l":"2155-6989","issn":["2155-6989","2155-6997"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"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 Computer Vision and Image Processing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5055610777","display_name":"Nihar Ranjan Nayak","orcid":"https://orcid.org/0000-0002-8821-9896","observed_orcids":["https://orcid.org/0000-0002-8821-9896"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nihar Ranjan Nayak","raw_affiliation_strings":["Silicon Institute of Technology, Bhubaneswar, Odisha, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Silicon Institute of Technology, Bhubaneswar, Odisha, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030487561","display_name":"Bikram Keshari Mishra","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bikram Keshari Mishra","raw_affiliation_strings":["Silicon Institute of Technology, Bhubaneswar, Odisha, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Silicon Institute of Technology, Bhubaneswar, Odisha, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024821102","display_name":"Amiya Kumar Rath","orcid":"https://orcid.org/0000-0002-9956-6973","observed_orcids":["https://orcid.org/0000-0002-9956-6973"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amiya Kumar Rath","raw_affiliation_strings":["Dhaneswar Rath Institute of Engineering & Management Studies, Cuttack, Odisha, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dhaneswar Rath Institute of Engineering & Management Studies, Cuttack, Odisha, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045993269","display_name":"Sagarika Swain","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sagarika Swain","raw_affiliation_strings":["Koustav Institute of Self Domain, Bhubaneswar, Odisha, India","Koustav Institute of Self Domain, Bhubaneswar, Odisha, India#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Koustav Institute of Self Domain, Bhubaneswar, Odisha, India","institution_ids":[]},{"raw_affiliation_string":"Koustav Institute of Self Domain, Bhubaneswar, Odisha, India#TAB#","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2758,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.57327961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":96},"biblio":{"volume":"3","issue":"1","first_page":"22","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9771000146865845,"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":0.9771000146865845,"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":0.015300000086426735,"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/T13674","display_name":"Computer Science and Engineering","score":0.0020000000949949026,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/image-segmentation","display_name":"image segmentation","score":0.875},{"id":"https://openalex.org/keywords/grayscale-images","display_name":"grayscale images","score":0.9459999799728394},{"id":"https://openalex.org/keywords/clustering-algorithms","display_name":"clustering algorithms","score":0.9399999976158142},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"K-means clustering","score":0.7680000066757202},{"id":"https://openalex.org/keywords/watershed-segmentation","display_name":"watershed segmentation","score":0.8859999775886536},{"id":"https://openalex.org/keywords/structural-content","display_name":"structural content","score":0.9139999747276306},{"id":"https://openalex.org/keywords/psnr","display_name":"PSNR","score":0.8840000033378601},{"id":"https://openalex.org/keywords/root-mean-square-error","display_name":"root mean square error","score":0.9259999990463257},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.7540000081062317}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.707076907157898},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.696491003036499},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6466267108917236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6403288841247559},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.6045389175415039},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.6039279699325562},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6007740497589111},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5712948441505432},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.5424140691757202},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5306320190429688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4812704920768738},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.473834365606308},{"id":"https://openalex.org/C150547873","wikidata":"https://www.wikidata.org/wiki/Q947851","display_name":"Watershed","level":2,"score":0.4626276195049286},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44508054852485657},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3521258533000946},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.31268125772476196},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1284942626953125}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/ijcvip.2013010102","doi":"https://doi.org/10.4018/ijcvip.2013010102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijcvip.2013010102","pdf_url":null,"source":{"id":"https://openalex.org/S4210177549","display_name":"International Journal of Computer Vision and Image Processing","issn_l":"2155-6989","issn":["2155-6989","2155-6997"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"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 Computer Vision and Image Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W14612285","https://openalex.org/W1482453188","https://openalex.org/W1740682627","https://openalex.org/W1984643210","https://openalex.org/W2050802111","https://openalex.org/W2073459066","https://openalex.org/W2091171890","https://openalex.org/W2127218421","https://openalex.org/W2136023023","https://openalex.org/W2153772704","https://openalex.org/W2160642098"],"related_works":["https://openalex.org/W2147140094","https://openalex.org/W4251006963","https://openalex.org/W2895743661","https://openalex.org/W1984643210","https://openalex.org/W2329610432","https://openalex.org/W2533185179","https://openalex.org/W2889077761","https://openalex.org/W2382738781","https://openalex.org/W3130143313","https://openalex.org/W1540833703"],"abstract_inverted_index":{"The":[0,65],"goal":[1],"of":[2,30,76,127,147,151,167],"image":[3,9,63],"segmentation":[4,42,79,148],"is":[5,88],"to":[6,102,134,142,161],"assign":[7],"every":[8],"pixels":[10],"into":[11],"their":[12,53],"respective":[13],"sections":[14],"that":[15,87],"share":[16],"a":[17,39],"common":[18],"visual":[19],"characteristic.":[20],"In":[21,140],"this":[22],"paper,":[23],"the":[24,28,36,69,74,117,124,144,152,156,162],"authors":[25,66],"have":[26,67],"evaluated":[27],"performances":[29],"three":[31,82],"different":[32],"clustering":[33],"algorithms":[34],"\u2013":[35,89],"classical":[37],"K-Means,":[38],"modified":[40,137],"Watershed":[41,138],"as":[43,106,132,159],"proposed":[44,54,118],"by":[45,80,108,149],"A.":[46],"R.":[47],"Kavitha":[48],"et":[49,110],"al.,":[50,111],"(2010)":[51],"and":[52,93,99,130,136],"Improved":[55],"Clustering":[56],"method":[57,119],"normally":[58],"used":[59],"for":[60,123],"gray":[61,77],"scale":[62,78],"segmentation.":[64,139],"analyzed":[68],"performance":[70],"measure":[71],"which":[72],"affects":[73],"result":[75,114,146],"considering":[81],"very":[83],"important":[84],"quality":[85],"measures":[86],"Structural":[90],"Content":[91],"(SC)":[92],"Root":[94],"Mean":[95],"Square":[96],"Error":[97],"(RMSE)":[98],"Peak":[100],"Signal":[101],"Noise":[103],"Ratio":[104],"(PSNR)":[105],"suggested":[107],"Jaskirat":[109],"(2012).":[112],"Experimental":[113],"shows":[115],"that,":[116],"gives":[120],"remarkable":[121],"consequence":[122],"computed":[125],"values":[126],"SC,":[128],"RMSE":[129],"PSNR":[131],"compared":[133,160],"K-Means":[135],"addition":[141],"this,":[143],"end":[145],"means":[150],"Proposed":[153],"technique":[154],"reduces":[155],"computational":[157],"time":[158],"other":[163],"two":[164],"approaches":[165],"irrespective":[166],"any":[168],"input":[169],"images.":[170]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
