{"id":"https://openalex.org/W2756694293","doi":"https://doi.org/10.1109/iscbi.2017.8053539","title":"Tomato ripeness clustering using 6-means algorithm based on v-channel otsu segmentation","display_name":"Tomato ripeness clustering using 6-means algorithm based on v-channel otsu segmentation","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2756694293","doi":"https://doi.org/10.1109/iscbi.2017.8053539","mag":"2756694293"},"language":"en","primary_location":{"id":"doi:10.1109/iscbi.2017.8053539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscbi.2017.8053539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 5th International Symposium on Computational and Business Intelligence (ISCBI)","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/A5050917874","display_name":"Yuita Arum Sari","orcid":"https://orcid.org/0000-0001-9580-5538"},"institutions":[{"id":"https://openalex.org/I177055848","display_name":"University of Brawijaya","ror":"https://ror.org/01wk3d929","country_code":"ID","type":"education","lineage":["https://openalex.org/I177055848"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Yuita Arum Sari","raw_affiliation_strings":["Computer Vision Research Group Faculty of Computer Science, Brawijaya University, Malang, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Research Group Faculty of Computer Science, Brawijaya University, Malang, Indonesia","institution_ids":["https://openalex.org/I177055848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078360325","display_name":"Sigit Adinugroho","orcid":"https://orcid.org/0000-0001-7585-2070"},"institutions":[{"id":"https://openalex.org/I177055848","display_name":"University of Brawijaya","ror":"https://ror.org/01wk3d929","country_code":"ID","type":"education","lineage":["https://openalex.org/I177055848"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Sigit Adinugroho","raw_affiliation_strings":["Computer Vision Research Group Faculty of Computer Science, Brawijaya University, Malang, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Research Group Faculty of Computer Science, Brawijaya University, Malang, Indonesia","institution_ids":["https://openalex.org/I177055848"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2278,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.860238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"32","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9656000137329102,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7869706153869629},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6604872345924377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5759131908416748},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5344544649124146},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5158873796463013},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.5048454403877258},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4899503290653229},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4751410484313965},{"id":"https://openalex.org/keywords/ripeness","display_name":"Ripeness","score":0.4728850722312927},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.4704132378101349},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4569031298160553},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4258610010147095},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.42399898171424866},{"id":"https://openalex.org/keywords/color-normalization","display_name":"Color normalization","score":0.41771331429481506},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.366239070892334},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.31069642305374146},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2976204752922058},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1191597580909729}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7869706153869629},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6604872345924377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5759131908416748},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5344544649124146},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5158873796463013},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.5048454403877258},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4899503290653229},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4751410484313965},{"id":"https://openalex.org/C2780393073","wikidata":"https://www.wikidata.org/wiki/Q7335586","display_name":"Ripeness","level":3,"score":0.4728850722312927},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.4704132378101349},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4569031298160553},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4258610010147095},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.42399898171424866},{"id":"https://openalex.org/C44404184","wikidata":"https://www.wikidata.org/wiki/Q5148620","display_name":"Color normalization","level":5,"score":0.41771331429481506},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.366239070892334},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.31069642305374146},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2976204752922058},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1191597580909729},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C172353545","wikidata":"https://www.wikidata.org/wiki/Q2121926","display_name":"Ripening","level":2,"score":0.0},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscbi.2017.8053539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscbi.2017.8053539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 5th International Symposium on Computational and Business Intelligence (ISCBI)","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":9,"referenced_works":["https://openalex.org/W1467531035","https://openalex.org/W2048312885","https://openalex.org/W2049639859","https://openalex.org/W2106556101","https://openalex.org/W2119267682","https://openalex.org/W2169097376","https://openalex.org/W2536139236","https://openalex.org/W2591849679","https://openalex.org/W2606904097"],"related_works":["https://openalex.org/W1597132678","https://openalex.org/W2354812287","https://openalex.org/W2129615465","https://openalex.org/W2170563037","https://openalex.org/W2382814550","https://openalex.org/W2396115542","https://openalex.org/W4231893945","https://openalex.org/W2368677052","https://openalex.org/W2044465367","https://openalex.org/W2047344228"],"abstract_inverted_index":{"Segmentation":[0],"process":[1,16],"in":[2,6,48,70,99,111,120,184,222],"an":[3,125],"essential":[4],"part":[5],"image":[7,32,63,164,181],"processing":[8],"to":[9,78,96,101,108,132,138,142,150,162],"obtain":[10],"good":[11],"preparation":[12],"either":[13],"for":[14,33,152],"further":[15],"of":[17,29,45,90,124,179,188,193,201,226],"data":[18],"mining":[19],"or":[20,68],"object":[21],"recognition.":[22],"This":[23],"paper":[24],"proposes":[25],"a":[26,65,129],"new":[27],"method":[28,172],"segmenting":[30],"tomato":[31,38,194],"clustering":[34,171,223],"its":[35],"ripeness.":[36,195],"The":[37],"images":[39],"are":[40,190,209],"taken":[41],"from":[42],"three":[43],"types":[44],"smartphone":[46,60],"camera":[47],"various":[49],"lighting":[50],"condition":[51],"with":[52,156],"white":[53],"background.":[54],"When":[55],"taking":[56],"picture":[57],"by":[58,199],"using":[59,182],"camera,":[61],"the":[62,74,79,87,144,168,215,224],"is":[64,76,84,106,118,160,173],"bit":[66],"darker":[67],"lighter":[69],"certain":[71],"side,":[72],"so":[73],"segmentation":[75,169],"involved":[77],"following":[80],"stage.":[81],"Color":[82,196],"transformation":[83],"needed":[85],"at":[86],"first":[88],"stage":[89],"preprocessing":[91],"which":[92,185],"converts":[93],"RGB":[94,139],"channel":[95,98,123,131,134,158,208],"YUV":[97,105,133,151],"order":[100],"apply":[102],"histogram":[103],"equalization.":[104],"better":[107],"perceptual":[109],"similarities":[110],"machine":[112],"vision":[113],"than":[114],"RGB.":[115],"Histogram":[116],"equalization":[117],"applied":[119],"single":[121],"Y":[122],"image.":[126],"Afterwards":[127],"merge":[128],"V":[130,157],"then":[135],"transform":[136],"it":[137,148],"color":[140,178,207],"model":[141],"observe":[143],"difference":[145],"and":[146,205],"convert":[147],"back":[149],"segmentation.":[153],"Otsu":[154],"combined":[155],"thresholding":[159],"utilized":[161],"segment":[163],"better.":[165],"To":[166],"evaluate":[167],"performance,":[170],"computed":[174],"based":[175],"on":[176],"retrieved":[177],"segmented":[180],"K-Means,":[183],"k=6":[186],"because":[187],"there":[189],"6":[191],"stages":[192],"feature":[197],"extraction":[198],"means":[200],"R,":[202],"G,":[203],"a*,":[204],"b*":[206],"treated":[210],"subsequently.":[211],"Experimental":[212],"results":[213],"show":[214],"system":[216],"yield":[217],"1%":[218],"Mean":[219],"Square":[220],"Error":[221],"ripeness":[225],"tomatoes.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}