{"id":"https://openalex.org/W3117991096","doi":"https://doi.org/10.1145/3427423.3427441","title":"Comparison of image thresholding and clustering segmentation methods for understanding nutritional content of food images","display_name":"Comparison of image thresholding and clustering segmentation methods for understanding nutritional content of food images","publication_year":2020,"publication_date":"2020-11-16","ids":{"openalex":"https://openalex.org/W3117991096","doi":"https://doi.org/10.1145/3427423.3427441","mag":"3117991096"},"language":"en","primary_location":{"id":"doi:10.1145/3427423.3427441","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3427423.3427441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology","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":true,"raw_author_name":"Yuita Arum Sari","raw_affiliation_strings":["University of Brawijaya, Malang, Indonesia"],"affiliations":[{"raw_affiliation_string":"University of Brawijaya, Malang, Indonesia","institution_ids":["https://openalex.org/I177055848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064098137","display_name":"Vriza Wahyu Saputra","orcid":"https://orcid.org/0000-0002-4560-2035"},"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":"Vriza Wahyu Saputra","raw_affiliation_strings":["University of Brawijaya, Malang, Indonesia"],"affiliations":[{"raw_affiliation_string":"University of Brawijaya, Malang, Indonesia","institution_ids":["https://openalex.org/I177055848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081650031","display_name":"Andini Agustina","orcid":null},"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":"Andini Agustina","raw_affiliation_strings":["University of Brawijaya, Malang, Indonesia"],"affiliations":[{"raw_affiliation_string":"University of Brawijaya, Malang, Indonesia","institution_ids":["https://openalex.org/I177055848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091210707","display_name":"Yudi Arimba Wani","orcid":"https://orcid.org/0000-0003-2897-7326"},"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":"Yudi Arimba Wani","raw_affiliation_strings":["University of Brawijaya, Malang, Indonesia"],"affiliations":[{"raw_affiliation_string":"University of Brawijaya, Malang, Indonesia","institution_ids":["https://openalex.org/I177055848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004995370","display_name":"Yusuf Gladiensyah Bihanda","orcid":"https://orcid.org/0000-0001-5633-418X"},"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":"Yusuf Gladiensyah Bihanda","raw_affiliation_strings":["University of Brawijaya, Malang, Indonesia"],"affiliations":[{"raw_affiliation_string":"University of Brawijaya, Malang, Indonesia","institution_ids":["https://openalex.org/I177055848"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050917874"],"corresponding_institution_ids":["https://openalex.org/I177055848"],"apc_list":null,"apc_paid":null,"fwci":1.243,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.82176453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"124","last_page":"129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.8900015354156494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7340865731239319},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6546646952629089},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.624197781085968},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5903394222259521},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.584383487701416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5571058392524719},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4801144599914551},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45934635400772095},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"k-means clustering","score":0.4207960069179535}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.8900015354156494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7340865731239319},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6546646952629089},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.624197781085968},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5903394222259521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.584383487701416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5571058392524719},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4801144599914551},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45934635400772095},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.4207960069179535}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3427423.3427441","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3427423.3427441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W61052845","https://openalex.org/W1984005979","https://openalex.org/W2531177272","https://openalex.org/W2747813503","https://openalex.org/W2756694293","https://openalex.org/W2794102811","https://openalex.org/W2810296175","https://openalex.org/W2887826853","https://openalex.org/W2890591987","https://openalex.org/W2891724071","https://openalex.org/W3005561111","https://openalex.org/W3019371964","https://openalex.org/W4239067560"],"related_works":["https://openalex.org/W2138983844","https://openalex.org/W1968965685","https://openalex.org/W2012792772","https://openalex.org/W2356573839","https://openalex.org/W2111883783","https://openalex.org/W2009028679","https://openalex.org/W2357424838","https://openalex.org/W2356903262","https://openalex.org/W4237142086","https://openalex.org/W2327601824"],"abstract_inverted_index":{"In":[0],"a":[1],"hospital,":[2],"nutritionists":[3],"and":[4,42,82,115],"dietitians":[5],"have":[6,45],"to":[7,10,131],"pay":[8],"attention":[9],"how":[11],"much":[12],"food":[13,34,67,74,134],"consumed":[14],"by":[15,37,68,121],"patients":[16,27],"since":[17],"it":[18,43,128],"can":[19,101],"affect":[20],"the":[21,39,63,109,123,133],"nutritional":[22,64,140],"intake":[23],"they":[24],"get":[25],"if":[26],"leftover":[28,33,55],"their":[29],"meals.":[30],"Usually,":[31],"measuring":[32],"is":[35,113,129],"done":[36],"using":[38,85,106],"optical":[40],"measurement,":[41],"may":[44],"different":[46,52],"prediction":[47],"values":[48],"as":[49,139],"well":[50],"when":[51],"observers":[53],"evaluate":[54],"food.":[56],"We":[57],"propose":[58],"an":[59],"automatic":[60],"estimation":[61],"of":[62,66,111],"content":[65],"focusing":[69],"on":[70],"image":[71,80,95,125],"segmentation":[72,96],"from":[73],"images.":[75],"Two":[76],"algorithms":[77],"are":[78],"proposed:":[79],"thresholding":[81,100,126],"K-means++":[83],"clustering":[84],"HSV":[86],"color":[87],"transformation.":[88],"The":[89],"result":[90],"evaluation":[91],"function":[92],"shows":[93],"that":[94,120,137],"providing":[97],"with":[98,108],"two-steps":[99],"achieve":[102],"better":[103],"rather":[104],"than":[105],"K-means++,":[107],"number":[110],"accuracies":[112],"95%":[114],"53.44%,":[116],"respectively.":[117],"It":[118],"concludes":[119],"utilizing":[122],"improved":[124],"method,":[127],"robust":[130],"identify":[132],"area":[135],"images":[136],"represent":[138],"content.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}