{"id":"https://openalex.org/W3128466496","doi":"https://doi.org/10.3233/jifs-189703","title":"Fuzzy C-means measurement of mass base on image features","display_name":"Fuzzy C-means measurement of mass base on image features","publication_year":2021,"publication_date":"2021-02-05","ids":{"openalex":"https://openalex.org/W3128466496","doi":"https://doi.org/10.3233/jifs-189703","mag":"3128466496"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-189703","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-189703","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5014888317","display_name":"Xuejun Zhang","orcid":"https://orcid.org/0000-0002-0350-359X"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]},{"id":"https://openalex.org/I160354086","display_name":"Guangxi Medical University","ror":"https://ror.org/03dveyr97","country_code":"CN","type":"education","lineage":["https://openalex.org/I160354086"]},{"id":"https://openalex.org/I4210097660","display_name":"Guangxi Science and Technology Department","ror":"https://ror.org/00dhpdx54","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210097660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejun Zhang","raw_affiliation_strings":["Guangxi Key Laboratory of Multimedia Communications and Network Technology, Nanning, Guangxi, China","Medical College, Guangxi University, Nanning, China","School of Computer, Electronics and Information, Guangxi University, Nanning, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Multimedia Communications and Network Technology, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I4210097660"]},{"raw_affiliation_string":"Medical College, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I160354086","https://openalex.org/I150807315"]},{"raw_affiliation_string":"School of Computer, Electronics and Information, Guangxi University, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336507","display_name":"Huan Lao","orcid":"https://orcid.org/0000-0002-2457-3546"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]},{"id":"https://openalex.org/I160354086","display_name":"Guangxi Medical University","ror":"https://ror.org/03dveyr97","country_code":"CN","type":"education","lineage":["https://openalex.org/I160354086"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Lao","raw_affiliation_strings":["Medical College, Guangxi University, Nanning, China"],"affiliations":[{"raw_affiliation_string":"Medical College, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I160354086","https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102338554","display_name":"Dongbo Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134448","display_name":"Fourth Affiliated Hospital of Guangxi Medical University","ror":"https://ror.org/0335pr187","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210134448"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongbo Wu","raw_affiliation_strings":["Department of No. 1 General Surgery, The forth Affiliated Hospital of Guangxi Medical University, Liuzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of No. 1 General Surgery, The forth Affiliated Hospital of Guangxi Medical University, Liuzhou, China","institution_ids":["https://openalex.org/I4210134448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101602022","display_name":"Chan Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chan Liang","raw_affiliation_strings":["School of Computer, Electronics and Information, Guangxi University, Nanning, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Electronics and Information, Guangxi University, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102106426","display_name":"Binmei Liang","orcid":"https://orcid.org/0009-0001-0801-3733"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binmei Liang","raw_affiliation_strings":["School of Computer, Electronics and Information, Guangxi University, Nanning, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Electronics and Information, Guangxi University, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064929078","display_name":"Liangdi Ma","orcid":"https://orcid.org/0009-0005-0068-2675"},"institutions":[{"id":"https://openalex.org/I4210097660","display_name":"Guangxi Science and Technology Department","ror":"https://ror.org/00dhpdx54","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210097660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangdi Ma","raw_affiliation_strings":["Guangxi Key Laboratory of Multimedia Communications and Network Technology, Nanning, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Multimedia Communications and Network Technology, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I4210097660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102338554"],"corresponding_institution_ids":["https://openalex.org/I4210134448"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01535948,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"41","issue":"3","first_page":"4431","last_page":"4438"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9836000204086304,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9836000204086304,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9577000141143799,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9474999904632568,"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/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.5902861952781677},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5613791942596436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.552808940410614},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5309459567070007},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49194929003715515},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.42954903841018677},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.42529985308647156},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.28827354311943054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.27647072076797485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21683862805366516},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18214544653892517}],"concepts":[{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.5902861952781677},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5613791942596436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.552808940410614},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5309459567070007},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49194929003715515},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.42954903841018677},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.42529985308647156},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.28827354311943054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.27647072076797485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21683862805366516},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18214544653892517}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-189703","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-189703","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1561797649","https://openalex.org/W1965820887","https://openalex.org/W1969090956","https://openalex.org/W1974619764","https://openalex.org/W1978473452","https://openalex.org/W2000957521","https://openalex.org/W2006730773","https://openalex.org/W2014807418","https://openalex.org/W2015795623","https://openalex.org/W2018857832","https://openalex.org/W2052193386","https://openalex.org/W2055357269","https://openalex.org/W2056775679","https://openalex.org/W2082790386","https://openalex.org/W2085719648","https://openalex.org/W2104311988","https://openalex.org/W2128409098","https://openalex.org/W2130859329","https://openalex.org/W2133907445","https://openalex.org/W2134128809","https://openalex.org/W2143332095","https://openalex.org/W2147444658","https://openalex.org/W2147778470","https://openalex.org/W2150395622","https://openalex.org/W2153207916","https://openalex.org/W2153717930","https://openalex.org/W2154377046","https://openalex.org/W2168192382","https://openalex.org/W2467433404","https://openalex.org/W2602322415","https://openalex.org/W2789685775","https://openalex.org/W4298289213"],"related_works":["https://openalex.org/W4327521644","https://openalex.org/W2978884468","https://openalex.org/W2168413811","https://openalex.org/W2005846134","https://openalex.org/W4255837520","https://openalex.org/W2369237035","https://openalex.org/W2948041274","https://openalex.org/W2165986314","https://openalex.org/W4226515754","https://openalex.org/W2087878472"],"abstract_inverted_index":{"Mass":[0],"of":[1,22,44,81,109,141,145,151,154,210,246],"an":[2,5,45,142],"object":[3,46],"is":[4,16],"important":[6],"characteristic":[7],"for":[8,227],"quality":[9],"assessment.":[10],"However,":[11],"in":[12,52,74,135],"some":[13],"cases,":[14],"it":[15],"hard":[17],"to":[18,40,67,76,95,137,169,206,242],"measure":[19,41],"the":[20,42,49,57,69,82,87,97,107,113,129,139,171,208,211,215,244],"mass":[21,43,140,213],"objects":[23],"with":[24],"instruments":[25],"directly.":[26],"In":[27,56,84],"this":[28],"paper,":[29],"we":[30],"proposed":[31,134],"a":[32,53,78,100,148],"novel":[33],"method":[34,230],"based":[35],"on":[36],"Fuzzy":[37],"c-means":[38],"(FCM)":[39],"by":[47,128],"analyzing":[48],"deformation":[50,71,101],"degree":[51],"grid":[54],"pattern.":[55],"spatial":[58,228],"field,":[59],"thin":[60],"plate":[61],"spline":[62],"(TPS)":[63],"algorithm":[64,92],"was":[65,93,119,194,204,221],"adopted":[66],"calculate":[68,96,138],"minimum":[70],"bending":[72],"energy":[73],"order":[75,136],"give":[77],"quantitative":[79],"analysis":[80,237],"weight;":[83],"frequency":[85,102,232],"domain,":[86],"Fast":[88],"Fourier":[89],"Transform":[90],"(FFT)":[91],"used":[94,168],"spectrum":[98,118],"within":[99],"area":[103],"before":[104],"and":[105,117,159,175,189,198,214,224,231,238],"after":[106],"change":[108],"grids,":[110],"from":[111],"which":[112],"relationship":[114],"between":[115,196],"weight":[116],"investigated":[120],"using":[121],"FCM":[122],"algorithm.":[123],"Two":[124],"different":[125],"equations":[126,165],"evaluated":[127],"above":[130],"two":[131],"methods":[132],"were":[133,166,178,240],"object.":[143],"Both":[144],"them":[146],"showed":[147],"high":[149,184],"level":[150],"explanatory":[152],"power":[153],"R2":[155,160,190],"(R2":[156,186],"=":[157,161,187,191],"0.9833":[158,188],"0.9698,":[162,192],"respectively).":[163],"The":[164,218],"then":[167],"determine":[170],"estimated":[172],"mass.":[173,200,217],"Estimated":[174],"measured":[176],"values":[177],"plotted":[179],"against":[180],"each":[181],"other.":[182],"A":[183],"correlation":[185],"respectively)":[193],"found":[195],"actual":[197,216],"calculated":[199,212],"Finally,":[201],"Bland-Altman":[202],"plot":[203],"introduced":[205],"access":[207],"agreement":[209],"average":[219],"bias":[220],"\u201354.408":[222],"g":[223,226],"\u20130.007":[225],"domain":[229,233],"method,":[234],"respectively.":[235],"Theoretical":[236],"experiments":[239],"performed":[241],"verify":[243],"effectiveness":[245],"our":[247],"approaches.":[248]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}