{"id":"https://openalex.org/W2099005307","doi":"https://doi.org/10.1109/fuzz.2002.1005019","title":"Fuzzy integral for leaf image retrieval","display_name":"Fuzzy integral for leaf image retrieval","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2099005307","doi":"https://doi.org/10.1109/fuzz.2002.1005019","mag":"2099005307"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz.2002.1005019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2002.1005019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291)","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/A5100443919","display_name":"Zhiyong Wang","orcid":"https://orcid.org/0000-0002-1920-9926"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Zhiyong Wang","raw_affiliation_strings":["Center for Multimedia Signal Processing, Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong, China","Dept. of Electron. & Inf. Eng., Hong Kong Polytech., Kowloon, China"],"affiliations":[{"raw_affiliation_string":"Center for Multimedia Signal Processing, Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Dept. of Electron. & Inf. Eng., Hong Kong Polytech., Kowloon, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050364086","display_name":"Zheru Chi","orcid":"https://orcid.org/0000-0003-0714-8713"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zheru Chi","raw_affiliation_strings":["Center for Multimedia Signal Processing, Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong, China","Dept. of Electron. & Inf. Eng., Hong Kong Polytech., Kowloon, China"],"affiliations":[{"raw_affiliation_string":"Center for Multimedia Signal Processing, Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Dept. of Electron. & Inf. Eng., Hong Kong Polytech., Kowloon, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068891693","display_name":"Dagan Feng","orcid":"https://orcid.org/0000-0002-3381-214X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Dagan Feng","raw_affiliation_strings":["Center for Multimedia Signal Processing, Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong, China","Dept. of Electron. & Inf. Eng., Hong Kong Polytech., Kowloon, China"],"affiliations":[{"raw_affiliation_string":"Center for Multimedia Signal Processing, Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Dept. of Electron. & Inf. Eng., Hong Kong Polytech., Kowloon, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100443919"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":1.6015,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.84429407,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"1","issue":null,"first_page":"372","last_page":"377"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.998199999332428,"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":0.998199999332428,"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/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"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9923999905586243,"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/centroid","display_name":"Centroid","score":0.6841418147087097},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6229706406593323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6145704388618469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5583954453468323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5369932651519775},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5321421027183533},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5035325884819031},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4955865144729614},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4835748076438904},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4329545199871063},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42600348591804504},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.409278929233551},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30773454904556274}],"concepts":[{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.6841418147087097},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6229706406593323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6145704388618469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5583954453468323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5369932651519775},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5321421027183533},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5035325884819031},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4955865144729614},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4835748076438904},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4329545199871063},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42600348591804504},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.409278929233551},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30773454904556274},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz.2002.1005019","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2002.1005019","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291)","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/18726","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/18726","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1573698127","https://openalex.org/W1589078573","https://openalex.org/W1978613449","https://openalex.org/W2024644834","https://openalex.org/W2045718965","https://openalex.org/W2088548213","https://openalex.org/W2099046646","https://openalex.org/W2100115174","https://openalex.org/W2121974354","https://openalex.org/W2154332114","https://openalex.org/W2170049341","https://openalex.org/W2296349981","https://openalex.org/W4212783130","https://openalex.org/W6661814237","https://openalex.org/W6675014839","https://openalex.org/W6983065222","https://openalex.org/W7075632844"],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W2007009951","https://openalex.org/W2082644203","https://openalex.org/W2350539780","https://openalex.org/W3165040664","https://openalex.org/W3122652148","https://openalex.org/W1583866266","https://openalex.org/W4242386713","https://openalex.org/W2996505764","https://openalex.org/W3088649123"],"abstract_inverted_index":{"Generally,":[0],"the":[1,5,7,31,68,73,80,84,95,120,131,135,158,165],"more":[2,148],"features":[3],"utilized,":[4],"better":[6,153],"retrieval":[8,85,128,154],"performance.":[9],"However,":[10],"it":[11],"is":[12,91],"a":[13,23,87,99,126,152],"very":[14],"challenging":[15],"task":[16],"to":[17,78,93],"combine":[18],"different":[19,34],"feature":[20,37,47],"sets":[21,38,48],"in":[22,50,83],"way":[24],"reflecting":[25],"human":[26],"perception.":[27],"This":[28],"paper":[29],"presents":[30],"combination":[32,74],"of":[33,98,134],"shape":[35],"based":[36,89],"using":[39],"fuzzy":[40,63,121],"integral":[41,64,122],"for":[42],"leaf":[43,100,106],"image":[44],"retrieval.":[45],"The":[46,62,139],"used":[49],"our":[51,144],"system":[52],"include":[53],"centroid-contour":[54],"distance":[55],"curve,":[56],"eccentricity,":[57],"and":[58,164],"angle":[59],"code":[60],"histogram.":[61],"approach":[65,123],"can":[66,124,150],"release":[67],"user's":[69],"burden":[70],"from":[71,108,114],"tuning":[72],"parameters.":[75],"In":[76],"order":[77],"reduce":[79],"matching":[81],"time":[82],"process,":[86],"thinning":[88],"method":[90,163],"proposed":[92],"locate":[94],"start":[96],"point":[97],"contour.":[101],"Experimental":[102],"results":[103,140],"on":[104],"440":[105],"images":[107],"44":[109],"plant":[110,116],"species":[111],"(10":[112],"samples":[113],"each":[115],"species)":[117],"show":[118],"that":[119,143],"achieve":[125,151],"comparable":[127],"performance":[129,155],"with":[130],"best":[132],"case":[133],"weighted":[136],"summation":[137],"combination.":[138],"also":[141],"indicate":[142],"approach,":[145],"which":[146],"are":[147],"efficient,":[149],"than":[156],"both":[157],"curvature":[159],"scale":[160],"space":[161],"(CSS)":[162],"modified":[166],"Fourier":[167],"descriptor":[168],"(MFD)":[169],"method.":[170]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
