{"id":"https://openalex.org/W3167632205","doi":"https://doi.org/10.1145/3447587.3447594","title":"Detection of Contaminated Hazelnuts under UV Illumination","display_name":"Detection of Contaminated Hazelnuts under UV Illumination","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3167632205","doi":"https://doi.org/10.1145/3447587.3447594","mag":"3167632205"},"language":"en","primary_location":{"id":"doi:10.1145/3447587.3447594","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447587.3447594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 4th International Conference on Image and Graphics Processing","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/A5005021383","display_name":"Sorath Asnani","orcid":"https://orcid.org/0000-0003-3146-1267"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Sorath Asnani","raw_affiliation_strings":["Politecnico di Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076102072","display_name":"Maurizio Rebaudengo","orcid":"https://orcid.org/0000-0002-7135-7694"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maurizio Rebaudengo","raw_affiliation_strings":["Politecnico di Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001650952","display_name":"Bartolomeo Montrucchio","orcid":"https://orcid.org/0000-0003-0065-8614"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Bartolomeo Montrucchio","raw_affiliation_strings":["Politecnico di Torino, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005021383"],"corresponding_institution_ids":["https://openalex.org/I177477856"],"apc_list":null,"apc_paid":null,"fwci":0.1168,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.37355728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9936000108718872,"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":0.9936000108718872,"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/T12314","display_name":"Nuts composition and effects","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2916","display_name":"Nutrition and Dietetics"},"field":{"id":"https://openalex.org/fields/29","display_name":"Nursing"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11796","display_name":"Horticultural and Viticultural Research","score":0.9765999913215637,"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/thresholding","display_name":"Thresholding","score":0.5312044024467468},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5047868490219116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4052492082118988},{"id":"https://openalex.org/keywords/food-science","display_name":"Food science","score":0.38840484619140625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3310219645500183},{"id":"https://openalex.org/keywords/horticulture","display_name":"Horticulture","score":0.32605305314064026},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.31838148832321167},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15279310941696167},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.15055590867996216}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5312044024467468},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5047868490219116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4052492082118988},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.38840484619140625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3310219645500183},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.32605305314064026},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.31838148832321167},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15279310941696167},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15055590867996216}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447587.3447594","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447587.3447594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 4th International Conference on Image and Graphics Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1997398042","https://openalex.org/W2009662491","https://openalex.org/W2010360199","https://openalex.org/W2017101294","https://openalex.org/W2033750894","https://openalex.org/W2046681395","https://openalex.org/W2133589370","https://openalex.org/W2145835826","https://openalex.org/W2150594510","https://openalex.org/W2318827851","https://openalex.org/W2506173632","https://openalex.org/W4240677074"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2116854923","https://openalex.org/W2750730210","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W4233939244","https://openalex.org/W2730764323","https://openalex.org/W2106145857"],"abstract_inverted_index":{"Hazelnut":[0],"(Corylus":[1],"avellana":[2],"L.)":[3],"is":[4,24,94],"one":[5],"of":[6,75,123,207],"the":[7,12,121,128,135,142,156,190,198,219,222],"most":[8],"important":[9],"crops":[10],"in":[11,26,58,120,155,203],"world.":[13],"Due":[14],"to":[15,44,69,81,87,218],"its":[16],"high":[17],"nutritional":[18,52],"composition":[19],"and":[20,30,37,46,61,86,97,110,115,138,151,197,209],"enhanced":[21],"flavors,":[22],"it":[23],"used":[25],"numerous":[27],"confectioneries,":[28],"baking,":[29],"chocolate":[31],"industries.":[32],"During":[33],"various":[34],"cultivation,":[35],"harvesting,":[36],"storage":[38],"phases,":[39],"hazelnuts":[40,72,117,194,200],"can":[41],"be":[42],"prone":[43],"bacterial":[45],"fungal":[47],"infections":[48],"which":[49],"damage":[50],"their":[51],"values":[53],"as":[54,56,195],"well":[55],"result":[57],"bad":[59],"odor":[60],"unpleasant":[62],"taste.":[63],"This":[64],"work":[65],"proposes":[66],"a":[67,100,214],"solution":[68],"detect":[70],"rotten":[71,116,143,193,223],"by":[73,165],"means":[74],"Ultraviolet":[76],"(UV)":[77],"light.":[78],"In":[79],"order":[80],"uniformly":[82],"illuminate":[83],"hazelnut":[84,144,215],"samples":[85,145],"capture":[88],"high-quality":[89],"images,":[90],"an":[91],"axial":[92],"illuminator":[93],"specially":[95],"modeled":[96],"printed":[98],"using":[99,166,183],"3D-printer.":[101],"The":[102,113,159,174,205],"sample":[103,216],"images":[104,161,177,182,188],"are":[105,152,162,178,201],"captured":[106,157],"at":[107],"450":[108],"nm":[109],"750":[111],"nm.":[112],"healthy":[114,129,199,220],"behave":[118],"differently":[119],"presence":[122],"UV":[124,136],"light,":[125],"such":[126],"that":[127],"parts":[130],"produce":[131,148],"fluorescence":[132,150],"after":[133],"absorbing":[134],"light":[137],"appear":[139],"brighter,":[140],"whereas":[141],"do":[146],"not":[147],"any":[149],"therefore":[153],"darker":[154],"images.":[158],"two":[160],"then":[163],"combined":[164],"image":[167,184],"division":[168],"operation":[169],"with":[170],"suitable":[171],"scaling":[172],"factors.":[173],"resulting":[175],"gray-scale":[176],"converted":[179],"into":[180],"binary":[181,187],"thresholding.":[185],"These":[186],"represent":[189],"damaged":[191],"or":[192,221],"black":[196,208],"white":[202,210],"color.":[204],"percentages":[206],"pixels":[211],"determine":[212],"whether":[213],"belongs":[217],"class.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
