{"id":"https://openalex.org/W4390746044","doi":"https://doi.org/10.1051/bioconf/20248501028","title":"Image preprocessing techniques applied on NIR images for fruit bruise detection","display_name":"Image preprocessing techniques applied on NIR images for fruit bruise detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390746044","doi":"https://doi.org/10.1051/bioconf/20248501028"},"language":"en","primary_location":{"id":"doi:10.1051/bioconf/20248501028","doi":"https://doi.org/10.1051/bioconf/20248501028","is_oa":true,"landing_page_url":"https://doi.org/10.1051/bioconf/20248501028","pdf_url":"https://www.bio-conferences.org/articles/bioconf/pdf/2024/04/bioconf_i-craft2024_01028.pdf","source":{"id":"https://openalex.org/S4210168758","display_name":"BIO Web of Conferences","issn_l":"2117-4458","issn":["2117-4458","2273-1709"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["ddh","doaj","norway-1"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BIO Web of Conferences","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.bio-conferences.org/articles/bioconf/pdf/2024/04/bioconf_i-craft2024_01028.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039534003","display_name":"Zeynep \u00dcnal","orcid":"https://orcid.org/0000-0002-9954-1151","observed_orcids":["https://orcid.org/0000-0002-9954-1151","https://orcid.org/0009-0001-7726-3146","https://orcid.org/0000-0002-9296-483X"]},"institutions":[{"id":"https://openalex.org/I198265615","display_name":"Ni\u011fde \u00d6mer Halisdemir \u00dcniversitesi","ror":"https://ror.org/03ejnre35","country_code":"TR","type":"education","lineage":["https://openalex.org/I198265615"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Zeynep \u00dcnal","raw_affiliation_strings":["Ni\u011fde \u00d6mer Halisdemir University, Department of Biosystem Engineering, Central Campus, 51240 Ni\u011fde, Turkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ni\u011fde \u00d6mer Halisdemir University, Department of Biosystem Engineering, Central Campus, 51240 Ni\u011fde, Turkiye","institution_ids":["https://openalex.org/I198265615"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5039534003"],"corresponding_institution_ids":["https://openalex.org/I198265615"],"apc_list":null,"apc_paid":null,"fwci":9.6547,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.98053393,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"85","issue":null,"first_page":"01028","last_page":"01028"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.8086000084877014,"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":0.8086000084877014,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.09669999778270721,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.054999999701976776,"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/near-infrared-imaging","display_name":"near-infrared imaging","score":0.9350000023841858},{"id":"https://openalex.org/keywords/image-preprocessing","display_name":"image preprocessing","score":0.996999979019165},{"id":"https://openalex.org/keywords/noise-reduction-filters","display_name":"noise reduction filters","score":0.6869999766349792},{"id":"https://openalex.org/keywords/edge-detection","display_name":"edge detection","score":0.7730000019073486},{"id":"https://openalex.org/keywords/adaptive-thresholding","display_name":"adaptive thresholding","score":0.9290000200271606},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"histogram equalization","score":0.8619999885559082},{"id":"https://openalex.org/keywords/contrast-stretching","display_name":"contrast stretching","score":0.8040000200271606},{"id":"https://openalex.org/keywords/butterworth-filter","display_name":"Butterworth filter","score":0.8330000042915344},{"id":"https://openalex.org/keywords/frequency-domain-filtering","display_name":"frequency-domain filtering","score":0.8040000200271606},{"id":"https://openalex.org/keywords/fruit-quality-evaluation","display_name":"fruit quality assessment","score":0.8389999866485596},{"id":"https://openalex.org/keywords/apple","display_name":"apple","score":0.7409999966621399},{"id":"https://openalex.org/keywords/peach","display_name":"peach","score":0.9210000038146973},{"id":"https://openalex.org/keywords/plum","display_name":"plum","score":1.0}],"concepts":[{"id":"https://openalex.org/C155012704","wikidata":"https://www.wikidata.org/wiki/Q451898","display_name":"Prewitt operator","level":5,"score":0.8554192781448364},{"id":"https://openalex.org/C2781424195","wikidata":"https://www.wikidata.org/wiki/Q574491","display_name":"Bruise","level":2,"score":0.8071973323822021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7698778510093689},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6626864671707153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6181741952896118},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.5862253904342651},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.585476815700531},{"id":"https://openalex.org/C30703548","wikidata":"https://www.wikidata.org/wiki/Q1757673","display_name":"Sobel operator","level":5,"score":0.577675461769104},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.518775463104248},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.4971950352191925},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4740833044052124},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.46641668677330017},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43350833654403687},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.41496020555496216},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19472691416740417},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1051/bioconf/20248501028","doi":"https://doi.org/10.1051/bioconf/20248501028","is_oa":true,"landing_page_url":"https://doi.org/10.1051/bioconf/20248501028","pdf_url":"https://www.bio-conferences.org/articles/bioconf/pdf/2024/04/bioconf_i-craft2024_01028.pdf","source":{"id":"https://openalex.org/S4210168758","display_name":"BIO Web of Conferences","issn_l":"2117-4458","issn":["2117-4458","2273-1709"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["ddh","doaj","norway-1"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BIO Web of Conferences","raw_type":"journal-article"},{"id":"pmh:oai:edpsciences.org:dkey/10.1051/bioconf/20248501028","doi":null,"is_oa":true,"landing_page_url":"https://www.bio-conferences.org/10.1051/bioconf/20248501028/pdf","pdf_url":"https://www.bio-conferences.org/10.1051/bioconf/20248501028/pdf","source":{"id":"https://openalex.org/S4306400744","display_name":"Springer Link (Chiba Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I8488066","host_organization_name":"Chiba Institute of Technology","host_organization_lineage":["https://openalex.org/I8488066"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1051/bioconf/20248501028","raw_type":"Text"},{"id":"pmh:oai:acikerisim.ohu.edu.tr:11480/11016","doi":null,"is_oa":true,"landing_page_url":"https://doi.org/10.1051/bioconf/20248501028","pdf_url":null,"source":{"id":"https://openalex.org/S7407055360","display_name":"Ni\u011fde \u00dcniversitesi A\u00e7\u0131k Eri\u015fim Sistemi","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Object"},{"id":"pmh:oai:doaj.org/article:e4f197f5bf6b436283bd75c90eb4775e","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/e4f197f5bf6b436283bd75c90eb4775e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BIO Web of Conferences, Vol 85, p 01028 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1051/bioconf/20248501028","doi":"https://doi.org/10.1051/bioconf/20248501028","is_oa":true,"landing_page_url":"https://doi.org/10.1051/bioconf/20248501028","pdf_url":"https://www.bio-conferences.org/articles/bioconf/pdf/2024/04/bioconf_i-craft2024_01028.pdf","source":{"id":"https://openalex.org/S4210168758","display_name":"BIO Web of Conferences","issn_l":"2117-4458","issn":["2117-4458","2273-1709"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["ddh","doaj","norway-1"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BIO Web of Conferences","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6735000014305115,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390746044.pdf","grobid_xml":"https://content.openalex.org/works/W4390746044.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1972703100","https://openalex.org/W2046226699","https://openalex.org/W2069673975","https://openalex.org/W2566111701","https://openalex.org/W2612558730","https://openalex.org/W2766273992","https://openalex.org/W2772996487","https://openalex.org/W3010192860","https://openalex.org/W3045034870","https://openalex.org/W3205996914","https://openalex.org/W4210654698","https://openalex.org/W4210673933","https://openalex.org/W4210741732","https://openalex.org/W4284976431","https://openalex.org/W4285670398","https://openalex.org/W4307490325","https://openalex.org/W4308309877","https://openalex.org/W4385308234"],"related_works":["https://openalex.org/W2357672235","https://openalex.org/W4234942786","https://openalex.org/W4403896644","https://openalex.org/W2616359760","https://openalex.org/W4416382279","https://openalex.org/W3185278221","https://openalex.org/W4389347007","https://openalex.org/W4413352500","https://openalex.org/W2356810189","https://openalex.org/W4390644992"],"abstract_inverted_index":{"This":[0],"study":[1],"investigates":[2],"the":[3,22,49,122,179],"transformative":[4],"potential":[5],"of":[6,25,51,146,164,167,181],"image":[7,30],"preprocessing":[8,183],"techniques":[9,184],"when":[10],"applied":[11],"to":[12,27,87,135,202],"near-infrared":[13],"(NIR)":[14],"images":[15,166],"for":[16,185,194],"early":[17],"bruise":[18,34,119,138,157,188],"detection.":[19,120,158,189],"It":[20],"emphasizes":[21],"nuanced":[23],"selection":[24],"filters":[26,55,125],"retain":[28],"essential":[29],"features":[31],"while":[32,92],"accentuating":[33],"characteristics.":[35],"Filters":[36],"as":[37,59,105,127],"noise-reduction":[38],"tools,":[39],"rendering":[40],"bruises":[41],"more":[42],"visible":[43],"without":[44],"erasing":[45],"critical":[46],"details.":[47],"Subsequently,":[48],"limitations":[50],"conventional":[52],"edge":[53,99,115],"detection":[54],"were":[56,79,133],"examined":[57],"such":[58,104,126],"Sobel,":[60],"Prewitt,":[61],"and":[62,110,117,131,162,174,197],"Canny,":[63],"which":[64],"excel":[65],"in":[66,73,96,155],"outlining":[67],"fruit":[68,114,169,187,204],"edges":[69],"but":[70],"fall":[71],"short":[72],"delineating":[74],"bruises.":[75],"Adaptive":[76],"thresholding":[77],"methods":[78],"introduced,":[80,144],"exemplified":[81],"by":[82],"Otsu\u2019s,":[83],"showcasing":[84],"their":[85,94],"capacity":[86],"distinguish":[88],"objects":[89],"from":[90],"backgrounds":[91],"acknowledging":[93],"challenge":[95],"preserving":[97],"crucial":[98],"pixels.":[100],"Image":[101],"enhancement":[102],"techniques,":[103],"Histogram":[106],"Equalization,":[107],"Contrast":[108],"Stretching,":[109],"Sigmoid":[111],"Correction,":[112],"enhance":[113,203],"visibility":[116],"elevate":[118],"In":[121],"frequency":[123],"domain,":[124],"Ideal":[128],"Lowpass,":[129],"Bandpass,":[130],"Highpass":[132],"harnessed":[134],"accentuate":[136],"diverse":[137],"types.":[139],"The":[140],"Butterworth":[141],"filter":[142],"was":[143],"capable":[145],"concurrently":[147],"highlighting":[148],"all":[149],"relevant":[150],"features,":[151],"a":[152],"pivotal":[153],"innovation":[154],"comprehensive":[156],"Through":[159],"extensive":[160],"experimentation":[161],"analysis":[163],"NIR":[165],"various":[168],"varieties,":[170],"including":[171],"plums,":[172],"peaches,":[173],"apples,":[175],"our":[176],"findings":[177],"underscore":[178],"significance":[180],"tailored":[182],"optimal":[186],"These":[190],"insights":[191],"offer":[192],"promise":[193],"agricultural":[195],"industries":[196],"quality":[198,205],"control":[199],"processes":[200],"seeking":[201],"assessment.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2024-01-13T00:00:00"}
