{"id":"https://openalex.org/W4220849863","doi":"https://doi.org/10.1117/12.2622610","title":"Automated byproduct segmentation in grain images","display_name":"Automated byproduct segmentation in grain images","publication_year":2022,"publication_date":"2022-03-05","ids":{"openalex":"https://openalex.org/W4220849863","doi":"https://doi.org/10.1117/12.2622610"},"language":"en","primary_location":{"id":"doi:10.1117/12.2622610","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2622610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourteenth International Conference on Machine Vision (ICMV 2021)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5019111458","display_name":"Lena Herrmann","orcid":"https://orcid.org/0000-0002-7703-292X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lena Herrmann","raw_affiliation_strings":["DFKI Labor Niedersachsen (Germany)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DFKI Labor Niedersachsen (Germany)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011499005","display_name":"Johannes J. Brust","orcid":"https://orcid.org/0000-0002-3748-2440"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Johannes Brust","raw_affiliation_strings":["DFKI Labor Niedersachsen (Germany)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DFKI Labor Niedersachsen (Germany)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020594579","display_name":"Joachim Hertzberg","orcid":"https://orcid.org/0000-0002-6371-9624"},"institutions":[{"id":"https://openalex.org/I170658231","display_name":"Osnabr\u00fcck University","ror":"https://ror.org/04qmmjx98","country_code":"DE","type":"education","lineage":["https://openalex.org/I170658231"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Joachim Hertzberg","raw_affiliation_strings":["DKFI Labor Niedersachsen (Germany)","Osnabr\u00fcck Univ. (Germany)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DKFI Labor Niedersachsen (Germany)","institution_ids":[]},{"raw_affiliation_string":"Osnabr\u00fcck Univ. (Germany)","institution_ids":["https://openalex.org/I170658231"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03155819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"153","issue":null,"first_page":"11","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9943000078201294,"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":0.9943000078201294,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9732999801635742,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12388","display_name":"Identification and Quantification in Food","score":0.9700000286102295,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5954959988594055},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5886864066123962},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5856189131736755},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5816579461097717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5514100193977356},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4324895739555359},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3686307668685913}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5954959988594055},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5886864066123962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5856189131736755},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5816579461097717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5514100193977356},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4324895739555359},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3686307668685913}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2622610","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2622610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourteenth International Conference on Machine Vision (ICMV 2021)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1959608418","https://openalex.org/W2015159529","https://openalex.org/W2107376108","https://openalex.org/W2118246710","https://openalex.org/W2160970646","https://openalex.org/W2170249894","https://openalex.org/W2726355056","https://openalex.org/W2766564705","https://openalex.org/W2802456792","https://openalex.org/W2887311010","https://openalex.org/W3035060554","https://openalex.org/W3105557179","https://openalex.org/W4250685322","https://openalex.org/W6639824700","https://openalex.org/W6640963894","https://openalex.org/W6745219988","https://openalex.org/W6774314701","https://openalex.org/W6779326418","https://openalex.org/W6785442908","https://openalex.org/W7004769992"],"related_works":["https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4298131179","https://openalex.org/W2375430703","https://openalex.org/W3199300986"],"abstract_inverted_index":{"Within":[0],"the":[1,17,38,65,80,83,86,92,98,112,126,158,169,204,219],"farming":[2],"industry":[3],"using":[4],"computer":[5],"vision":[6],"technologies":[7],"provides":[8],"great":[9],"support":[10],"for":[11,203],"various":[12],"processes.":[13],"One":[14],"example":[15],"is":[16,91,100,120,150,175,196,208],"grain":[18],"harvest":[19,160],"with":[20],"a":[21,31,53,71,139,147,176,184,187],"combine":[22,54,220],"harvester,":[23],"which":[24,60],"requires":[25],"excellent":[26],"expert":[27],"knowledge":[28],"to":[29,79,95,107,110,125,135,152,198,211],"reach":[30],"certain":[32],"level":[33],"of":[34,40,85,129,178,186],"quality.":[35],"This":[36,69],"means":[37],"amount":[39,128],"byproducts":[41,156,194],"including":[42],"straw":[43],"and":[44,145,161,183,195,213],"hulls":[45],"should":[46],"be":[47,108,136,216],"as":[48,50],"small":[49],"possible.":[51],"Inside":[52],"harvester":[55],"several":[56],"sensors":[57],"are":[58],"installed":[59],"deliver":[61],"important":[62],"information":[63],"about":[64,82],"current":[66],"harvesting":[67],"state.":[68],"includes":[70],"visual":[72,170],"based":[73],"sensor":[74],"that":[75,133,149],"constantly":[76],"delivers":[77],"images":[78,132,166],"driver":[81],"composition":[84],"processed":[87],"grain.":[88],"Normally,":[89],"it":[90],"driver\u2019s":[93],"task":[94,117],"decide":[96],"if":[97,103],"quality":[99],"sufficient":[101],"or":[102],"machine":[104],"settings":[105],"need":[106,134],"adjusted":[109],"improve":[111],"outcome.":[113],"Yet,":[114],"resolving":[115],"this":[116],"entirely":[118],"manually":[119],"rather":[121],"error":[122],"prone,":[123],"due":[124],"high":[127],"fairly":[130],"similar":[131],"analyzed":[137],"in":[138],"short":[140],"time.":[141],"Therefore":[142],"we":[143],"designed":[144],"implemented":[146],"system":[148,173],"able":[151,197],"automatically":[153,199],"detect":[154],"unwanted":[155,193],"within":[157],"wheat":[159],"highlight":[162],"those":[163],"parts":[164],"inside":[165],"delivered":[167],"by":[168],"sensor.":[171],"The":[172,189,206],"itself":[174],"combination":[177],"an":[179],"automated":[180],"preprocessing":[181,190],"step":[182,191],"variation":[185],"U\u00adNet.":[188,205],"filters":[192],"generate":[200],"training":[201],"data":[202],"U\u00adNet":[207],"lightweight,":[209],"easy":[210],"train":[212],"can":[214],"potentially":[215],"used":[217],"onboard":[218],"harvester.":[221]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
