{"id":"https://openalex.org/W2169573547","doi":"https://doi.org/10.1109/icarcv.2002.1238547","title":"Image analysis based control of zinc flotation - a multi-camera approach","display_name":"Image analysis based control of zinc flotation - a multi-camera approach","publication_year":2004,"publication_date":"2004-03-23","ids":{"openalex":"https://openalex.org/W2169573547","doi":"https://doi.org/10.1109/icarcv.2002.1238547","mag":"2169573547"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2002.1238547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2002.1238547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002.","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/A5070361905","display_name":"Jani Kaartinen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"J. Kaartinen","raw_affiliation_strings":["Control Errgineering Laboratory, Helsinki University of Technology, Finland"],"affiliations":[{"raw_affiliation_string":"Control Errgineering Laboratory, Helsinki University of Technology, Finland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012878434","display_name":"J. H\u00e4t\u00f6nen","orcid":null},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"J. Hatonen","raw_affiliation_strings":["Systems Engineering Laboratory, University Of Oulu, Finland"],"affiliations":[{"raw_affiliation_string":"Systems Engineering Laboratory, University Of Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021914859","display_name":"J. Miettunen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. Miettunen","raw_affiliation_strings":["Inmet Mining, Pyhiisalmi Mine Oy, Finland"],"affiliations":[{"raw_affiliation_string":"Inmet Mining, Pyhiisalmi Mine Oy, Finland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083128669","display_name":"Olli Ojala","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"O. Ojala","raw_affiliation_strings":["Control Errgineering Laboratory, Helsinki University of Technology, Finland"],"affiliations":[{"raw_affiliation_string":"Control Errgineering Laboratory, Helsinki University of Technology, Finland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070361905"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2688,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.85342585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"920","last_page":"925"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11401","display_name":"Minerals Flotation and Separation Techniques","score":0.9763000011444092,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11401","display_name":"Minerals Flotation and Separation Techniques","score":0.9763000011444092,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9524999856948853,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/zinc","display_name":"Zinc","score":0.6855446100234985},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.557280421257019},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5393801331520081},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5169474482536316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4766886234283447},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.19219279289245605},{"id":"https://openalex.org/keywords/metallurgy","display_name":"Metallurgy","score":0.11055788397789001}],"concepts":[{"id":"https://openalex.org/C535196362","wikidata":"https://www.wikidata.org/wiki/Q758","display_name":"Zinc","level":2,"score":0.6855446100234985},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.557280421257019},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5393801331520081},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5169474482536316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4766886234283447},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.19219279289245605},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.11055788397789001}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2002.1238547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2002.1238547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1590371131","https://openalex.org/W2004648841","https://openalex.org/W2011820717","https://openalex.org/W2113601945","https://openalex.org/W2153722501","https://openalex.org/W2617840523","https://openalex.org/W2619157076","https://openalex.org/W3017977864","https://openalex.org/W4251409835","https://openalex.org/W6775985659","https://openalex.org/W6999574336"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"In":[0],"this":[1,62],"paper":[2],"a":[3,14,67],"new":[4],"multi-camera":[5,19],"set-up":[6],"is":[7,34],"introduced":[8],"to":[9,52,76],"improve":[10,77],"the":[11,23,54,80,85],"controllability":[12],"of":[13,61,84],"zinc":[15,86],"flotation":[16,29,55],"process.":[17],"The":[18,31,59],"system":[20,63,69],"can":[21],"analyze":[22],"froth":[24,32],"appearance":[25,33],"simultaneously":[26],"from":[27],"six":[28],"cells.":[30],"characterized":[35],"with":[36],"twelve":[37],"different":[38],"parameters":[39,49],"that":[40,70],"are":[41,50],"calculated":[42],"separately":[43],"for":[44],"each":[45],"cell,":[46],"and":[47,82],"these":[48],"used":[51],"control":[53],"process":[56],"in":[57,74],"real-time.":[58],"development":[60],"was":[64],"motivated":[65],"by":[66],"single-camera":[68],"has":[71],"been":[72],"shown":[73],"practice":[75],"considerably":[78],"both":[79],"grade":[81],"recovery":[83],"circuit.":[87]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
