{"id":"https://openalex.org/W4413074113","doi":"https://doi.org/10.1109/tii.2025.3584477","title":"Feature Extraction for Mining Industry Image Based on SAM: A Case Study From Froth Flotation","display_name":"Feature Extraction for Mining Industry Image Based on SAM: A Case Study From Froth Flotation","publication_year":2025,"publication_date":"2025-07-16","ids":{"openalex":"https://openalex.org/W4413074113","doi":"https://doi.org/10.1109/tii.2025.3584477"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2025.3584477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3584477","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-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/A5035211904","display_name":"Runda Jia","orcid":"https://orcid.org/0000-0002-8586-243X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runda Jia","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-8586-243X","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jinglong Wang","orcid":"https://orcid.org/0009-0003-3050-973X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinglong Wang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0009-0003-3050-973X","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007971964","display_name":"Zheng Jun","orcid":"https://orcid.org/0009-0005-7083-9455"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zheng","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0009-0005-7083-9455","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328389","display_name":"Jiahao Li","orcid":"https://orcid.org/0000-0003-1168-8229"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Li","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028079757","display_name":"Dakuo He","orcid":"https://orcid.org/0000-0001-8303-529X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dakuo He","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-8303-529X","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":1.1416,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75468933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"21","issue":"10","first_page":"8165","last_page":"8175"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9972000122070312,"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/T11401","display_name":"Minerals Flotation and Separation Techniques","score":0.9969000220298767,"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/T11073","display_name":"Metal Extraction and Bioleaching","score":0.9671000242233276,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/feature-extraction","display_name":"Feature extraction","score":0.7926157116889954},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5907289385795593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5888930559158325},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5888038873672485},{"id":"https://openalex.org/keywords/froth-flotation","display_name":"Froth flotation","score":0.5817062258720398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5286073088645935},{"id":"https://openalex.org/keywords/mining-industry","display_name":"Mining industry","score":0.5033795237541199},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5020620822906494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44626232981681824},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4044167101383209},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3863466680049896},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2519714832305908},{"id":"https://openalex.org/keywords/mining-engineering","display_name":"Mining engineering","score":0.2279045283794403},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.19130730628967285},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.18221426010131836},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.12170448899269104},{"id":"https://openalex.org/keywords/metallurgy","display_name":"Metallurgy","score":0.07449373602867126}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7926157116889954},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5907289385795593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5888930559158325},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5888038873672485},{"id":"https://openalex.org/C154366045","wikidata":"https://www.wikidata.org/wiki/Q898459","display_name":"Froth flotation","level":2,"score":0.5817062258720398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5286073088645935},{"id":"https://openalex.org/C2984157484","wikidata":"https://www.wikidata.org/wiki/Q44497","display_name":"Mining industry","level":2,"score":0.5033795237541199},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5020620822906494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44626232981681824},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4044167101383209},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3863466680049896},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2519714832305908},{"id":"https://openalex.org/C16674752","wikidata":"https://www.wikidata.org/wiki/Q1370637","display_name":"Mining engineering","level":1,"score":0.2279045283794403},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.19130730628967285},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.18221426010131836},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.12170448899269104},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.07449373602867126},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2025.3584477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3584477","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G6775011481","display_name":"\u57fa\u4e8e\u6570\u636e\u4e0e\u77e5\u8bc6\u9a71\u52a8\u7684\u95f4\u6b47\u8fc7\u7a0b\u6210\u54c1\u8d28\u91cf\u667a\u80fd\u63a7\u5236\u65b9\u6cd5\u7684\u7814\u7a76\u53ca\u5e94\u7528","funder_award_id":"61873049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7565323809","display_name":null,"funder_award_id":"62173078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2001471199","https://openalex.org/W2014900061","https://openalex.org/W2060683204","https://openalex.org/W2194775991","https://openalex.org/W2735443643","https://openalex.org/W2792146583","https://openalex.org/W2901867351","https://openalex.org/W2904752383","https://openalex.org/W2912523509","https://openalex.org/W2980618209","https://openalex.org/W3040557872","https://openalex.org/W3088208891","https://openalex.org/W3088502385","https://openalex.org/W3174770825","https://openalex.org/W3187789686","https://openalex.org/W4316505339","https://openalex.org/W4320802971","https://openalex.org/W4385245566","https://openalex.org/W4386912062","https://openalex.org/W4387675796","https://openalex.org/W4390874575","https://openalex.org/W4396243099","https://openalex.org/W4400672087","https://openalex.org/W4402703114"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2377297411","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W3148217948","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W2375788636","https://openalex.org/W2256933480","https://openalex.org/W2358561207"],"abstract_inverted_index":{"Froth":[0],"image":[1,63,143],"features":[2],"serve":[3],"as":[4],"crucial":[5],"reference":[6],"indicators":[7],"for":[8,88,141],"optimizing":[9],"productivity":[10],"under":[11],"complex":[12],"flotation":[13],"process":[14],"conditions.":[15],"However,":[16],"due":[17],"to":[18,54,82,96,125],"the":[19,22,26,67,72,75,127],"instability":[20],"of":[21,32,57,71,120,130],"production":[23],"environment,":[24],"calculating":[25],"size":[27],"distribution":[28],"and":[29,60],"froth":[30,33,62,89,100,104,142],"velocity":[31,105],"images":[34],"proves":[35],"challenging.":[36],"This":[37],"article":[38,135],"investigates":[39],"a":[40,50,103,117,137],"feature":[41,64,85,144],"extraction":[42],"method":[43,79,107],"based":[44,108],"on":[45,109],"segment":[46],"anything":[47],"model":[48,131],"(SAM),":[49],"visual":[51],"foundation":[52],"model,":[53,74],"address":[55],"issues":[56],"low":[58],"accuracy":[59],"time-intensive":[61],"extraction.":[65,145],"Leveraging":[66],"instance":[68,111],"segmentation":[69,112],"performance":[70],"SAM":[73,98],"low-rank":[76],"adaptation":[77],"fine-tuning":[78],"is":[80,94,114,123],"employed":[81],"enhance":[83],"SAM\u2019s":[84,110],"modeling":[86],"capability":[87],"images.":[90],"A":[91],"mask-prompt":[92],"generator":[93],"designed":[95],"guide":[97],"in":[99],"segmentation.":[101],"Subsequently,":[102],"calculation":[106],"results":[113],"proposed.":[115],"Only":[116],"small":[118],"amount":[119],"training":[121],"data":[122],"required":[124],"achieve":[126],"desired":[128],"level":[129],"performance.":[132],"Ultimately,":[133],"this":[134],"implements":[136],"unified":[138],"algorithmic":[139],"framework":[140]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
