{"id":"https://openalex.org/W4384702642","doi":"https://doi.org/10.1109/iwssip58668.2023.10180297","title":"Comparing image processing techniques for bubble separation and counting in underwater leaks","display_name":"Comparing image processing techniques for bubble separation and counting in underwater leaks","publication_year":2023,"publication_date":"2023-06-27","ids":{"openalex":"https://openalex.org/W4384702642","doi":"https://doi.org/10.1109/iwssip58668.2023.10180297"},"language":"en","primary_location":{"id":"doi:10.1109/iwssip58668.2023.10180297","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iwssip58668.2023.10180297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP)","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/A5033419961","display_name":"Rogerio Costa Hart","orcid":"https://orcid.org/0009-0003-0258-9410"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rogerio C. Hart","raw_affiliation_strings":["Computing Institute, Univ. Federal Fluminense - UFF,Niterói,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing Institute, Univ. Federal Fluminense - UFF,Niterói,Brazil","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010487704","display_name":"Luiz Marcos Garcia Gon\u00e7alves","orcid":"https://orcid.org/0000-0002-7735-5630"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luiz Marcos G. Goncalves","raw_affiliation_strings":["Univ. Federal do Rio Grande do Norte - UFRN,Dep. of Computing Eng. and Automation,Natal,Brazil","Dep. of Computing Eng. and Automation, Univ. Federal do Rio Grande do Norte - UFRN, Natal, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Federal do Rio Grande do Norte - UFRN,Dep. of Computing Eng. and Automation,Natal,Brazil","institution_ids":["https://openalex.org/I35046152"]},{"raw_affiliation_string":"Dep. of Computing Eng. and Automation, Univ. Federal do Rio Grande do Norte - UFRN, Natal, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048172675","display_name":"Aura Conci","orcid":"https://orcid.org/0000-0003-0782-2501"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Aura Conci","raw_affiliation_strings":["Computing Institute, Univ. Federal Fluminense - UFF,Niterói,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing Institute, Univ. Federal Fluminense - UFF,Niterói,Brazil","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069933549","display_name":"Dunfrey Pires Arag\u00e3o","orcid":"https://orcid.org/0000-0002-2401-6985"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Dunfrey P. Aragao","raw_affiliation_strings":["Univ. Federal do Rio Grande do Norte - UFRN,Dep. of Computing Eng. and Automation,Natal,Brazil","Dep. of Computing Eng. and Automation, Univ. Federal do Rio Grande do Norte - UFRN, Natal, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Federal do Rio Grande do Norte - UFRN,Dep. of Computing Eng. and Automation,Natal,Brazil","institution_ids":["https://openalex.org/I35046152"]},{"raw_affiliation_string":"Dep. of Computing Eng. and Automation, Univ. Federal do Rio Grande do Norte - UFRN, Natal, Brazil","institution_ids":["https://openalex.org/I35046152"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12316","display_name":"Oil Spill Detection and Mitigation","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"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/T12316","display_name":"Oil Spill Detection and Mitigation","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9811999797821045,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.7488451600074768},{"id":"https://openalex.org/keywords/bubble","display_name":"Bubble","score":0.6941850185394287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.59501051902771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5649874806404114},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.519684374332428},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5156651735305786},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33729881048202515},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18046057224273682},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1746046543121338},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.06355562806129456}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.7488451600074768},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.6941850185394287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.59501051902771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5649874806404114},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.519684374332428},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5156651735305786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33729881048202515},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18046057224273682},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1746046543121338},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.06355562806129456},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwssip58668.2023.10180297","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iwssip58668.2023.10180297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320314235","display_name":"TED","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W766160502","https://openalex.org/W1627054999","https://openalex.org/W1993624791","https://openalex.org/W2012231760","https://openalex.org/W2797515526","https://openalex.org/W4231295697","https://openalex.org/W4290759739","https://openalex.org/W4292231304","https://openalex.org/W4323568857"],"related_works":["https://openalex.org/W2072214669","https://openalex.org/W2928956957","https://openalex.org/W3137839740","https://openalex.org/W938380018","https://openalex.org/W2369700007","https://openalex.org/W3129210721","https://openalex.org/W2354156280","https://openalex.org/W1613422971","https://openalex.org/W2059848165","https://openalex.org/W4383163774"],"abstract_inverted_index":{"This":[0],"work":[1],"aims":[2],"to":[3,8],"present":[4],"a":[5],"study":[6],"realized":[7],"improve":[9],"the":[10,29,56],"counting":[11,60],"of":[12,19,37,61,70],"bubbles":[13,38,64],"in":[14,55,68],"underwater":[15],"videos":[16],"for":[17,87],"applications":[18],"oil":[20],"spill":[21],"or":[22],"natural":[23],"exudation":[24],"detection.":[25],"It":[26,51],"explains":[27],"all":[28],"accomplished":[30],"results":[31],"through":[32],"used":[33,81],"techniques.":[34,50],"The":[35,80],"numbers":[36],"and":[39,47,59,78,83],"their":[40],"positions":[41],"are":[42,66,85],"compared":[43],"versus":[44],"human":[45],"observations":[46],"with":[48],"previous":[49],"shows":[52],"an":[53],"improvement":[54],"detection,":[57],"separation":[58],"very":[62],"close":[63],"that":[65],"presented":[67],"terms":[69],"accuracy,":[71],"sensitivity,":[72],"specificity,":[73],"predictivity,":[74],"efficiency,":[75],"Youden":[76],"index":[77],"F-Score.":[79],"video":[82],"frames":[84],"available":[86],"future":[88],"comparison.":[89]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}