{"id":"https://openalex.org/W2008445229","doi":"https://doi.org/10.1109/ispacs.2013.6704564","title":"Unsupervised structuring element estimation of morphological opening and closing with GA","display_name":"Unsupervised structuring element estimation of morphological opening and closing with GA","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2008445229","doi":"https://doi.org/10.1109/ispacs.2013.6704564","mag":"2008445229"},"language":"en","primary_location":{"id":"doi:10.1109/ispacs.2013.6704564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2013.6704564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Symposium on Intelligent Signal Processing and Communication Systems","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/A5035524625","display_name":"Yosuke Nabetani","orcid":null},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yosuke Nabetani","raw_affiliation_strings":["Graduate School of Science and Engineering Kansai University, Suita, Japan","Grad. School of Sci. and Eng., Kansai University, Suita, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering Kansai University, Suita, Japan","institution_ids":["https://openalex.org/I56624758"]},{"raw_affiliation_string":"Grad. School of Sci. and Eng., Kansai University, Suita, Japan","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089184180","display_name":"Mitsuji Muneyasu","orcid":"https://orcid.org/0000-0002-4492-5991"},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mitsuji Muneyasu","raw_affiliation_strings":["Graduate School of Science and Engineering Kansai University, Suita, Japan","Grad. School of Sci. and Eng., Kansai University, Suita, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering Kansai University, Suita, Japan","institution_ids":["https://openalex.org/I56624758"]},{"raw_affiliation_string":"Grad. School of Sci. and Eng., Kansai University, Suita, Japan","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101954167","display_name":"Akira Asano","orcid":"https://orcid.org/0000-0001-8542-1899"},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Asano","raw_affiliation_strings":["Graduate School of Science and Engineering Kansai University, Suita, Japan","Fac. of Inf., Kansai Univ., Takatsuki, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering Kansai University, Suita, Japan","institution_ids":["https://openalex.org/I56624758"]},{"raw_affiliation_string":"Fac. of Inf., Kansai Univ., Takatsuki, Japan#TAB#","institution_ids":["https://openalex.org/I56624758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035524625"],"corresponding_institution_ids":["https://openalex.org/I56624758"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08345145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2749","issue":"202","first_page":"297","last_page":"302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10638","display_name":"Optical measurement and interference techniques","score":0.9817000031471252,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/structuring-element","display_name":"Structuring element","score":0.7567148208618164},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6321495771408081},{"id":"https://openalex.org/keywords/closing","display_name":"Closing (real estate)","score":0.6131693720817566},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.6106114983558655},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5558089017868042},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.549956202507019},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5041669607162476},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.5027382373809814},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4433038532733917},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.42484328150749207},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4161377549171448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4094921946525574},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3962075710296631},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3424895107746124},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3132662773132324},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30246371030807495},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22881701588630676},{"id":"https://openalex.org/keywords/mathematical-morphology","display_name":"Mathematical morphology","score":0.22527062892913818},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.16175875067710876},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1385033130645752},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13223916292190552}],"concepts":[{"id":"https://openalex.org/C74032544","wikidata":"https://www.wikidata.org/wiki/Q7625238","display_name":"Structuring element","level":5,"score":0.7567148208618164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6321495771408081},{"id":"https://openalex.org/C2778775528","wikidata":"https://www.wikidata.org/wiki/Q5135432","display_name":"Closing (real estate)","level":2,"score":0.6131693720817566},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.6106114983558655},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5558089017868042},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.549956202507019},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5041669607162476},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.5027382373809814},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4433038532733917},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.42484328150749207},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4161377549171448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4094921946525574},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3962075710296631},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3424895107746124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3132662773132324},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30246371030807495},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22881701588630676},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.22527062892913818},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.16175875067710876},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1385033130645752},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13223916292190552},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ispacs.2013.6704564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2013.6704564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Symposium on Intelligent Signal Processing and Communication Systems","raw_type":"proceedings-article"},{"id":"mag:2624055822","is_oa":false,"landing_page_url":"https://www.ieice.org/ken/paper/20130912iB5p/eng/","pdf_url":null,"source":{"id":"https://openalex.org/S4306512848","display_name":"IEICE Technical Report; IEICE Tech. Rep.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEICE Technical Report; IEICE Tech. Rep.","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1499820342","https://openalex.org/W1579871682","https://openalex.org/W1624856959","https://openalex.org/W1639032689","https://openalex.org/W2109239774","https://openalex.org/W2130466809","https://openalex.org/W2167707673","https://openalex.org/W3023540311"],"related_works":["https://openalex.org/W293898824","https://openalex.org/W4206399529","https://openalex.org/W219516321","https://openalex.org/W2184069573","https://openalex.org/W1502771190","https://openalex.org/W2369397543","https://openalex.org/W2118015877","https://openalex.org/W2135791515","https://openalex.org/W1987072451","https://openalex.org/W2137429878"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"an":[5,24,29,42],"unsupervised":[6],"design":[7,20],"method":[8],"for":[9,76],"optimal":[10,30,43],"structuring":[11],"element":[12],"(SE)":[13],"of":[14,21,34,54],"morphological":[15],"filters.":[16],"We":[17,40],"formulate":[18],"the":[19,77],"SE":[22,35,55],"as":[23],"optimization":[25],"problem,":[26],"and":[27,32,45],"estimate":[28],"shape":[31,44],"brightness":[33,46],"directly":[36],"from":[37],"degraded":[38],"images.":[39],"estimated":[41],"by":[47,66],"using":[48],"a":[49],"Genetic":[50],"Algorithm":[51],"(GA).":[52],"Estimation":[53],"that":[56,69],"can":[57],"remove":[58],"noise":[59,79],"while":[60],"preserving":[61],"original":[62],"signals":[63],"is":[64],"achieved":[65],"objective":[67],"function":[68],"use":[70],"Rank-Ordered":[71],"Logarithmic":[72],"Differences":[73],"(ROLD)":[74],"statistic":[75],"impulse":[78],"detection.":[80]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
