{"id":"https://openalex.org/W2999272562","doi":"https://doi.org/10.1109/apccas47518.2019.8953140","title":"Noise Reduction of Segmented Images by Spatio-Temporal Morphological Operations","display_name":"Noise Reduction of Segmented Images by Spatio-Temporal Morphological Operations","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2999272562","doi":"https://doi.org/10.1109/apccas47518.2019.8953140","mag":"2999272562"},"language":"en","primary_location":{"id":"doi:10.1109/apccas47518.2019.8953140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas47518.2019.8953140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","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/A5101060613","display_name":"Shingo Kobayashi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shingo Kobayashi","raw_affiliation_strings":["Department of Computer Science, Graduate School of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Graduate School of Science and Technology","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035420223","display_name":"Ryusuke Miyamoto","orcid":"https://orcid.org/0000-0001-9450-4493"},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryusuke Miyamoto","raw_affiliation_strings":["Department of Computer Science, School of Science and Technology, Meiji University, Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Science and Technology, Meiji University, Kawasaki, Japan","institution_ids":["https://openalex.org/I16656306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101060613"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3037,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62127626,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"297","last_page":"300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/computer-science","display_name":"Computer science","score":0.7369306087493896},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7272944450378418},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7237917184829712},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6886231899261475},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6680580973625183},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6638190150260925},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.595455527305603},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5175430178642273},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.482243150472641},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4716082215309143},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43586963415145874},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30219435691833496},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12691327929496765}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7369306087493896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7272944450378418},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7237917184829712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6886231899261475},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6680580973625183},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6638190150260925},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.595455527305603},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5175430178642273},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.482243150472641},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4716082215309143},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43586963415145874},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30219435691833496},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12691327929496765},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apccas47518.2019.8953140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas47518.2019.8953140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W60978252","https://openalex.org/W116751493","https://openalex.org/W1600311686","https://openalex.org/W1977615841","https://openalex.org/W1988208977","https://openalex.org/W2031031248","https://openalex.org/W2052634962","https://openalex.org/W2150674727","https://openalex.org/W2293349265","https://openalex.org/W2542922315","https://openalex.org/W2766462585","https://openalex.org/W2911034023","https://openalex.org/W2990366806","https://openalex.org/W2992858189","https://openalex.org/W3002971773","https://openalex.org/W6604820715","https://openalex.org/W6657952867","https://openalex.org/W6773165820"],"related_works":["https://openalex.org/W1975289146","https://openalex.org/W2105887828","https://openalex.org/W2122599759","https://openalex.org/W4236520801","https://openalex.org/W4379231730","https://openalex.org/W1537234410","https://openalex.org/W4389858081","https://openalex.org/W1995022398","https://openalex.org/W2484602794","https://openalex.org/W1522196789"],"abstract_inverted_index":{"To":[0,60],"realize":[1],"more":[2],"effective":[3],"and":[4],"reasonable":[5],"systems":[6],"for":[7,18,70,124],"robot":[8,19],"navigation,":[9],"this":[10,62,64],"paper":[11,65],"proposes":[12,66],"a":[13,54,67,117],"novel":[14,68],"visual":[15,31],"navigation":[16,20,32],"scheme":[17,33,69,110],"that":[21,87],"strongly":[22],"depends":[23],"on":[24,53,77],"the":[25,42,88,100,108,128,131],"result":[26],"of":[27,73,90,120,130],"semantic":[28,58],"segmentation.":[29,59],"The":[30],"showed":[34,86],"good":[35],"performance":[36],"in":[37,127],"some":[38],"actual":[39],"scenes.":[40],"However,":[41],"current":[43],"implementation":[44],"does":[45],"not":[46],"work":[47],"well":[48],"if":[49],"noise":[50,71,91,113],"regions":[51,92,114],"emerge":[52],"movable":[55],"area":[56],"after":[57],"solve":[61],"problem,":[63],"reduction":[72],"segmented":[74],"images":[75],"based":[76],"three-dimensional":[78],"morphological":[79],"operations":[80],"using":[81],"spatio-temporal":[82,132],"images.":[83],"Experimental":[84],"results":[85],"number":[89,119],"could":[93,111],"be":[94],"reduced":[95],"to":[96],"zero":[97],"while":[98],"keeping":[99],"false":[101],"negative":[102],"value":[103],"at":[104],"1.":[105],"In":[106],"addition,":[107],"proposed":[109],"remove":[112],"even":[115],"though":[116],"smaller":[118],"frames":[121],"was":[122],"used":[123],"filtering":[125],"than":[126],"case":[129],"mode":[133],"filter":[134],"previously":[135],"proposed.":[136]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
