{"id":"https://openalex.org/W2910952930","doi":"https://doi.org/10.1109/anzcc.2018.8606549","title":"Application of Non-local Mean Filtering in Real Head MR Image","display_name":"Application of Non-local Mean Filtering in Real Head MR Image","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2910952930","doi":"https://doi.org/10.1109/anzcc.2018.8606549","mag":"2910952930"},"language":"en","primary_location":{"id":"doi:10.1109/anzcc.2018.8606549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/anzcc.2018.8606549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Australian & New Zealand Control Conference (ANZCC)","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/A5044108299","display_name":"Jing Li","orcid":"https://orcid.org/0000-0003-0353-1037"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["China Jiliang University, Hangzhou, P.R.China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Jiliang University, Hangzhou, P.R.China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354112","display_name":"Hongliang Liu","orcid":"https://orcid.org/0000-0002-3368-2728"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongliang Liu","raw_affiliation_strings":["China Jiliang University, Hangzhou, P.R.China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Jiliang University, Hangzhou, P.R.China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101400987","display_name":"Jinlong He","orcid":"https://orcid.org/0000-0002-0772-1594"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong He","raw_affiliation_strings":["China Jiliang University, Hangzhou, P.R.China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Jiliang University, Hangzhou, P.R.China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077769611","display_name":"Pei Yang","orcid":"https://orcid.org/0000-0003-2765-0401"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pei Yang","raw_affiliation_strings":["China Jiliang University, Hangzhou, P.R.China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Jiliang University, Hangzhou, P.R.China","institution_ids":["https://openalex.org/I55538621"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55538621"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"330","last_page":"333"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9919999837875366,"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/noise-reduction","display_name":"Noise reduction","score":0.7514013051986694},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.7011069059371948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6712636947631836},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.631309986114502},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.614532470703125},{"id":"https://openalex.org/keywords/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.6138599514961243},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6093509793281555},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.5972691178321838},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.5500768423080444},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.47537556290626526},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44903799891471863},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.4359123110771179},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43391188979148865},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37079793214797974},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3448895812034607},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.3109097182750702}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7514013051986694},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.7011069059371948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6712636947631836},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.631309986114502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.614532470703125},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.6138599514961243},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6093509793281555},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.5972691178321838},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.5500768423080444},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.47537556290626526},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44903799891471863},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.4359123110771179},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43391188979148865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37079793214797974},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3448895812034607},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.3109097182750702},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/anzcc.2018.8606549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/anzcc.2018.8606549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Australian & New Zealand Control Conference (ANZCC)","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":12,"referenced_works":["https://openalex.org/W631225344","https://openalex.org/W2032871739","https://openalex.org/W2047219150","https://openalex.org/W2073660032","https://openalex.org/W2097073572","https://openalex.org/W2132140814","https://openalex.org/W2133059825","https://openalex.org/W2133665775","https://openalex.org/W2138234438","https://openalex.org/W2150134853","https://openalex.org/W2160798206","https://openalex.org/W6620129317"],"related_works":["https://openalex.org/W1699622673","https://openalex.org/W2391378893","https://openalex.org/W2366833166","https://openalex.org/W1998728244","https://openalex.org/W233850645","https://openalex.org/W2891946237","https://openalex.org/W2933070135","https://openalex.org/W2086035127","https://openalex.org/W2809721801","https://openalex.org/W4311599487"],"abstract_inverted_index":{"MR":[0,20,165],"images":[1,21],"have":[2,9],"high":[3],"resolution":[4],"for":[5,13],"soft":[6],"tissues,":[7],"which":[8,39,96],"been":[10],"widely":[11],"used":[12],"brain":[14],"research.":[15],"During":[16],"the":[17,24,27,42,46,49,61,65,70,77,94,104,107,111,120,155,160],"acquisition":[18],"of":[19,26,37,45,48,54,73,101,106,130,162],"due":[22],"to":[23,60,76],"interference":[25],"hardware":[28],"device":[29],"and":[30,87,132,140,157],"external":[31],"environment,":[32],"it":[33,80,147],"introduces":[34],"a":[35,99],"amount":[36],"noises,":[38],"will":[40,113],"affect":[41],"clinical":[43],"accuracy":[44],"diagnosis":[47],"disease.":[50],"The":[51],"basic":[52],"principle":[53],"non-local":[55,66,121],"mean":[56,62,67,122],"filtering":[57],"is":[58,125,144],"similar":[59],"filter,":[63],"but":[64],"filter":[68],"adds":[69],"weight":[71],"value":[72],"each":[74],"point":[75],"calculation,":[78],"so":[79,109],"can":[81],"be":[82],"ensured":[83],"that":[84,110,146],"when":[85],"neighboring":[86],"very":[88],"different":[89],"points":[90],"are":[91],"averaged":[92],"in":[93,151,159],"box,":[95],"also":[97],"retains":[98],"lot":[100],"details":[102],"on":[103],"edge":[105],"image,":[108],"image":[112],"look":[114],"more":[115],"clear.":[116],"In":[117],"this":[118],"paper,":[119],"denoising":[123,133,152,161],"algorithm":[124],"compared":[126],"with":[127],"three":[128],"kinds":[129],"preserving":[131],"algorithms:":[134],"median":[135],"filtering,":[136,139],"anisotropic":[137],"diffusion":[138],"bilateral":[141],"filtering.":[142],"It":[143],"verified":[145],"has":[148],"good":[149],"performance":[150],"while":[153],"maintaining":[154],"edge,":[156],"applied":[158],"real":[163],"head":[164],"images.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}