{"id":"https://openalex.org/W2170017766","doi":"https://doi.org/10.1109/emeit.2011.6022989","title":"A mixed de-nosing method of digital image based on removed-noise threshold","display_name":"A mixed de-nosing method of digital image based on removed-noise threshold","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2170017766","doi":"https://doi.org/10.1109/emeit.2011.6022989","mag":"2170017766"},"language":"en","primary_location":{"id":"doi:10.1109/emeit.2011.6022989","is_oa":false,"landing_page_url":"https://doi.org/10.1109/emeit.2011.6022989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2011 International Conference on Electronic &amp; Mechanical Engineering and Information Technology","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/A5013785417","display_name":"Lina Zhang","orcid":"https://orcid.org/0000-0002-5005-1514"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lina Zhang","raw_affiliation_strings":["Department of Electroincs and Information Technology, City College of WenZhou University, WenZhou, Zhejing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electroincs and Information Technology, City College of WenZhou University, WenZhou, Zhejing, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083052448","display_name":"Jiaqing Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqing Tu","raw_affiliation_strings":["Department of Electroincs and Information Technology, City College of WenZhou University, WenZhou, Zhejing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electroincs and Information Technology, City College of WenZhou University, WenZhou, Zhejing, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100773655","display_name":"Zhimin Wang","orcid":"https://orcid.org/0000-0001-5089-977X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhimin Wang","raw_affiliation_strings":["Department of Electroincs and Information Technology Anyang Iron & Stell Group Co.,ltd, AnYang, Henan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electroincs and Information Technology Anyang Iron & Stell Group Co.,ltd, AnYang, Henan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2378,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52502498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"1223","last_page":"1226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9969000220298767,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/pixel","display_name":"Pixel","score":0.6950801610946655},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6936326622962952},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6181408762931824},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5497933626174927},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.49779725074768066},{"id":"https://openalex.org/keywords/salt-and-pepper-noise","display_name":"Salt-and-pepper noise","score":0.4765875041484833},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47328561544418335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4626999497413635},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.45801371335983276},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.43921831250190735},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43002066016197205},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.41754698753356934},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4165641665458679},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4093118906021118},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37526124715805054},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2761070728302002}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6950801610946655},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6936326622962952},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6181408762931824},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5497933626174927},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.49779725074768066},{"id":"https://openalex.org/C113660513","wikidata":"https://www.wikidata.org/wiki/Q849379","display_name":"Salt-and-pepper noise","level":5,"score":0.4765875041484833},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47328561544418335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4626999497413635},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.45801371335983276},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.43921831250190735},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43002066016197205},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.41754698753356934},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4165641665458679},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4093118906021118},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37526124715805054},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2761070728302002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/emeit.2011.6022989","is_oa":false,"landing_page_url":"https://doi.org/10.1109/emeit.2011.6022989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2011 International Conference on Electronic &amp; Mechanical Engineering and Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1570384079","https://openalex.org/W1979524123","https://openalex.org/W1980542374","https://openalex.org/W2097236922","https://openalex.org/W2125527601","https://openalex.org/W2137733585"],"related_works":["https://openalex.org/W2364780020","https://openalex.org/W2364070087","https://openalex.org/W2351699817","https://openalex.org/W2380577081","https://openalex.org/W2053397997","https://openalex.org/W2073083461","https://openalex.org/W3009218516","https://openalex.org/W1969928481","https://openalex.org/W2565116285","https://openalex.org/W2805144247"],"abstract_inverted_index":{"An":[0],"efficient":[1],"mixed":[2],"de-nosing":[3],"method":[4],"of":[5,16,28,45,52],"digital":[6],"image":[7,58],"based":[8,77],"on":[9,78],"removed-noise":[10,19,49],"threshold":[11,20,50],"is":[12,21,26,33,69],"presented.":[13],"The":[14,23],"conception":[15],"neighborhood":[17],"and":[18,48,61],"introduced.":[22],"weight":[24,36],"average":[25,30],"insteaded":[27],"traditional":[29],"operation,":[31],"which":[32,55],"assigned":[34],"as":[35],"value.":[37],"This":[38],"algorithm":[39],"also":[40],"advances":[41],"pixel-block":[42],"operation":[43,47],"instead":[44,51],"pixel-pixel":[46],"segmentation":[53],"threshold,":[54],"causes":[56],"the":[57,67,75,89],"more":[59,70],"explicit":[60],"shows":[62],"obvious":[63],"superiority":[64],"especially":[65],"when":[66],"noise":[68,85],"complex.":[71],"Results":[72],"show":[73],"that":[74],"approach":[76,81],"fuzzy":[79],"smoothing":[80],"provides":[82],"a":[83],"powerful":[84],"removal":[86],"ability":[87],"than":[88],"classical":[90],"ones.":[91]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
