{"id":"https://openalex.org/W2570659304","doi":"https://doi.org/10.1109/cist.2016.7805084","title":"Efficient image denoising method based on mathematical morphology reconstruction and the Non-Local Means filter for the MRI of the head","display_name":"Efficient image denoising method based on mathematical morphology reconstruction and the Non-Local Means filter for the MRI of the head","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2570659304","doi":"https://doi.org/10.1109/cist.2016.7805084","mag":"2570659304"},"language":"en","primary_location":{"id":"doi:10.1109/cist.2016.7805084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cist.2016.7805084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 4th IEEE International Colloquium on Information Science and Technology (CiSt)","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/A5074135253","display_name":"Abdelhamid El Hassani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abdelhamid El Hassani","raw_affiliation_strings":["Faculty of Sciences and Technologies, ISA Laboratory, Fez, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Sciences and Technologies, ISA Laboratory, Fez, Morocco","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086151791","display_name":"Aicha Majda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aicha Majda","raw_affiliation_strings":["Faculty of Sciences and Technologies, ISA Laboratory, Fez, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Sciences and Technologies, ISA Laboratory, Fez, Morocco","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"422","last_page":"427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9958999752998352,"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":0.9918000102043152,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7281579971313477},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7017822861671448},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6806207895278931},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6576460003852844},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6571457386016846},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.6276106834411621},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.600788950920105},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5620098114013672},{"id":"https://openalex.org/keywords/structuring-element","display_name":"Structuring element","score":0.5514340996742249},{"id":"https://openalex.org/keywords/rician-fading","display_name":"Rician fading","score":0.5105582475662231},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.5063599348068237},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.48954829573631287},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.4623739421367645},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.448726087808609},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.44348204135894775},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.43778523802757263},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.42550474405288696},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38698944449424744},{"id":"https://openalex.org/keywords/mathematical-morphology","display_name":"Mathematical morphology","score":0.32104578614234924},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23308086395263672},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.22715812921524048}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7281579971313477},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7017822861671448},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6806207895278931},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6576460003852844},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6571457386016846},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.6276106834411621},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.600788950920105},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5620098114013672},{"id":"https://openalex.org/C74032544","wikidata":"https://www.wikidata.org/wiki/Q7625238","display_name":"Structuring element","level":5,"score":0.5514340996742249},{"id":"https://openalex.org/C60472773","wikidata":"https://www.wikidata.org/wiki/Q7331156","display_name":"Rician fading","level":4,"score":0.5105582475662231},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.5063599348068237},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.48954829573631287},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.4623739421367645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.448726087808609},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.44348204135894775},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.43778523802757263},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.42550474405288696},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38698944449424744},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.32104578614234924},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23308086395263672},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.22715812921524048},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cist.2016.7805084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cist.2016.7805084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 4th IEEE International Colloquium on Information Science and Technology (CiSt)","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":14,"referenced_works":["https://openalex.org/W631225344","https://openalex.org/W787382797","https://openalex.org/W1431586989","https://openalex.org/W2073284339","https://openalex.org/W2073660032","https://openalex.org/W2075200603","https://openalex.org/W2132140814","https://openalex.org/W2136396015","https://openalex.org/W2142592339","https://openalex.org/W2157840858","https://openalex.org/W2188425165","https://openalex.org/W2196103734","https://openalex.org/W4247928114","https://openalex.org/W6687598320"],"related_works":["https://openalex.org/W2357143406","https://openalex.org/W2429125578","https://openalex.org/W2160935107","https://openalex.org/W2349062005","https://openalex.org/W2369397543","https://openalex.org/W2892082603","https://openalex.org/W4206399529","https://openalex.org/W1987072451","https://openalex.org/W2109932938","https://openalex.org/W2382904344"],"abstract_inverted_index":{"The":[0,52,73,159],"efficient":[1],"Non-Local":[2],"Means":[3],"denoising":[4],"algorithm":[5,110],"modifies":[6],"the":[7,13,21,27,41,64,69,79,86,93,96,104,109,126,141,146,151,166,170,178,182,189,195,199],"intensity":[8],"of":[9,16,40,59,153],"each":[10],"pixel":[11],"by":[12],"weighted":[14],"average":[15],"all":[17,202],"similar":[18,33],"pixels":[19],"in":[20,35],"noisy":[22],"image.":[23,72,94],"It":[24],"stems":[25],"from":[26,68,78,92],"assumption":[28],"that":[29,188],"there":[30],"are":[31],"many":[32],"structures":[34],"natural":[36],"images.":[37],"Many":[38],"adaptations":[39],"NLM":[42,54,70,172,196],"filter":[43,173,197],"has":[44],"been":[45],"widely":[46],"used":[47,163],"for":[48],"MRI":[49,80],"image":[50,81,127,148],"denoising.":[51],"Unbiased":[53,171],"is":[55,162,174],"a":[56,136],"popular":[57],"one":[58],"these":[60],"methods":[61],"which":[62,107,140],"subtracts":[63],"rician":[65,98],"noise":[66,99,167,204],"bias":[67,74,100,168],"filtered":[71],"can":[75],"be":[76,90],"estimated":[77,97,183],"background.":[82,132],"Prior":[83],"to":[84,89,124,145,149,164],"that,":[85],"background":[87,161],"needs":[88],"extracted":[91],"However,":[95],"depends":[101],"strongly":[102],"on":[103,121,177],"segmentation":[105,119],"process":[106],"affects":[108],"performance.":[111],"In":[112],"this":[113],"work,":[114],"we":[115,134],"propose":[116,135],"an":[117,155],"accurate":[118],"based":[120],"morphological":[122],"reconstruction":[123],"separate":[125],"into":[128],"two":[129],"regions-foreground":[130],"and":[131,198],"Initially,":[133],"dynamic":[137],"structuring":[138,157],"element":[139],"shape":[142],"adapt":[143],"according":[144],"input":[147],"avoid":[150],"problem":[152],"choosing":[154],"appropriate":[156],"element.":[158],"obtained":[160,179],"estimate":[165],"while":[169],"applied":[175],"topically":[176],"foreground":[180],"using":[181],"bias.":[184],"Experimental":[185],"results":[186],"show":[187],"proposed":[190],"method":[191],"perform":[192],"better":[193],"than":[194],"UNLM":[200],"under":[201],"tested":[203],"levels.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}