{"id":"https://openalex.org/W2165657799","doi":"https://doi.org/10.1109/tsp.2011.6043705","title":"Spatiotemporal filtering for medical images from an infrared camera","display_name":"Spatiotemporal filtering for medical images from an infrared camera","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2165657799","doi":"https://doi.org/10.1109/tsp.2011.6043705","mag":"2165657799"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2011.6043705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.6043705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 34th International Conference on Telecommunications and Signal Processing (TSP)","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/A5049895640","display_name":"Gheorghe Gavriloaia","orcid":"https://orcid.org/0000-0003-1300-4468"},"institutions":[{"id":"https://openalex.org/I185286233","display_name":"University of Pitesti","ror":"https://ror.org/058b16x44","country_code":"RO","type":"education","lineage":["https://openalex.org/I185286233"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Gheorghe Gavriloaia","raw_affiliation_strings":["Electronic and Computer Department, University of Pitesti, Pitesti, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic and Computer Department, University of Pitesti, Pitesti, Romania","institution_ids":["https://openalex.org/I185286233"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010975645","display_name":"Mariuca-Roxana Gavriloaia","orcid":null},"institutions":[{"id":"https://openalex.org/I304011483","display_name":"Grigore T. Popa University of Medicine and Pharmacy","ror":"https://ror.org/03hd30t45","country_code":"RO","type":"education","lineage":["https://openalex.org/I304011483"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Mariuca-Roxana Gavriloaia","raw_affiliation_strings":["Universitatea de Medicina si Farmacie Gr T Popa Iasi, Iasi, RO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitatea de Medicina si Farmacie Gr T Popa Iasi, Iasi, RO","institution_ids":["https://openalex.org/I304011483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5139,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74251773,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"24","issue":null,"first_page":"381","last_page":"384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9975000023841858,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9941999912261963,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9939000010490417,"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":0.7530658841133118},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6977195739746094},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.6889437437057495},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6679834127426147},{"id":"https://openalex.org/keywords/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.5283088088035583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5208340287208557},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4955328702926636},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.47971218824386597},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.44275155663490295},{"id":"https://openalex.org/keywords/spatial-filter","display_name":"Spatial filter","score":0.44176003336906433},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4321719706058502},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4271267056465149},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4252963662147522},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.4124867022037506},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3655768036842346},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24017247557640076},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16359493136405945}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7530658841133118},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6977195739746094},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.6889437437057495},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6679834127426147},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.5283088088035583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5208340287208557},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4955328702926636},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.47971218824386597},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.44275155663490295},{"id":"https://openalex.org/C121475858","wikidata":"https://www.wikidata.org/wiki/Q2735911","display_name":"Spatial filter","level":2,"score":0.44176003336906433},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4321719706058502},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4271267056465149},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4252963662147522},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.4124867022037506},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3655768036842346},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24017247557640076},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16359493136405945}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2011.6043705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.6043705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 34th International Conference on Telecommunications and Signal Processing (TSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W116658961","https://openalex.org/W1533072162","https://openalex.org/W1547791452","https://openalex.org/W1982957666","https://openalex.org/W1995050389","https://openalex.org/W2025080121","https://openalex.org/W2035393886","https://openalex.org/W2068096977","https://openalex.org/W2113824004","https://openalex.org/W2120023453","https://openalex.org/W2133665775","https://openalex.org/W2139196008","https://openalex.org/W2144468361","https://openalex.org/W2146052399","https://openalex.org/W2150134853","https://openalex.org/W2161173798","https://openalex.org/W2164485793","https://openalex.org/W2168896212","https://openalex.org/W3011612142","https://openalex.org/W4234480664","https://openalex.org/W4308665337","https://openalex.org/W6632754731","https://openalex.org/W6684810725"],"related_works":["https://openalex.org/W2359776416","https://openalex.org/W2353788488","https://openalex.org/W4252337044","https://openalex.org/W118630527","https://openalex.org/W2365492952","https://openalex.org/W38289631","https://openalex.org/W2361916204","https://openalex.org/W2365412889","https://openalex.org/W2372011046","https://openalex.org/W2592886773"],"abstract_inverted_index":{"In":[0,31],"this":[1],"paper":[2],"we":[3],"proposed":[4,97],"an":[5],"improved":[6],"method":[7,104],"for":[8,88,130],"images":[9,109],"filtering":[10,50,72],"with":[11],"slow":[12],"time":[13],"variation":[14],"obtained":[15,39],"from":[16,48,76,98,123],"some":[17],"successive":[18],"frames":[19],"of":[20,43,51,58,69,73,92,110,118,139],"a":[21,35,41,70,119],"thermovision":[22],"camera":[23],"investigating":[24],"the":[25,32,44,74,77,82,89,93,99,132],"heat":[26],"radiated":[27],"by":[28,80],"human":[29],"beings.":[30],"first":[33,78],"step,":[34],"single":[36],"image":[37,75,121],"is":[38,61],"as":[40,63],"result":[42],"mean":[45],"value":[46],"evaluation":[47],"median":[49],"all":[52],"temporal":[53],"frames.":[54],"The":[55,65],"standard":[56],"deviation":[57],"each":[59],"pixel":[60],"computed":[62],"well.":[64],"second":[66],"stage":[67],"consisted":[68],"spatial":[71],"step":[79],"using":[81],"anisotropic":[83],"diffusion":[84,94],"filtering.":[85],"New":[86],"relations":[87],"weighted":[90],"coefficients":[91],"matrix":[95],"were":[96],"local":[100],"statistic":[101],"estimators.":[102],"This":[103],"was":[105],"tested":[106],"on":[107],"infrared":[108],"different":[111],"patients.":[112],"Both":[113],"subjective":[114],"and":[115,137],"objective":[116],"evaluations":[117],"patient":[120],"suffering":[122],"papillary":[124],"thyroid":[125],"cancer":[126],"showed":[127],"good":[128],"performances":[129],"improving":[131],"signal":[133],"to":[134],"noise":[135],"ratio":[136],"location":[138],"tumor.":[140]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}