{"id":"https://openalex.org/W2734735236","doi":"https://doi.org/10.1109/iwasi.2017.7974257","title":"Optimal design of a Gabor filter for medical imaging applications","display_name":"Optimal design of a Gabor filter for medical imaging applications","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2734735236","doi":"https://doi.org/10.1109/iwasi.2017.7974257","mag":"2734735236"},"language":"en","primary_location":{"id":"doi:10.1109/iwasi.2017.7974257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwasi.2017.7974257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)","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/A5004805770","display_name":"Carmine Cappetta","orcid":"https://orcid.org/0000-0001-5798-378X"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"C. Cappetta","raw_affiliation_strings":["Dept. of Industrial Engineering (D.I. In.), University of Salerno, Fisciano, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Industrial Engineering (D.I. In.), University of Salerno, Fisciano, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030070417","display_name":"Gian Domenico Licciardo","orcid":"https://orcid.org/0000-0002-1913-4928"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G.D. Licciardo","raw_affiliation_strings":["Dept. of Industrial Engineering (D.I. In.), University of Salerno, Fisciano, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Industrial Engineering (D.I. In.), University of Salerno, Fisciano, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026535044","display_name":"Luigi Di Benedetto","orcid":"https://orcid.org/0000-0001-5588-0621"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"L. Di Benedetto","raw_affiliation_strings":["Dept. of Industrial Engineering (D.I. In.), University of Salerno, Fisciano, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Industrial Engineering (D.I. In.), University of Salerno, Fisciano, Italy","institution_ids":["https://openalex.org/I131729948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004805770"],"corresponding_institution_ids":["https://openalex.org/I131729948"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08158368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"93","issue":null,"first_page":"228","last_page":"232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9923999905586243,"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":0.9923999905586243,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9869999885559082,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9869999885559082,"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/application-specific-integrated-circuit","display_name":"Application-specific integrated circuit","score":0.8085713982582092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7331877946853638},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7179975509643555},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.57319575548172},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5202885270118713},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.4890933632850647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4370126724243164},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3615879714488983},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.360604465007782},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3209279179573059},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22771543264389038},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1372566521167755}],"concepts":[{"id":"https://openalex.org/C77390884","wikidata":"https://www.wikidata.org/wiki/Q217302","display_name":"Application-specific integrated circuit","level":2,"score":0.8085713982582092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7331877946853638},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7179975509643555},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.57319575548172},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5202885270118713},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.4890933632850647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4370126724243164},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3615879714488983},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.360604465007782},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3209279179573059},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22771543264389038},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1372566521167755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwasi.2017.7974257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwasi.2017.7974257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1514517335","https://openalex.org/W1526446657","https://openalex.org/W1538725615","https://openalex.org/W1965310394","https://openalex.org/W1970416206","https://openalex.org/W1986910702","https://openalex.org/W1999764161","https://openalex.org/W2006500012","https://openalex.org/W2099383272","https://openalex.org/W2102372511","https://openalex.org/W2109394584","https://openalex.org/W2113050235","https://openalex.org/W2122654271","https://openalex.org/W2154953197","https://openalex.org/W2253977251","https://openalex.org/W2318036221","https://openalex.org/W2507806982","https://openalex.org/W2517514030","https://openalex.org/W2539563177","https://openalex.org/W2548617259","https://openalex.org/W2580775607","https://openalex.org/W2582610640","https://openalex.org/W2583615460","https://openalex.org/W2788803962","https://openalex.org/W3121450883","https://openalex.org/W6629933729","https://openalex.org/W6631245662","https://openalex.org/W6678212512","https://openalex.org/W6732850393","https://openalex.org/W6732868561","https://openalex.org/W6733147861"],"related_works":["https://openalex.org/W2165367082","https://openalex.org/W1972641423","https://openalex.org/W2111241003","https://openalex.org/W611446063","https://openalex.org/W4200391368","https://openalex.org/W2210979487","https://openalex.org/W2074043759","https://openalex.org/W1485756991","https://openalex.org/W2376218453","https://openalex.org/W2984236338"],"abstract_inverted_index":{"The":[0,127],"Gabor":[1,31,67],"filter":[2,68],"has":[3],"gained":[4],"an":[5,119,181],"important":[6],"agreement":[7],"in":[8,36,72,77,101],"multimedia":[9],"processing":[10,38],"and":[11,20,48,55,74,91,110,170,180],"visual":[12],"search":[13],"applications":[14,35],"for":[15,88,118,147,177],"its":[16,24],"good":[17],"spatial":[18],"frequency":[19,143,160],"position":[21],"selectivity,":[22],"notwithstanding":[23],"heavy":[25],"computational":[26],"load.":[27],"For":[28],"these":[29],"reasons,":[30],"filters":[32],"find":[33,61],"useful":[34,117],"the":[37,45,58,62,85,98,106,124,148,165,186,192],"of":[39,65,103,105,144,161,188],"medical":[40],"images,":[41],"aiming":[42],"to":[43,49,53,60,69,185],"enhance":[44],"original":[46],"image":[47],"overcome":[50],"issues":[51],"related":[52],"noise":[54],"artifacts.":[56],"With":[57],"purpose":[59],"optimal":[63],"design":[64],"a":[66,133,140,158,178],"be":[70],"implemented":[71,131],"ASIC":[73,135,182],"FPGA":[75,179],"platforms,":[76],"this":[78],"work":[79],"three":[80],"architectures":[81,100],"are":[82],"presented,":[83,114],"representing":[84],"best":[86,149,187],"trade-offs":[87],"accuracy,":[89],"area":[90],"power":[92,108],"constraints.":[93],"A":[94],"comparative":[95],"study":[96],"among":[97],"proposed":[99],"terms":[102],"allocation":[104],"resources,":[107],"dissipation":[109],"timing":[111],"performances":[112],"is":[113,191],"which":[115,138],"reveals":[116],"informed":[120],"choice":[121],"depending":[122],"on":[123,132],"particular":[125],"application.":[126],"designs":[128],"have":[129],"been":[130],"FPGA-based":[134],"prototyping":[136],"system,":[137],"returns":[139,157],"maximum":[141,159],"operating":[142],"172":[145],"MHz":[146],"case.":[150],"Synthesis":[151],"with":[152],"90nm":[153],"CMOS":[154],"standard":[155],"cell":[156],"350":[162],"MHz.":[163],"Therefore,":[164],"fastest":[166],"architecture":[167],"processes":[168],"83":[169],"168":[171],"Full-HD":[172],"(1920\u00d71080":[173],"pixels)":[174],"frames-per-second,":[175],"respectively":[176],"implementation,":[183],"which,":[184],"our":[189],"knowledge,":[190],"current":[193],"state-of-the-art.":[194]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
