{"id":"https://openalex.org/W3193695748","doi":"https://doi.org/10.1109/access.2021.3107371","title":"An Efficient Gabor Walsh-Hadamard Transform Based Approach for Retrieving Brain Tumor Images From MRI","display_name":"An Efficient Gabor Walsh-Hadamard Transform Based Approach for Retrieving Brain Tumor Images From MRI","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3193695748","doi":"https://doi.org/10.1109/access.2021.3107371","mag":"3193695748"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3107371","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3107371","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09521518.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09521518.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073834872","display_name":"K. Venkatachalam","orcid":"https://orcid.org/0000-0002-2353-8853"},"institutions":[{"id":"https://openalex.org/I48018076","display_name":"Christ University","ror":"https://ror.org/022tv9y30","country_code":"IN","type":"education","lineage":["https://openalex.org/I48018076"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Venkatachalam","raw_affiliation_strings":["Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore,560074,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore,560074,India","institution_ids":["https://openalex.org/I48018076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057305454","display_name":"Siuly Siuly","orcid":"https://orcid.org/0000-0003-2491-0546"},"institutions":[{"id":"https://openalex.org/I71270174","display_name":"Victoria University","ror":"https://ror.org/04j757h98","country_code":"AU","type":"education","lineage":["https://openalex.org/I71270174"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Siuly Siuly","raw_affiliation_strings":["Institute for Sustainable Industries & Liveable Cities, Victoria University, Melbourne,14428, Australia"],"raw_orcid":"https://orcid.org/0000-0003-2491-0546","affiliations":[{"raw_affiliation_string":"Institute for Sustainable Industries & Liveable Cities, Victoria University, Melbourne,14428, Australia","institution_ids":["https://openalex.org/I71270174"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064081550","display_name":"Neboj\u0161a Ba\u010danin","orcid":"https://orcid.org/0000-0002-2062-924X"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]},{"id":"https://openalex.org/I75092371","display_name":"University of Hradec Kr\u00e1lov\u00e9","ror":"https://ror.org/05k238v14","country_code":"CZ","type":"education","lineage":["https://openalex.org/I75092371"]}],"countries":["CZ","RS"],"is_corresponding":false,"raw_author_name":"Nebojsa Bacanin","raw_affiliation_strings":["Singidunum University, Belgrade, Serbia,160622. (e-mail: nbacanin@singidunum.ac.rs)","of , Faculty of Science, University of Hradec Kr\u00e1lov\u00e9 , , , ,"],"raw_orcid":"https://orcid.org/0000-0002-2062-924X","affiliations":[{"raw_affiliation_string":"Singidunum University, Belgrade, Serbia,160622. (e-mail: nbacanin@singidunum.ac.rs)","institution_ids":["https://openalex.org/I170253739"]},{"raw_affiliation_string":"of , Faculty of Science, University of Hradec Kr\u00e1lov\u00e9 , , , ,","institution_ids":["https://openalex.org/I75092371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031113286","display_name":"\u0160t\u011bp\u00e1n Hub\u00e1lovsk\u00fd","orcid":"https://orcid.org/0000-0002-1570-222X"},"institutions":[{"id":"https://openalex.org/I75092371","display_name":"University of Hradec Kr\u00e1lov\u00e9","ror":"https://ror.org/05k238v14","country_code":"CZ","type":"education","lineage":["https://openalex.org/I75092371"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Stepan Hubalovsky","raw_affiliation_strings":["Department of Applied Cybernetics, Faculty of Science, University of Hradec Kr\u00e1lov\u00e9, 50003 Hradec Kr\u00e1lov\u00e9, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Cybernetics, Faculty of Science, University of Hradec Kr\u00e1lov\u00e9, 50003 Hradec Kr\u00e1lov\u00e9, Czech Republic","institution_ids":["https://openalex.org/I75092371"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072631017","display_name":"Pavel Trojovsk\u00fd","orcid":"https://orcid.org/0000-0001-8992-125X"},"institutions":[{"id":"https://openalex.org/I75092371","display_name":"University of Hradec Kr\u00e1lov\u00e9","ror":"https://ror.org/05k238v14","country_code":"CZ","type":"education","lineage":["https://openalex.org/I75092371"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Pavel Trojovsky","raw_affiliation_strings":["Department of Mathematics, Faculty of Science, University of Hradec Kr\u00e1lov\u00e9, 50003 Hradec Kr\u00e1lov\u00e9, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0001-8992-125X","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Faculty of Science, University of Hradec Kr\u00e1lov\u00e9, 50003 Hradec Kr\u00e1lov\u00e9, Czech Republic","institution_ids":["https://openalex.org/I75092371"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.5227,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.91198529,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"119078","last_page":"119089"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983999729156494,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983999729156494,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.7930222749710083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6787427663803101},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5534020662307739},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5474014282226562},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5273626446723938},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4989128112792969},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4798716604709625},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.477113276720047},{"id":"https://openalex.org/keywords/gabor-wavelet","display_name":"Gabor wavelet","score":0.41604435443878174},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.4159894585609436},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.41347578167915344},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.3961642384529114},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3354046642780304},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.2773815989494324},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.2199341058731079}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7930222749710083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6787427663803101},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5534020662307739},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5474014282226562},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5273626446723938},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4989128112792969},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4798716604709625},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.477113276720047},{"id":"https://openalex.org/C136902061","wikidata":"https://www.wikidata.org/wiki/Q16981559","display_name":"Gabor wavelet","level":5,"score":0.41604435443878174},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.4159894585609436},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.41347578167915344},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3961642384529114},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3354046642780304},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.2773815989494324},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.2199341058731079},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2021.3107371","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3107371","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09521518.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:eprints.vu.edu.au:44534","is_oa":true,"landing_page_url":"https://vuir.vu.edu.au/44534/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400215","display_name":"Victoria University Research Repository (Victoria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I41156924","host_organization_name":"Victoria University of Wellington","host_organization_lineage":["https://openalex.org/I41156924"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:doaj.org/article:b06eaf36c794485a872798a150feefa5","is_oa":true,"landing_page_url":"https://doaj.org/article/b06eaf36c794485a872798a150feefa5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 119078-119089 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3107371","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3107371","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09521518.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3193695748.pdf","grobid_xml":"https://content.openalex.org/works/W3193695748.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W622881073","https://openalex.org/W855255571","https://openalex.org/W1982269655","https://openalex.org/W1985215121","https://openalex.org/W2031802401","https://openalex.org/W2035626876","https://openalex.org/W2060040777","https://openalex.org/W2074756078","https://openalex.org/W2089575713","https://openalex.org/W2122047505","https://openalex.org/W2137475834","https://openalex.org/W2140996450","https://openalex.org/W2165731615","https://openalex.org/W2167604197","https://openalex.org/W2226808373","https://openalex.org/W2295250154","https://openalex.org/W2334763311","https://openalex.org/W2411648952","https://openalex.org/W2466943523","https://openalex.org/W2497426408","https://openalex.org/W2527747047","https://openalex.org/W2550949572","https://openalex.org/W2561838716","https://openalex.org/W2601707599","https://openalex.org/W2613456556","https://openalex.org/W2763927521","https://openalex.org/W2768896610","https://openalex.org/W2893347629","https://openalex.org/W2901364394","https://openalex.org/W2902466377","https://openalex.org/W2910541852","https://openalex.org/W2943858452","https://openalex.org/W2956015785","https://openalex.org/W2963224766","https://openalex.org/W2963691855","https://openalex.org/W2966076645","https://openalex.org/W2967232516","https://openalex.org/W2979672661","https://openalex.org/W2998623084","https://openalex.org/W3018950436","https://openalex.org/W3042634141","https://openalex.org/W3048234715","https://openalex.org/W3087969957","https://openalex.org/W3116021919","https://openalex.org/W3116671976","https://openalex.org/W3134635913","https://openalex.org/W6623445213","https://openalex.org/W6719653328","https://openalex.org/W6791329029"],"related_works":["https://openalex.org/W2746816529","https://openalex.org/W2900811989","https://openalex.org/W2341223103","https://openalex.org/W2905186525","https://openalex.org/W1499339903","https://openalex.org/W2044706866","https://openalex.org/W2031096531","https://openalex.org/W2080928936","https://openalex.org/W4367727948","https://openalex.org/W3198880640"],"abstract_inverted_index":{"Brain":[0],"tumors":[1,224],"are":[2],"a":[3,18,25,79,119,193],"serious":[4],"and":[5,61,139,163,183,218,225,238,253],"death-defying":[6],"disease":[7],"for":[8,28,95,145,150,159,236,240],"human":[9],"life.":[10],"Discovering":[11],"an":[12,244],"appropriate":[13],"brain":[14,98,196,223],"tumor":[15,99,197],"image":[16,49,137,182,199],"from":[17,101,109,154],"magnetic":[19],"resonance":[20],"imaging":[21],"(MRI)":[22],"archive":[23],"is":[24,51,72,128],"challenging":[26],"job":[27],"the":[29,37,47,58,62,67,102,136,161,177,180,212],"radiologist.":[30],"Most":[31],"search":[32],"engines":[33],"retrieve":[34],"images":[35,100,111],"on":[36,131,192],"basis":[38],"of":[39,97,148,211],"traditional":[40],"text-based":[41],"approaches.":[42],"The":[43,186,201,230],"main":[44],"challenge":[45],"in":[46,74,221],"MRI":[48,59,110,155,198],"analysis":[50],"that":[52,174,205,249],"low-level":[53],"visual":[54],"information":[55,64],"captured":[56],"by":[57,66,77],"machine":[60],"high-level":[63],"identified":[65],"assessor.":[68],"This":[69],"semantic":[70],"gap":[71],"addressed":[73],"this":[75,85],"study":[76],"designing":[78],"new":[80],"feature":[81,120],"extraction":[82,121],"technique.":[83],"In":[84],"paper,":[86],"we":[87,106,117,166],"introduce":[88],"Content-Based":[89],"Medical":[90],"Image":[91],"retrieval":[92,96],"(CBMIR)":[93],"system":[94,248],"large":[103],"data.":[104],"Firstly,":[105],"remove":[107],"noise":[108],"employing":[112],"several":[113],"filtering":[114,125],"techniques.":[115],"Afterward,":[116],"design":[118,189],"scheme":[122],"combining":[123],"Gabor":[124],"technique":[126,144],"(which":[127],"mainly":[129],"focused":[130],"specific":[132],"frequency":[133],"content":[134],"at":[135],"region)":[138],"Walsh-Hadamard":[140],"transform":[141,220],"(WHT)":[142],"(conquer":[143],"easy":[146],"configuration":[147],"image)":[149],"discovering":[151],"representative":[152],"features":[153],"images.":[156,185],"After":[157],"that,":[158],"retrieving":[160],"accurate":[162],"reliable":[164],"image,":[165],"employ":[167],"Fuzzy":[168],"C-Means":[169],"clustering":[170],"Minkowski":[171],"distance":[172],"metric":[173],"can":[175],"evaluate":[176],"similarity":[178],"between":[179],"query":[181],"database":[184],"proposed":[187,207,231],"methodology":[188],"was":[190],"tested":[191],"publicly":[194],"available":[195],"database.":[200],"experimental":[202],"results":[203,255],"demonstrate":[204],"our":[206],"approach":[208,232],"outperforms":[209],"most":[210],"existing":[213],"techniques":[214],"like":[215],"Gabor,":[216],"wavelet,":[217],"Hough":[219],"detecting":[222],"also":[226,239],"take":[227],"less":[228],"time.":[229],"will":[233,250],"be":[234],"beneficial":[235],"radiologists":[237],"technologists":[241],"to":[242],"build":[243],"automatic":[245],"decision":[246],"support":[247],"produce":[251],"reproducible":[252],"objective":[254],"with":[256],"high":[257],"accuracy.":[258]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
