{"id":"https://openalex.org/W2289628030","doi":"https://doi.org/10.1109/bmei.2015.7401464","title":"Analysis of scale variations of local features for accurate classification of Emphysema images","display_name":"Analysis of scale variations of local features for accurate classification of Emphysema images","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2289628030","doi":"https://doi.org/10.1109/bmei.2015.7401464","mag":"2289628030"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2015.7401464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2015.7401464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","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/A5068946003","display_name":"Musibau A. Ibrahim","orcid":null},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Musibau A. Ibrahim","raw_affiliation_strings":["Dept. of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010870517","display_name":"Ramakrishnan Mukundan","orcid":"https://orcid.org/0000-0003-4578-1931"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Ramakrishnan Mukundan","raw_affiliation_strings":["Dept. of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068946003"],"corresponding_institution_ids":["https://openalex.org/I185492890"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.14907373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"6","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","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/T10824","display_name":"Image Retrieval and Classification Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9649999737739563,"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/T11309","display_name":"Music and Audio Processing","score":0.958899974822998,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/local-binary-patterns","display_name":"Local binary patterns","score":0.8162566423416138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7563190460205078},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6983916759490967},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.6317853331565857},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5925183296203613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5863403677940369},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5836504697799683},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5173230171203613},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.4748513996601105},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4659361243247986},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4217725396156311},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33222639560699463},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26936671137809753},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2600022852420807},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.1964777112007141}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.8162566423416138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7563190460205078},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6983916759490967},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.6317853331565857},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5925183296203613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5863403677940369},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5836504697799683},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5173230171203613},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.4748513996601105},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4659361243247986},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4217725396156311},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33222639560699463},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26936671137809753},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2600022852420807},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.1964777112007141},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2015.7401464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2015.7401464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1153891179","https://openalex.org/W1565746575","https://openalex.org/W1574818812","https://openalex.org/W1826701780","https://openalex.org/W1975959625","https://openalex.org/W1996643254","https://openalex.org/W1997954541","https://openalex.org/W2007657444","https://openalex.org/W2027823436","https://openalex.org/W2039935818","https://openalex.org/W2076000588","https://openalex.org/W2078818280","https://openalex.org/W2091003138","https://openalex.org/W2111815479","https://openalex.org/W2119046205","https://openalex.org/W2119172643","https://openalex.org/W2121452312","https://openalex.org/W2139916508","https://openalex.org/W2140494000","https://openalex.org/W2147141800","https://openalex.org/W2151419026","https://openalex.org/W2152548630","https://openalex.org/W2154528686","https://openalex.org/W2155662634","https://openalex.org/W2156097147","https://openalex.org/W2163352848","https://openalex.org/W2172238468","https://openalex.org/W2177274842","https://openalex.org/W2335978598","https://openalex.org/W2911964244","https://openalex.org/W6649841946","https://openalex.org/W6677837071","https://openalex.org/W6678531662","https://openalex.org/W6681645188"],"related_works":["https://openalex.org/W2373577936","https://openalex.org/W3095575180","https://openalex.org/W2055219403","https://openalex.org/W2389596151","https://openalex.org/W2104492225","https://openalex.org/W1990254706","https://openalex.org/W2404514746","https://openalex.org/W1843372508","https://openalex.org/W2761785940","https://openalex.org/W2129933262"],"abstract_inverted_index":{"The":[0,21,71,100,130,149],"effectiveness":[1],"of":[2,15,23,64,94,108,146,168,175],"local":[3,25,43,96],"or":[4],"global":[5,33,37,98],"features":[6,22,141,171],"has":[7],"recently":[8],"attracted":[9],"growing":[10],"attention":[11],"in":[12,115],"the":[13,24,65,77,95,112,119,126,135,139,144,147,154,158,163,169],"field":[14],"texture":[16],"image":[17,121],"classification":[18,87,113,128,174],"and":[19,76,97,161,166],"retrieval.":[20],"binary":[26],"pattern":[27],"(LBP)":[28],"for":[29,105,172],"instance,":[30],"usually":[31],"lack":[32],"spatial":[34],"information":[35,58],"while":[36],"descriptors":[38,50,136],"would":[39],"provide":[40,84],"very":[41],"little":[42],"information.":[44],"This":[45],"paper":[46],"proposes":[47],"two":[48],"different":[49,61,106],"to":[51,59,117],"circumvent":[52],"these":[53],"shortcomings":[54],"by":[55,89],"providing":[56],"more":[57,85],"describe":[60],"textural":[62],"structures":[63],"Emphysema":[66,109,176],"computed":[67],"tomography":[68],"(CT)":[69],"images.":[70,178],"proposed":[72],"LBP+Multi-fractal":[73,80],"Images":[74,81],"(LMI)":[75],"rotational":[78],"invariant":[79],"(RLMI)":[82],"can":[83],"accurate":[86,173],"results":[88,132,150],"using":[90],"a":[91],"hybrid":[92],"concatenation":[93],"features.":[99],"experimental":[101,131],"approaches":[102,160],"are":[103],"validated":[104],"scales":[107],"images":[110],"during":[111],"process":[114],"order":[116],"determine":[118],"appropriate":[120],"size":[122],"that":[123,134,153],"could":[124],"yield":[125],"maximum":[127],"accuracy.":[129],"show":[133],"extracted":[137],"from":[138],"combined":[140,170],"considerably":[142],"improve":[143],"performance":[145],"classifiers.":[148],"also":[151],"indicate":[152],"LMI":[155],"descriptor":[156],"outperforms":[157],"earlier":[159],"demonstrate":[162],"discriminating":[164],"power":[165],"robustness":[167],"CT":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}