{"id":"https://openalex.org/W2066155494","doi":"https://doi.org/10.1109/icip.2013.6738594","title":"Efficient and accurate independent component filter-based features for texure similarity","display_name":"Efficient and accurate independent component filter-based features for texure similarity","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2066155494","doi":"https://doi.org/10.1109/icip.2013.6738594","mag":"2066155494"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","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/A5062072064","display_name":"Nabeel Mohammed","orcid":"https://orcid.org/0000-0002-7661-3570"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nabeel Mohammed","raw_affiliation_strings":["Clayton School of Information Technology, Monash University Wellington Road, Victoria 3800, Australia","[Clayton School of Information Technology, Monash University, Melbourne, VIC, Australia]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clayton School of Information Technology, Monash University Wellington Road, Victoria 3800, Australia","institution_ids":["https://openalex.org/I56590836"]},{"raw_affiliation_string":"[Clayton School of Information Technology, Monash University, Melbourne, VIC, Australia]","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032303916","display_name":"David Squire","orcid":"https://orcid.org/0000-0001-6738-8271"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"David McG. Squire","raw_affiliation_strings":["Clayton School of Information Technology, Monash University Wellington Road, Victoria 3800, Australia","[Clayton School of Information Technology, Monash University, Melbourne, VIC, Australia]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clayton School of Information Technology, Monash University Wellington Road, Victoria 3800, Australia","institution_ids":["https://openalex.org/I56590836"]},{"raw_affiliation_string":"[Clayton School of Information Technology, Monash University, Melbourne, VIC, Australia]","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I56590836"],"apc_list":null,"apc_paid":null,"fwci":1.8785,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.87755991,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2887","last_page":"2891"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.977400004863739,"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":0.7215269207954407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7043401002883911},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6967008113861084},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.6831775903701782},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.6663394570350647},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6033778190612793},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5950902700424194},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.580110490322113},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5448513031005859},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5244812369346619},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5131226181983948},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.512385904788971},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46087557077407837},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.4383653402328491},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43692657351493835},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.43419113755226135},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.43220192193984985},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.32511216402053833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7215269207954407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7043401002883911},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6967008113861084},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.6831775903701782},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.6663394570350647},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6033778190612793},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5950902700424194},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.580110490322113},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5448513031005859},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5244812369346619},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5131226181983948},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.512385904788971},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46087557077407837},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.4383653402328491},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43692657351493835},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.43419113755226135},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.43220192193984985},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.32511216402053833},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2013.6738594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738594","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W119990253","https://openalex.org/W1504388412","https://openalex.org/W1600428950","https://openalex.org/W1999908130","https://openalex.org/W2019502123","https://openalex.org/W2071128523","https://openalex.org/W2075843426","https://openalex.org/W2085008807","https://openalex.org/W2090334843","https://openalex.org/W2129142957","https://openalex.org/W2137234026","https://openalex.org/W2141164427","https://openalex.org/W2142260675","https://openalex.org/W2164149616","https://openalex.org/W2185411374","https://openalex.org/W2902424647","https://openalex.org/W4205778870","https://openalex.org/W4238805501","https://openalex.org/W6635618033","https://openalex.org/W6680717454","https://openalex.org/W6686518194","https://openalex.org/W6757019266"],"related_works":["https://openalex.org/W2356578509","https://openalex.org/W2106653363","https://openalex.org/W2350842752","https://openalex.org/W2960611766","https://openalex.org/W1557887402","https://openalex.org/W2416959398","https://openalex.org/W2746816529","https://openalex.org/W2900811989","https://openalex.org/W2031096531","https://openalex.org/W3201443322"],"abstract_inverted_index":{"This":[0],"paper":[1],"evaluates":[2],"the":[3,36,39,95],"accuracy":[4],"and":[5,71,148],"efficiency":[6],"of":[7,97,113,133],"collection-specific":[8],"texture":[9,46,103],"features":[10,47,99,108,121,135,143],"for":[11,63],"Content-Based":[12],"Image":[13],"Retrieval.":[14],"Independent":[15,22],"Component":[16,23],"Analysis":[17],"is":[18,41,136],"used":[19,81,137],"to":[20,82,93],"extract":[21,83],"Filters":[24],"(ICF)":[25],"from":[26,35,67,76],"an":[27,68],"image":[28,37,69,84,104],"set.":[29],"As":[30],"these":[31,98],"ICF":[32,66,134,142],"are":[33,49,79,144],"learned":[34],"set,":[38,70],"hypothesis":[40],"that":[42,48,119],"they":[43],"should":[44],"provide":[45],"more":[50,146,149],"effective":[51],"than":[52,124,138],"those":[53],"extracted":[54,109],"using":[55,110],"generic":[56],"filter":[57],"banks.":[58],"We":[59],"describe":[60],"a":[61,73,129],"method":[62],"extracting":[64],"candidate":[65],"choosing":[72],"representative":[74],"subset":[75],"them.":[77],"These":[78],"then":[80],"features.":[85,140],"A":[86],"simple":[87],"CBIR":[88],"system":[89],"has":[90],"been":[91],"developed":[92],"evaluate":[94],"performance":[96],"on":[100],"two":[101],"standard":[102],"collections,":[105],"compared":[106],"with":[107],"multiple":[111],"banks":[112],"Gabor":[114,139],"filters.":[115],"The":[116,141],"results":[117],"indicate":[118],"ICF-based":[120],"perform":[122],"better":[123],"Gabor-based":[125],"features,":[126],"even":[127],"when":[128],"much":[130],"smaller":[131],"number":[132],"thus":[145],"accurate,":[147],"efficient.":[150]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
