{"id":"https://openalex.org/W2908526535","doi":"https://doi.org/10.1109/access.2019.2891914","title":"CDF Space Covariance Matrix of Gabor Wavelet With Convolutional Neural Network for Texture Recognition","display_name":"CDF Space Covariance Matrix of Gabor Wavelet With Convolutional Neural Network for Texture Recognition","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2908526535","doi":"https://doi.org/10.1109/access.2019.2891914","mag":"2908526535"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2891914","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2891914","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08606046.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":null,"license_id":null,"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/ielx7/6287639/8600701/08606046.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007621167","display_name":"Chaorong Li","orcid":"https://orcid.org/0000-0001-8336-2661"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaorong Li","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-8336-2661","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054690199","display_name":"Xiaoyun Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131342","display_name":"Yibin University","ror":"https://ror.org/03w8m2977","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131342"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyun Guan","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Yibin University, Yibin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Yibin University, Yibin, China","institution_ids":["https://openalex.org/I4210131342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015256062","display_name":"Peihui Yang","orcid":"https://orcid.org/0000-0001-9019-6913"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peihui Yang","raw_affiliation_strings":["Department of Computer Science and Technology, Sichuan Vocational College of Post and Telecom, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Sichuan Vocational College of Post and Telecom, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079355098","display_name":"Yuanyuan Huang","orcid":"https://orcid.org/0000-0003-4202-8071"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Huang","raw_affiliation_strings":["Department of Cyberspace Engineering, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cyberspace Engineering, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101842083","display_name":"Wei Huang","orcid":"https://orcid.org/0000-0001-7854-4006"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Huang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100786255","display_name":"Huafu Chen","orcid":"https://orcid.org/0000-0002-4062-4753"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huafu Chen","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":0.5955,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70652209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"30693","last_page":"30701"},"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":0.9941999912261963,"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":0.9872000217437744,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7716270685195923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.702677309513092},{"id":"https://openalex.org/keywords/gabor-wavelet","display_name":"Gabor wavelet","score":0.6202362179756165},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.559388279914856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5393921732902527},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5082477927207947},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5004479885101318},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4990577697753906},{"id":"https://openalex.org/keywords/gabor-transform","display_name":"Gabor transform","score":0.4938252866268158},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.46182069182395935},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43882325291633606},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.42475032806396484},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40517082810401917},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.3809809386730194},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3025679588317871},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22737804055213928},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.21090340614318848},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16001474857330322},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06910648941993713},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.060515403747558594}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7716270685195923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.702677309513092},{"id":"https://openalex.org/C136902061","wikidata":"https://www.wikidata.org/wiki/Q16981559","display_name":"Gabor wavelet","level":5,"score":0.6202362179756165},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.559388279914856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5393921732902527},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5082477927207947},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5004479885101318},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4990577697753906},{"id":"https://openalex.org/C173149727","wikidata":"https://www.wikidata.org/wiki/Q996397","display_name":"Gabor transform","level":4,"score":0.4938252866268158},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.46182069182395935},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43882325291633606},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.42475032806396484},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40517082810401917},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.3809809386730194},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3025679588317871},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22737804055213928},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21090340614318848},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16001474857330322},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06910648941993713},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.060515403747558594},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2891914","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2891914","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08606046.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4b93e2c9c0344abf9b346cd8b3291b60","is_oa":true,"landing_page_url":"https://doaj.org/article/4b93e2c9c0344abf9b346cd8b3291b60","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 7, Pp 30693-30701 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2891914","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2891914","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08606046.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3614154616","display_name":null,"funder_award_id":"2016M602675","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5378529150","display_name":null,"funder_award_id":"2016M602675","funder_id":"https://openalex.org/F4320322970","funder_display_name":"Education Department of Sichuan Province"},{"id":"https://openalex.org/G6930415907","display_name":null,"funder_award_id":"16ZA0328","funder_id":"https://openalex.org/F4320322970","funder_display_name":"Education Department of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322970","display_name":"Education Department of Sichuan Province","ror":"https://ror.org/05s1c4z27"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2908526535.pdf","grobid_xml":"https://content.openalex.org/works/W2908526535.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W566612420","https://openalex.org/W639708223","https://openalex.org/W1485235332","https://openalex.org/W1549083695","https://openalex.org/W1616262590","https://openalex.org/W1909952827","https://openalex.org/W1986869398","https://openalex.org/W2005876975","https://openalex.org/W2012222827","https://openalex.org/W2033276808","https://openalex.org/W2041101048","https://openalex.org/W2048335335","https://openalex.org/W2049893410","https://openalex.org/W2053544201","https://openalex.org/W2053996691","https://openalex.org/W2059471177","https://openalex.org/W2069820356","https://openalex.org/W2072072671","https://openalex.org/W2076063813","https://openalex.org/W2082114499","https://openalex.org/W2082855665","https://openalex.org/W2098765040","https://openalex.org/W2109533003","https://openalex.org/W2125837007","https://openalex.org/W2128989367","https://openalex.org/W2131081720","https://openalex.org/W2131725398","https://openalex.org/W2133848164","https://openalex.org/W2135715315","https://openalex.org/W2136218851","https://openalex.org/W2139261503","https://openalex.org/W2144093206","https://openalex.org/W2145947562","https://openalex.org/W2147457207","https://openalex.org/W2153786187","https://openalex.org/W2154209944","https://openalex.org/W2160547390","https://openalex.org/W2163352848","https://openalex.org/W2163534628","https://openalex.org/W2293457052","https://openalex.org/W2314785379","https://openalex.org/W2343076010","https://openalex.org/W2486038092","https://openalex.org/W2518260411","https://openalex.org/W2523792932","https://openalex.org/W2527569769","https://openalex.org/W2546677373","https://openalex.org/W2600626704","https://openalex.org/W2613718673","https://openalex.org/W2745398842","https://openalex.org/W2748412105","https://openalex.org/W2755766678","https://openalex.org/W2765610253","https://openalex.org/W2886300955","https://openalex.org/W2894957992","https://openalex.org/W2951326654","https://openalex.org/W2962772276","https://openalex.org/W2963239066","https://openalex.org/W3102431071","https://openalex.org/W4294554995","https://openalex.org/W6615889216","https://openalex.org/W6620707391","https://openalex.org/W6680889708","https://openalex.org/W6727654133"],"related_works":["https://openalex.org/W2359662965","https://openalex.org/W2130331495","https://openalex.org/W1905998934","https://openalex.org/W2347950327","https://openalex.org/W2357890245","https://openalex.org/W2789879563","https://openalex.org/W1489900277","https://openalex.org/W2085606847","https://openalex.org/W4253763357","https://openalex.org/W2357147711"],"abstract_inverted_index":{"A":[0],"novel":[1,111],"method":[2,17,112,155],"for":[3,35,132,158],"texture":[4,21,114,149,159],"image":[5,36],"recognition":[6,105,115,140,167],"is":[7,18,86,156],"proposed":[8,16,109,154],"in":[9,58,61,103],"this":[10],"paper.":[11],"The":[12,69,142],"aim":[13],"of":[14,48,113,126,164],"the":[15,24,40,62,89,99,104,123,134,139,153,165],"to":[19,66,94,121],"represent":[20,67],"by":[22,77],"combining":[23],"Gabor":[25,49,63],"wavelet":[26,50,64],"transform":[27],"and":[28,137,147,161],"deep":[29],"learning":[30],"which":[31,52,92,118],"are":[32],"efficient":[33,157],"techniques":[34],"analysis.":[37],"We":[38],"developed":[39],"cumulative":[41],"distribution":[42],"function":[43],"(cdf)":[44],"space":[45,131],"covariance":[46,82,90,125],"model":[47,55],"(CSCM-GW),":[51],"can":[53],"jointly":[54],"multivariate":[56],"data":[57],"cdf":[59],"space,":[60,96],"domain":[65],"texture.":[68],"images":[70],"having":[71],"different":[72],"sizes":[73],"will":[74],"be":[75],"transformed":[76],"CSCM-GW":[78,85,127],"into":[79,128],"same":[80],"size":[81],"matrices.":[83],"Because":[84],"based":[87],"on":[88,144],"matrix":[91],"belongs":[93],"Riemannian":[95],"it":[97],"has":[98],"high":[100],"computational":[101,135],"cost":[102,136],"phase.":[106],"Therefore,":[107],"we":[108],"a":[110],"called":[116],"CSCM-GWF-CNN":[117],"uses":[119],"CNN":[120],"project":[122],"fused":[124],"low-dimensional":[129],"vector":[130],"reducing":[133],"improving":[138],"performance.":[141],"experiments":[143],"Brodatz":[145],"(111)":[146],"KTH-TIPS2-b":[148],"databases":[150],"show":[151],"that":[152],"representation":[160],"outperforms":[162],"most":[163],"state-of-the-art":[166],"methods.":[168]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
