{"id":"https://openalex.org/W2391670034","doi":null,"title":"Texture Classification Based on Gabor Wavelet and Support Vector Machines","display_name":"Texture Classification Based on Gabor Wavelet and Support Vector Machines","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2391670034","mag":"2391670034"},"language":"en","primary_location":{"id":"mag:2391670034","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-DSSS200609004.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764946761","display_name":"Video Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4323253411","host_organization_name":"McGraw-Hill","host_organization_lineage":["https://openalex.org/P4323253411"],"host_organization_lineage_names":["McGraw-Hill"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Video Engineering","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5011854667","display_name":"Qiusheng Lian","orcid":"https://orcid.org/0000-0002-0712-8459","observed_orcids":["https://orcid.org/0000-0002-0712-8459","https://orcid.org/0000-0003-3322-7036"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Qiusheng Lian","raw_affiliation_strings":["Dept"],"raw_orcid":"https://orcid.org/0000-0002-0712-8459","affiliations":[{"raw_affiliation_string":"Dept","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5011854667"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44938826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9965999722480774,"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":0.9965999722480774,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.001500000013038516,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/texture-classification","display_name":"texture classification","score":0.9980000257492065},{"id":"https://openalex.org/keywords/gabor-wavelets","display_name":"Gabor wavelets","score":0.9290000200271606},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9810000061988831}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.8451459407806396},{"id":"https://openalex.org/C136902061","wikidata":"https://www.wikidata.org/wiki/Q16981559","display_name":"Gabor wavelet","level":5,"score":0.8438141345977783},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8037912845611572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7895368337631226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7140967845916748},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6846994161605835},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5689680576324463},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5292816758155823},{"id":"https://openalex.org/C173149727","wikidata":"https://www.wikidata.org/wiki/Q996397","display_name":"Gabor transform","level":4,"score":0.4731284976005554},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4526765048503876},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40515702962875366},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3778928518295288},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3225783109664917},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.21715685725212097},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.16469451785087585},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2391670034","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-DSSS200609004.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764946761","display_name":"Video Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4323253411","host_organization_name":"McGraw-Hill","host_organization_lineage":["https://openalex.org/P4323253411"],"host_organization_lineage_names":["McGraw-Hill"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Video Engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2023720719","https://openalex.org/W7097242981","https://openalex.org/W2002479809","https://openalex.org/W2347469707","https://openalex.org/W2366673626","https://openalex.org/W2157203077","https://openalex.org/W7074569427","https://openalex.org/W1595683926","https://openalex.org/W2041525275","https://openalex.org/W2164669160"],"abstract_inverted_index":{"A":[0],"texture":[1,39,45],"classification":[2,18,64],"method":[3],"based":[4],"on":[5],"Gabor":[6,36,58],"wavelet":[7],"and":[8,28,59],"support":[9],"vector":[10,22],"machines(SVM)":[11],"is":[12,23],"proposed":[13],"while":[14],"introducing":[15],"some":[16],"prevailing":[17],"methods.":[19],"The":[20,50],"feature":[21],"composed":[24],"of":[25,31,57],"the":[26,32,44,55,63],"mean":[27],"standard":[29],"deviations":[30],"subbands":[33],"acquired":[34],"by":[35],"decomposition":[37],"to":[38],"image,":[40],"then":[41],"we":[42],"classify":[43],"image":[46],"using":[47],"SVM":[48,60],"algorithm.":[49],"experimental":[51],"results":[52],"show":[53],"that":[54],"combination":[56],"can":[61],"improve":[62],"rate":[65],"effectively.":[66]},"counts_by_year":[],"updated_date":"2026-09-24T07:57:37.273135","created_date":"2016-06-24T00:00:00"}
