{"id":"https://openalex.org/W2159693110","doi":"https://doi.org/10.1109/lsp.2013.2259622","title":"Texture Classification Using Rotation- and Scale-Invariant Gabor Texture Features","display_name":"Texture Classification Using Rotation- and Scale-Invariant Gabor Texture Features","publication_year":2013,"publication_date":"2013-04-23","ids":{"openalex":"https://openalex.org/W2159693110","doi":"https://doi.org/10.1109/lsp.2013.2259622","mag":"2159693110"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2013.2259622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2013.2259622","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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 Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Texture_classification_using_rotation-and_scale-invariant_gabor_texture_features/24399883","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005093152","display_name":"Farhan Riaz","orcid":"https://orcid.org/0000-0002-8669-7165"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"F. Riaz","raw_affiliation_strings":["National University of Science and Technology, Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"National University of Science and Technology, Islamabad, Pakistan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047007749","display_name":"Ali Hassan","orcid":"https://orcid.org/0000-0002-1505-5157"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Hassan","raw_affiliation_strings":["National University of Science and Technology, Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"National University of Science and Technology, Islamabad, Pakistan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005611793","display_name":"Saad Rehman","orcid":"https://orcid.org/0000-0002-0487-0703"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Rehman","raw_affiliation_strings":["National University of Science and Technology, Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"National University of Science and Technology, Islamabad, Pakistan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050012170","display_name":"Usman Qamar","orcid":"https://orcid.org/0000-0003-2361-2061"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"U. Qamar","raw_affiliation_strings":["National University of Science and Technology, Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"National University of Science and Technology, Islamabad, Pakistan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005093152"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.5074,"has_fulltext":false,"cited_by_count":97,"citation_normalized_percentile":{"value":0.98549798,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"20","issue":"6","first_page":"607","last_page":"610"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9958000183105469,"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":0.982699990272522,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7258895039558411},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6826214790344238},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6550806760787964},{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.6151733994483948},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.6024168133735657},{"id":"https://openalex.org/keywords/scale-invariance","display_name":"Scale invariance","score":0.5802034139633179},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.561767578125},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.5596402883529663},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5521232485771179},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5490217804908752},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.4824719727039337},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.47655776143074036},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.471682608127594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4656689167022705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44320785999298096},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.41371655464172363},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3807976245880127},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22910207509994507},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15019500255584717},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.14251264929771423},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10542750358581543},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06392115354537964}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7258895039558411},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6826214790344238},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6550806760787964},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.6151733994483948},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.6024168133735657},{"id":"https://openalex.org/C135593079","wikidata":"https://www.wikidata.org/wiki/Q1750766","display_name":"Scale invariance","level":2,"score":0.5802034139633179},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.561767578125},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.5596402883529663},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5521232485771179},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5490217804908752},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.4824719727039337},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.47655776143074036},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.471682608127594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4656689167022705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44320785999298096},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.41371655464172363},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3807976245880127},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22910207509994507},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15019500255584717},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.14251264929771423},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10542750358581543},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06392115354537964},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/lsp.2013.2259622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2013.2259622","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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 Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:eprints.lincoln.ac.uk:52398","is_oa":false,"landing_page_url":"https://eprints.lincoln.ac.uk/id/eprint/52398/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196275","display_name":"Lincoln Repository (University of Lincoln)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51532219","host_organization_name":"University of Lincoln","host_organization_lineage":["https://openalex.org/I51532219"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:figshare.com:article/24399883","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Texture_classification_using_rotation-and_scale-invariant_gabor_texture_features/24399883","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/24399883","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Texture_classification_using_rotation-and_scale-invariant_gabor_texture_features/24399883","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1574818812","https://openalex.org/W2006500012","https://openalex.org/W2031586513","https://openalex.org/W2040412528","https://openalex.org/W2041090685","https://openalex.org/W2043233966","https://openalex.org/W2044465660","https://openalex.org/W2074109107","https://openalex.org/W2125148312","https://openalex.org/W2126833203","https://openalex.org/W2127807804","https://openalex.org/W2133990480","https://openalex.org/W2156909104","https://openalex.org/W2162018804","https://openalex.org/W2164278383","https://openalex.org/W2478884216","https://openalex.org/W6634504512"],"related_works":["https://openalex.org/W2165772202","https://openalex.org/W2166724105","https://openalex.org/W2154859065","https://openalex.org/W1983661653","https://openalex.org/W2093957690","https://openalex.org/W2743128629","https://openalex.org/W2003873690","https://openalex.org/W2115502907","https://openalex.org/W2359713774","https://openalex.org/W1923723480"],"abstract_inverted_index":{"This":[0],"letter":[1],"introduces":[2],"a":[3,58],"novel":[4],"approach":[5,15],"to":[6,25,31,43,71,86,118],"rotation":[7,67,88],"and":[8,34,62,66,89],"scale":[9,33,90],"invariant":[10,91],"texture":[11,48,105],"classification.":[12],"The":[13,76,94],"proposed":[14,98,114],"is":[16,84,101],"based":[17],"on":[18,103],"Gabor":[19],"filters":[20],"that":[21],"have":[22],"the":[23,27,32,37,46,53,97,110,113],"capability":[24],"collapse":[26],"filter":[28],"responses":[29],"according":[30],"orientation":[35],"of":[36,49,55,68,80,96,112],"textures.":[38],"These":[39],"characteristics":[40],"are":[41],"exploited":[42],"first":[44],"calculate":[45],"homogeneous":[47],"images":[50,69],"followed":[51],"by":[52],"rearrangement":[54],"features":[56],"as":[57,116],"two-dimensional":[59],"matrix":[60],"(scale":[61],"orientation),":[63],"where":[64],"scaling":[65],"correspond":[70],"shifting":[72],"in":[73,122],"this":[74,123],"matrix.":[75],"shift":[77],"invariance":[78],"property":[79],"discrete":[81],"fourier":[82],"transform":[83],"used":[85],"propose":[87],"image":[92],"features.":[93],"performance":[95],"feature":[99],"set":[100],"evaluated":[102],"Brodatz":[104],"album.":[106],"Experimental":[107],"results":[108],"demonstrate":[109],"superiority":[111],"descriptor":[115],"compared":[117],"other":[119],"methods":[120],"considered":[121],"letter.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
