{"id":"https://openalex.org/W2921132217","doi":"https://doi.org/10.1142/s0219691319500279","title":"Texture classification using the rotational-invariant local symmetric tetra pattern","display_name":"Texture classification using the rotational-invariant local symmetric tetra pattern","publication_year":2019,"publication_date":"2019-03-12","ids":{"openalex":"https://openalex.org/W2921132217","doi":"https://doi.org/10.1142/s0219691319500279","mag":"2921132217"},"language":"en","primary_location":{"id":"doi:10.1142/s0219691319500279","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691319500279","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-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":null,"display_name":"A. Suruliandi","orcid":null},"institutions":[{"id":"https://openalex.org/I182997119","display_name":"Manonmaniam Sundaranar University","ror":"https://ror.org/02qgw5c67","country_code":"IN","type":"education","lineage":["https://openalex.org/I182997119"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"A. Suruliandi","raw_affiliation_strings":["Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India","institution_ids":["https://openalex.org/I182997119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045524574","display_name":"A. Sinduja","orcid":null},"institutions":[{"id":"https://openalex.org/I182997119","display_name":"Manonmaniam Sundaranar University","ror":"https://ror.org/02qgw5c67","country_code":"IN","type":"education","lineage":["https://openalex.org/I182997119"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. Sinduja","raw_affiliation_strings":["Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India","institution_ids":["https://openalex.org/I182997119"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068883308","display_name":"S. P. Raja","orcid":null},"institutions":[{"id":"https://openalex.org/I1330855593","display_name":"Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology","ror":"https://ror.org/05bc5bx80","country_code":"IN","type":"education","lineage":["https://openalex.org/I1330855593"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. P. Raja","raw_affiliation_strings":["Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&amp;D, Institute of Science and Technology, Avadi, Chennai, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&amp;D, Institute of Science and Technology, Avadi, Chennai, Tamilnadu, India","institution_ids":["https://openalex.org/I1330855593"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I182997119"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01459509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"04","first_page":"1950027","last_page":"1950027"},"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":0.9905999898910522,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9746999740600586,"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/invariant","display_name":"Invariant (physics)","score":0.7081664800643921},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7041287422180176},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7029081583023071},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6894671320915222},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.6880755424499512},{"id":"https://openalex.org/keywords/rotational-invariance","display_name":"Rotational invariance","score":0.6642866134643555},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5552423596382141},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.5409485101699829},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5098256468772888},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5050652623176575},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.5044132471084595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49627596139907837},{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.4741719961166382},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4046921730041504},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38185665011405945},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3426465094089508},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22947433590888977},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16246241331100464}],"concepts":[{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.7081664800643921},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7041287422180176},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7029081583023071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6894671320915222},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6880755424499512},{"id":"https://openalex.org/C33098168","wikidata":"https://www.wikidata.org/wiki/Q108537107","display_name":"Rotational invariance","level":2,"score":0.6642866134643555},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5552423596382141},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.5409485101699829},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5098256468772888},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5050652623176575},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5044132471084595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49627596139907837},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.4741719961166382},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4046921730041504},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38185665011405945},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3426465094089508},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22947433590888977},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16246241331100464},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"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":"doi:10.1142/s0219691319500279","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691319500279","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W267619918","https://openalex.org/W1123170578","https://openalex.org/W1428511354","https://openalex.org/W1494115316","https://openalex.org/W1607985379","https://openalex.org/W1789197365","https://openalex.org/W1981468861","https://openalex.org/W1982269655","https://openalex.org/W1994315897","https://openalex.org/W1996015351","https://openalex.org/W2023800921","https://openalex.org/W2035970689","https://openalex.org/W2039051707","https://openalex.org/W2068976153","https://openalex.org/W2139388392","https://openalex.org/W2140962554","https://openalex.org/W2151578749","https://openalex.org/W2290701356","https://openalex.org/W2331152856","https://openalex.org/W2402479123","https://openalex.org/W2598912124","https://openalex.org/W2891656133"],"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/W1980033651","https://openalex.org/W4230530180","https://openalex.org/W2388733570","https://openalex.org/W2153116791"],"abstract_inverted_index":{"Feature":[0],"extraction":[1],"plays":[2],"a":[3],"key":[4],"role":[5],"in":[6,38,132],"pattern":[7],"recognition":[8],"problems.":[9],"The":[10,116],"texture":[11,28,72,145],"feature":[12,16],"is":[13,36,43,103,139,147],"an":[14,21,50],"important":[15],"which":[17,124],"helps":[18],"to":[19,69],"describe":[20,70],"image":[22],"with":[23,121],"textural":[24],"information.":[25],"A":[26],"new":[27],"descriptor,":[29],"the":[30,46,56,62,66,71,77,81,88,106,129,143],"Local":[31],"Symmetric":[32],"Tetra":[33],"Pattern":[34],"(LSTP),":[35],"proposed":[37,130,144],"this":[39],"work.":[40],"This":[41],"descriptor":[42,146],"developed":[44],"for":[45,94],"local":[47],"description":[48],"of":[49,83,90,97,128,134],"image.":[51],"It":[52,138],"considers":[53],"not":[54],"only":[55],"surrounding":[57],"eight":[58,63],"neighbors,":[59],"but":[60],"also":[61,140],"pixels":[64],"at":[65],"next":[67],"level":[68],"efficiently.":[73],"For":[74],"every":[75],"pixel,":[76],"maximum":[78],"edge":[79],"value,":[80],"number":[82,89],"negative":[84],"sign":[85,92],"bits":[86,93],"and":[87,110],"positive":[91],"each":[95],"degree":[96],"symmetry":[98],"are":[99,119],"computed.":[100],"Image":[101],"classification":[102],"experimented":[104],"using":[105],"Original":[107],"Brodatz,":[108],"Outex":[109],"Kylberg":[111],"Texture":[112],"Dataset":[113],"v.1.0":[114],"databases.":[115],"investigation":[117],"results":[118],"compared":[120],"existing":[122],"method":[123],"shows":[125],"promising":[126],"achievement":[127],"techniques":[131],"terms":[133],"their":[135],"evaluation":[136],"measures.":[137],"found":[141],"that":[142],"rotationally":[148],"invariant.":[149]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
