{"id":"https://openalex.org/W1496904380","doi":"https://doi.org/10.1109/robot.1988.12262","title":"Rotation and scale invariant texture classification","display_name":"Rotation and scale invariant texture classification","publication_year":2003,"publication_date":"2003-01-06","ids":{"openalex":"https://openalex.org/W1496904380","doi":"https://doi.org/10.1109/robot.1988.12262","mag":"1496904380"},"language":"en","primary_location":{"id":"doi:10.1109/robot.1988.12262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.1988.12262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 1988 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-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":"https://openalex.org/A5009714891","display_name":"Fernand S. Cohen","orcid":"https://orcid.org/0000-0002-7547-0387"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"F.S. Cohen","raw_affiliation_strings":["Electrical & Computer Engineering Department, Drexel University, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical & Computer Engineering Department, Drexel University, PA, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111426767","display_name":"Z. Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I17626003","display_name":"University of Rhode Island","ror":"https://ror.org/013ckk937","country_code":"US","type":"education","lineage":["https://openalex.org/I17626003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Z. Fan","raw_affiliation_strings":["Department of Electrical Engineering, University of Rhode Island, Kingston, RI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Rhode Island, Kingston, RI, USA","institution_ids":["https://openalex.org/I17626003"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3476,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.80866413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1394","last_page":"1399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9918000102043152,"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":0.9918000102043152,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.987500011920929,"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":0.9873999953269958,"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":0.6644688844680786},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.6319459676742554},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5792514085769653},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5688048601150513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5626850724220276},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.48880407214164734},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48870208859443665},{"id":"https://openalex.org/keywords/scale-invariance","display_name":"Scale invariance","score":0.48150357604026794},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.4424200654029846},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4298285245895386},{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.42231059074401855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35916441679000854},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.3493001163005829},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29536429047584534},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24240469932556152}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6644688844680786},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6319459676742554},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5792514085769653},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5688048601150513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5626850724220276},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.48880407214164734},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48870208859443665},{"id":"https://openalex.org/C135593079","wikidata":"https://www.wikidata.org/wiki/Q1750766","display_name":"Scale invariance","level":2,"score":0.48150357604026794},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.4424200654029846},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4298285245895386},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.42231059074401855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35916441679000854},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.3493001163005829},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29536429047584534},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24240469932556152},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robot.1988.12262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.1988.12262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 1988 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W84900737","https://openalex.org/W1965696824","https://openalex.org/W1967847028","https://openalex.org/W1973359967","https://openalex.org/W1994607143","https://openalex.org/W2003304826","https://openalex.org/W2033992886","https://openalex.org/W2037942041","https://openalex.org/W2044465660","https://openalex.org/W2065301447","https://openalex.org/W2076684571","https://openalex.org/W2114220616","https://openalex.org/W2120587770","https://openalex.org/W2125027853","https://openalex.org/W2146173142","https://openalex.org/W2169327696","https://openalex.org/W2987654510","https://openalex.org/W6603452886"],"related_works":["https://openalex.org/W2013921918","https://openalex.org/W2019724159","https://openalex.org/W4255563003","https://openalex.org/W4280508323","https://openalex.org/W2371672232","https://openalex.org/W1591411095","https://openalex.org/W2088686292","https://openalex.org/W2103185490","https://openalex.org/W2164174361","https://openalex.org/W2499549728"],"abstract_inverted_index":{"The":[0,27,89,103],"problem":[1,127],"of":[2,20,66,106,128],"classifying":[3],"a":[4,51,82],"textured":[5],"image":[6],"which":[7],"might":[8],"be":[9],"subject":[10],"to":[11,49,94],"unknown":[12],"rotation":[13,62],"and":[14,61,85],"magnification":[15],"scale":[16,60],"changes":[17],"into":[18],"one":[19],"C":[21,68],"possible":[22],"texture":[23,28,69,79,87,91,117],"classes":[24,29,70],"is":[25,47,71,92,109],"discussed.":[26],"are":[30],"modeled":[31],"by":[32],"Gaussian":[33],"Markov":[34],"random":[35],"fields.":[36],"A":[37,55],"Bayes":[38],"decision":[39],"rule":[40],"based":[41],"on":[42,115],"the":[43,59,67,74,77,95,98,107,119,126],"generalized":[44,100],"likelihood":[45,101],"function":[46],"used":[48],"classify":[50],"given":[52],"test":[53,90],"sample.":[54],"maximum-likelihood":[56],"estimate":[57],"for":[58,64,125],"parameters":[63],"each":[65],"computed":[72],"under":[73],"assumption":[75],"that":[76],"observed":[78],"came":[80],"from":[81,118],"particular":[83],"unrotated":[84],"unscaled":[86],"model.":[88],"allocated":[93],"class":[96],"with":[97],"highest":[99],"function.":[102],"classification":[104],"power":[105],"method":[108],"demonstrated":[110],"through":[111],"extensive":[112],"experimental":[113],"results":[114],"natural":[116],"Brodatz":[120],"album":[121],"as":[122,124],"well":[123],"fabric":[129],"inspection.<":[130],"<ETX":[131],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[132],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">&gt;</ETX>":[133]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
