{"id":"https://openalex.org/W2127110456","doi":"https://doi.org/10.1109/icassp.2002.5745452","title":"Rotation invariant roughness features for texture classification","display_name":"Rotation invariant roughness features for texture classification","publication_year":2002,"publication_date":"2002-05-01","ids":{"openalex":"https://openalex.org/W2127110456","doi":"https://doi.org/10.1109/icassp.2002.5745452","mag":"2127110456"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2002.5745452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5745452","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Acoustics Speech and Signal Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/scopus2000/2965","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002878354","display_name":"Dimitrios Charalampidis","orcid":"https://orcid.org/0000-0002-4311-5428"},"institutions":[{"id":"https://openalex.org/I192396691","display_name":"University of New Orleans","ror":"https://ror.org/034mtvk83","country_code":"US","type":"education","lineage":["https://openalex.org/I192396691","https://openalex.org/I2799628689"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitrios Charalampidis","raw_affiliation_strings":["EE Department, University of New Orleans, New Orleans, LA, USA","EE Department, University of New Orleans, LA 70148, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EE Department, University of New Orleans, New Orleans, LA, USA","institution_ids":["https://openalex.org/I192396691"]},{"raw_affiliation_string":"EE Department, University of New Orleans, LA 70148, USA","institution_ids":["https://openalex.org/I192396691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005132335","display_name":"Takis Kasparis","orcid":"https://orcid.org/0000-0003-3486-538X"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Takis Kasparis","raw_affiliation_strings":["School of EECS, University of Central Florida, Orlando, FL, USA","School of EECS, University of Central Florida, Orlando, 32816, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EECS, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"School of EECS, University of Central Florida, Orlando, 32816, USA","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4712,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57393484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"IV","last_page":"3672"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9958999752998352,"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":0.9958999752998352,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.972000002861023,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9678999781608582,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6698912382125854},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6633613109588623},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.627371072769165},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5648630261421204},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.5533801317214966},{"id":"https://openalex.org/keywords/surface-finish","display_name":"Surface finish","score":0.5154832005500793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5074674487113953},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49577030539512634},{"id":"https://openalex.org/keywords/scale-invariance","display_name":"Scale invariance","score":0.4927866756916046},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.47368624806404114},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45938780903816223},{"id":"https://openalex.org/keywords/fractal-dimension","display_name":"Fractal dimension","score":0.45808684825897217},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4574654698371887},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.45326918363571167},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.4378350079059601},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4156419634819031},{"id":"https://openalex.org/keywords/fractal-compression","display_name":"Fractal compression","score":0.41026565432548523},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40997380018234253},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2332274615764618},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.175360769033432},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.14636322855949402},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09612032771110535},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.0798291265964508},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.062207698822021484}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6698912382125854},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6633613109588623},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.627371072769165},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5648630261421204},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.5533801317214966},{"id":"https://openalex.org/C71039073","wikidata":"https://www.wikidata.org/wiki/Q3439090","display_name":"Surface finish","level":2,"score":0.5154832005500793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5074674487113953},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49577030539512634},{"id":"https://openalex.org/C135593079","wikidata":"https://www.wikidata.org/wiki/Q1750766","display_name":"Scale invariance","level":2,"score":0.4927866756916046},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.47368624806404114},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45938780903816223},{"id":"https://openalex.org/C26546657","wikidata":"https://www.wikidata.org/wiki/Q1412452","display_name":"Fractal dimension","level":3,"score":0.45808684825897217},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4574654698371887},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.45326918363571167},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.4378350079059601},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4156419634819031},{"id":"https://openalex.org/C109116516","wikidata":"https://www.wikidata.org/wiki/Q2872","display_name":"Fractal compression","level":5,"score":0.41026565432548523},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40997380018234253},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2332274615764618},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.175360769033432},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.14636322855949402},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09612032771110535},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0798291265964508},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.062207698822021484},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icassp.2002.5745452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5745452","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Acoustics Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:stars.library.ucf.edu:scopus2000-3964","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2000/2965","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2000s","raw_type":"text"},{"id":"pmh:oai:ktisis.cut.ac.cy:10488/7106","is_oa":false,"landing_page_url":"http://ktisis.cut.ac.cy/handle/10488/7106","pdf_url":null,"source":{"id":"https://openalex.org/S4306400897","display_name":"Ktisis at Cyprus University of Technology (Cyprus University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I163151358","host_organization_name":"Cyprus University of Technology","host_organization_lineage":["https://openalex.org/I163151358"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conferenceObject"},{"id":"pmh:oai:ktisis.cut.ac.cy:20.500.14279/2377","is_oa":false,"landing_page_url":"https://hdl.handle.net/20.500.14279/2377","pdf_url":null,"source":{"id":"https://openalex.org/S4306400897","display_name":"Ktisis at Cyprus University of Technology (Cyprus University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I163151358","host_organization_name":"Cyprus University of Technology","host_organization_lineage":["https://openalex.org/I163151358"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conferenceObject"}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:scopus2000-3964","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2000/2965","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2000s","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2033236599","https://openalex.org/W2049694710","https://openalex.org/W2057449716","https://openalex.org/W2065301447","https://openalex.org/W2081680161","https://openalex.org/W2100860054","https://openalex.org/W2108054818","https://openalex.org/W2124925264","https://openalex.org/W2125148312","https://openalex.org/W2134275275","https://openalex.org/W2147385006","https://openalex.org/W2152328854","https://openalex.org/W2158270878","https://openalex.org/W6675411287"],"related_works":["https://openalex.org/W2166724105","https://openalex.org/W1983661653","https://openalex.org/W2093957690","https://openalex.org/W2003873690","https://openalex.org/W2165772202","https://openalex.org/W2132527882","https://openalex.org/W2092085723","https://openalex.org/W2115502907","https://openalex.org/W2035842265","https://openalex.org/W2359713774"],"abstract_inverted_index":{"In":[0,35],"this":[1,36,120],"paper,":[2],"we":[3],"introduce":[4],"a":[5,38,44,65],"rotational":[6,97],"invariant":[7,98],"feature":[8,94,107,116],"set":[9,108],"for":[10,64,74],"texture":[11,102],"classification,":[12],"based":[13],"on":[14],"an":[15],"extension":[16],"of":[17,77,81,127],"fractal":[18],"dimension":[19],"(FD)":[20],"features.":[21],"The":[22,92,105],"FD":[23],"extracts":[24],"roughness":[25,78,106],"information":[26,86],"from":[27],"images":[28],"considering":[29],"all":[30],"available":[31],"scales":[32],"at":[33,43,87],"once.":[34],"work,":[37,121],"single":[39],"scale":[40,56,62],"is":[41,96],"considered":[42],"time":[45],"so":[46],"that":[47],"textures":[48],"with":[49,60],"scale-dependent":[50],"properties":[51,126],"are":[52,58,72],"satisfactorily":[53],"characterized.":[54],"Single":[55],"features":[57,63],"combined":[59],"multiple":[61],"more":[66],"complete":[67],"textural":[68],"representation.":[69],"Directional":[70],"wavelets":[71],"employed":[73],"the":[75,101,124],"computation":[76],"features,":[79],"because":[80],"their":[82],"ability":[83],"to":[84,131],"extract":[85],"different":[88],"resolutions":[89],"and":[90,99,134],"directions.":[91],"final":[93],"vector":[95],"retains":[100],"directional":[103],"information.":[104],"results":[109],"in":[110,119],"higher":[111],"classification":[112],"rate":[113],"than":[114],"other":[115],"vectors":[117],"presented":[118],"while":[122],"preserving":[123],"important":[125],"FD,":[128],"namely":[129],"insensitivity":[130],"absolute":[132],"illumination":[133],"contrast.":[135]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}