{"id":"https://openalex.org/W2094117197","doi":"https://doi.org/10.2478/v10065-008-0010-8","title":"2DLDA-based texture recognition in the aspect of objective image quality assessment","display_name":"2DLDA-based texture recognition in the aspect of objective image quality assessment","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2094117197","doi":"https://doi.org/10.2478/v10065-008-0010-8","mag":"2094117197"},"language":"en","primary_location":{"id":"doi:10.2478/v10065-008-0010-8","is_oa":true,"landing_page_url":"https://doi.org/10.2478/v10065-008-0010-8","pdf_url":"https://journals.umcs.pl/ai/article/download/3208/2404","source":{"id":"https://openalex.org/S4210184648","display_name":"Annales Universitatis Mariae Curie-Sklodowska sectio AI \u2013 Informatica","issn_l":"1732-1360","issn":["1732-1360","2083-3628"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annales UMCS, Informatica","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://journals.umcs.pl/ai/article/download/3208/2404","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075075434","display_name":"Krzysztof Okarma","orcid":"https://orcid.org/0000-0002-6721-3241"},"institutions":[{"id":"https://openalex.org/I104588304","display_name":"University of Szczecin","ror":"https://ror.org/05vmz5070","country_code":"PL","type":"education","lineage":["https://openalex.org/I104588304"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Krzysztof Okarma","raw_affiliation_strings":["Chair of Signal Processing and Multimedia Engineering, Szczecin University of Technology, 26. Kwietnia 10, 71-126 Szczecin, Poland","Chair of Signal Processing and Multimedia Engineering, Szczecin University of Technology, 26. Kwietnia 10, 71-126 Szczecin, Poland#TAB#"],"affiliations":[{"raw_affiliation_string":"Chair of Signal Processing and Multimedia Engineering, Szczecin University of Technology, 26. Kwietnia 10, 71-126 Szczecin, Poland","institution_ids":["https://openalex.org/I104588304"]},{"raw_affiliation_string":"Chair of Signal Processing and Multimedia Engineering, Szczecin University of Technology, 26. Kwietnia 10, 71-126 Szczecin, Poland#TAB#","institution_ids":["https://openalex.org/I104588304"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064259943","display_name":"Pawe\u0142 Forczma\u0144ski","orcid":"https://orcid.org/0000-0002-3618-9146"},"institutions":[{"id":"https://openalex.org/I104588304","display_name":"University of Szczecin","ror":"https://ror.org/05vmz5070","country_code":"PL","type":"education","lineage":["https://openalex.org/I104588304"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Pawe\u0142 Forczma\u0144ski","raw_affiliation_strings":["Institute of Computer Graphics and Multimedia Systems, Szczecin University of Technology, Zo\u0142nierska 49, 71-210 Szczecin, Poland#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Graphics and Multimedia Systems, Szczecin University of Technology, Zo\u0142nierska 49, 71-210 Szczecin, Poland#TAB#","institution_ids":["https://openalex.org/I104588304"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075075434"],"corresponding_institution_ids":["https://openalex.org/I104588304"],"apc_list":null,"apc_paid":null,"fwci":1.0536,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79400309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9988999962806702,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9988999962806702,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.994700014591217,"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":0.7225590944290161},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.7037874460220337},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.6840218305587769},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6720683574676514},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5482634902000427},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5217874050140381},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5005042552947998},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.49367770552635193},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4837527275085449},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4807322025299072},{"id":"https://openalex.org/keywords/digital-image-processing","display_name":"Digital image processing","score":0.42814117670059204},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35657620429992676}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7225590944290161},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.7037874460220337},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.6840218305587769},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6720683574676514},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5482634902000427},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5217874050140381},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5005042552947998},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.49367770552635193},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4837527275085449},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4807322025299072},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.42814117670059204},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35657620429992676},{"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":3,"locations":[{"id":"doi:10.2478/v10065-008-0010-8","is_oa":true,"landing_page_url":"https://doi.org/10.2478/v10065-008-0010-8","pdf_url":"https://journals.umcs.pl/ai/article/download/3208/2404","source":{"id":"https://openalex.org/S4210184648","display_name":"Annales Universitatis Mariae Curie-Sklodowska sectio AI \u2013 Informatica","issn_l":"1732-1360","issn":["1732-1360","2083-3628"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annales UMCS, Informatica","raw_type":"journal-article"},{"id":"pmh:oai:ojs.umcsd.home.net.pl:article/3208","is_oa":true,"landing_page_url":"https://journals.umcs.pl/ai/article/view/3208","pdf_url":null,"source":{"id":"https://openalex.org/S4306402290","display_name":"Studia Iuridica Lublinensia (Uniwersytet Marii Curie-Sk\u0142odowskiej w Lublinie)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I174183983","host_organization_name":"Maria Curie-Sk\u0142odowska University","host_organization_lineage":["https://openalex.org/I174183983"],"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":"Annales Universitatis Mariae Curie-Sklodowska, sectio AI \u2013 Informatica; Vol 8, No 1 (2008); 99-110","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:ojs.umcsd.home.net.pl:article/3228","is_oa":true,"landing_page_url":"http://journals.umcs.pl/ai/article/view/3228","pdf_url":null,"source":{"id":"https://openalex.org/S4306402290","display_name":"Studia Iuridica Lublinensia (Uniwersytet Marii Curie-Sk\u0142odowskiej w Lublinie)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I174183983","host_organization_name":"Maria Curie-Sk\u0142odowska University","host_organization_lineage":["https://openalex.org/I174183983"],"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":"Annales Universitatis Mariae Curie-Sklodowska, sectio AI \u00e2\u0080\u0093 Informatica; Vol 8, No 2 (2008); 99-110","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.2478/v10065-008-0010-8","is_oa":true,"landing_page_url":"https://doi.org/10.2478/v10065-008-0010-8","pdf_url":"https://journals.umcs.pl/ai/article/download/3208/2404","source":{"id":"https://openalex.org/S4210184648","display_name":"Annales Universitatis Mariae Curie-Sklodowska sectio AI \u2013 Informatica","issn_l":"1732-1360","issn":["1732-1360","2083-3628"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annales UMCS, Informatica","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2094117197.pdf","grobid_xml":"https://content.openalex.org/works/W2094117197.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W60630353","https://openalex.org/W1535715103","https://openalex.org/W1770825568","https://openalex.org/W1910903444","https://openalex.org/W2012352340","https://openalex.org/W2020955395","https://openalex.org/W2031586513","https://openalex.org/W2034447975","https://openalex.org/W2074585828","https://openalex.org/W2096265622","https://openalex.org/W2097236525","https://openalex.org/W2107476778","https://openalex.org/W2127007691","https://openalex.org/W2133665775","https://openalex.org/W2135346934","https://openalex.org/W2150490197","https://openalex.org/W2153777140","https://openalex.org/W2159269332","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3210332869","https://openalex.org/W4327499886","https://openalex.org/W4210785996","https://openalex.org/W2181436147","https://openalex.org/W1680283075","https://openalex.org/W2056051076","https://openalex.org/W1978393153","https://openalex.org/W2096442341","https://openalex.org/W2015677580","https://openalex.org/W2793856282"],"abstract_inverted_index":{"The":[0,31,192,213,228],"image":[1,9,21,44,56,86,106,124,131,162,193,203,244,254],"quality":[2,22,41,57,76,87,159,245,255],"is":[3,35,48,218],"a":[4,181,208],"crucial":[5],"property":[6],"of":[7,20,42,53,77,84,104,122,160,169,176,183,201,216,226,243],"each":[8],"when":[10,36],"it":[11],"comes":[12],"to":[13,46,125,157],"successful":[14],"recognition.":[15],"There":[16],"are":[17,67,147,195,238],"many":[18],"methods":[19,83,108],"assessment":[23,58,88],"which":[24],"use":[25],"both":[26],"objective":[27,55],"and":[28,97,204,250,257],"subjective":[29],"measures.":[30],"most":[32,52],"desirable":[33],"situation":[34],"we":[37],"can":[38,134,163],"evaluate":[39],"the":[40,63,71,75,114,120,139,153,158,167,174,198,224,241,247,251,258],"an":[43],"prior":[45],"recognition.It":[47],"well":[49],"known":[50],"that":[51,116],"classical":[54],"methods,":[59],"mainly":[60],"based":[61,92],"on":[62,93,240,246],"Mean":[64],"Square":[65],"Error,":[66],"poorly":[68],"correlated":[69],"with":[70],"way":[72],"humans":[73],"perceive":[74],"digital":[78],"images.":[79],"Recently":[80],"some":[81],"new":[82,105],"full-reference":[85,117],"have":[89],"been":[90],"proposed":[91],"Singular":[94],"Value":[95],"Decomposition":[96],"Structural":[98],"Similarity,":[99],"especially":[100],"useful":[101],"for":[102,166],"development":[103],"processing":[107],"e.g.":[109],"filtration":[110],"or":[111,172],"lossy":[112,144],"compression.Despite":[113],"fact":[115],"metrics":[118,256],"require":[119],"knowledge":[121],"original":[123],"compute":[126],"them":[127],"their":[128],"application":[129],"in":[130],"recognition":[132,170,177,217,248,259],"systems":[133,142],"be":[135,164],"also":[136],"useful.":[137],"In":[138],"remote":[140],"controlled":[141],"where":[143],"compressed":[145],"images":[146],"transferred":[148],"using":[149,187,211,220],"low":[150],"bandwidth":[151],"networks,":[152],"additional":[154],"information":[155],"related":[156],"transmitted":[161],"helpful":[165],"estimation":[168],"accuracy":[171],"even":[173],"choice":[175],"method.The":[178],"paper":[179],"presents":[180],"problem":[182],"recognizing":[184],"visual":[185],"textures":[186],"two-dimensional":[188],"Linear":[189],"Discriminant":[190],"Analysis.":[191],"features":[194],"taken":[196],"from":[197,223],"FFT":[199],"spectrum":[200],"gray-scale":[202],"then":[205],"rendered":[206],"into":[207],"feature":[209],"matrix":[210],"LDA.":[212],"final":[214],"part":[215],"performed":[219],"distance":[221],"calculation":[222],"centers":[225],"classes.":[227],"experiments":[229],"employ":[230],"standard":[231],"benchmark":[232],"database":[233],"-":[234],"Brodatz":[235],"Textures.Performed":[236],"investigations":[237],"focused":[239],"influence":[242],"performance":[249],"correlation":[252],"between":[253],"accuracy.":[260]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}