{"id":"https://openalex.org/W2133071302","doi":"https://doi.org/10.1109/icassp.1984.1172634","title":"Classification of textures using Markov random field models","display_name":"Classification of textures using Markov random field models","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W2133071302","doi":"https://doi.org/10.1109/icassp.1984.1172634","mag":"2133071302"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1984.1172634","doi":"https://doi.org/10.1109/icassp.1984.1172634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1984.1172634","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"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":"ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5102762707","display_name":"Rama Chellappa","orcid":"https://orcid.org/0000-0002-7638-1650","observed_orcids":["https://orcid.org/0000-0002-7638-1650"]},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Chellappa","raw_affiliation_strings":["Department of EE-Systems and Image Processing Institute, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EE-Systems and Image Processing Institute, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056055964","display_name":"Sandip Chatterjee","orcid":"https://orcid.org/0009-0000-1130-5529","observed_orcids":["https://orcid.org/0009-0000-1130-5529"]},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Chatterjee","raw_affiliation_strings":["Department of EE-Systems and Image Processing Institute, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EE-Systems and Image Processing Institute, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.2599,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.5213262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9","issue":null,"first_page":"694","last_page":"697"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9868000149726868,"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":0.9868000149726868,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.004399999976158142,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.00279999990016222,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/texture-classification","display_name":"texture classification","score":0.9990000128746033},{"id":"https://openalex.org/keywords/markov-random-fields","display_name":"Markov random fields","score":0.8489999771118164},{"id":"https://openalex.org/keywords/gaussian-markov-random-fields","display_name":"Gaussian Markov random fields","score":0.968999981880188},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.9860000014305115},{"id":"https://openalex.org/keywords/sufficient-statistics","display_name":"sufficient statistics","score":0.8489999771118164},{"id":"https://openalex.org/keywords/sample-correlation","display_name":"sample correlation","score":0.8299999833106995},{"id":"https://openalex.org/keywords/minimum-distance-classifier","display_name":"minimum distance classifier","score":0.7419999837875366}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7766458988189697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6356558799743652},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.597561776638031},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5914709568023682},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.5781776905059814},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5537449717521667},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5491122603416443},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5135500431060791},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.49990057945251465},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4618714153766632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4566132724285126},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4490358829498291},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33016151189804077},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21465682983398438},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.19861841201782227},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1984.1172634","doi":"https://doi.org/10.1109/icassp.1984.1172634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1984.1172634","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"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":"ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1978238148","https://openalex.org/W2055715894","https://openalex.org/W2155898547","https://openalex.org/W2007904038","https://openalex.org/W2114207969","https://openalex.org/W2740603090","https://openalex.org/W2144232001","https://openalex.org/W1991274888","https://openalex.org/W2085668866","https://openalex.org/W3036336131"],"abstract_inverted_index":{"Two":[0],"feature":[1,81],"extraction":[2],"methods":[3],"for":[4,72,92],"classification":[5,84],"of":[6,38,52,86],"textures":[7],"are":[8,41,69],"presented.":[9],"It":[10],"is":[11,20,56],"assumed":[12],"that":[13,58],"the":[14,31,34,46,50,59,67],"given":[15],"M":[16,18],"\u00d7":[17],"texture":[19],"generated":[21],"by":[22],"a":[23,63,93],"Gaussian":[24],"Markov":[25],"random":[26],"field":[27],"(GMRF)":[28],"model,":[29],"in":[30],"first":[32],"method,":[33,48],"least":[35],"square":[36],"estimates":[37],"model":[39],"parameters":[40],"used":[42],"as":[43],"features.":[44],"In":[45],"second":[47],"using":[49,78],"notion":[51],"sufficient":[53],"statistics,":[54],"it":[55],"shown":[57],"sample":[60],"correlations":[61],"over":[62,87],"symmetric":[64],"window":[65],"including":[66],"origin":[68],"optimal":[70],"features":[71],"classification.":[73],"Simple":[74],"minimum":[75],"distance":[76],"classifiers":[77],"these":[79],"two":[80],"sets":[82],"yield":[83],"accuracies":[85],"99%":[88],"and":[89],"92%":[90],"respectively":[91],"seven":[94],"class":[95],"problem.":[96]},"counts_by_year":[{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2016-06-24T00:00:00"}
