{"id":"https://openalex.org/W1499097902","doi":"https://doi.org/10.1109/icip.2003.1246864","title":"Texture analysis: an adaptive probabilistic approach","display_name":"Texture analysis: an adaptive probabilistic approach","publication_year":2004,"publication_date":"2004-06-03","ids":{"openalex":"https://openalex.org/W1499097902","doi":"https://doi.org/10.1109/icip.2003.1246864","mag":"1499097902"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2003.1246864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1246864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://durham-repository.worktribe.com/output/1678652","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015377106","display_name":"Karen Brady","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"K. Brady","raw_affiliation_strings":["Ariana, joint research group CNRS INRIA UNSA, INRIA, Sophia-Antipolis, France","CNRS, Sophia Antipolois, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ariana, joint research group CNRS INRIA UNSA, INRIA, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"CNRS, Sophia Antipolois, France","institution_ids":["https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060165491","display_name":"Ian H. Jermyn","orcid":"https://orcid.org/0000-0002-6546-6173"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"I. Jermyn","raw_affiliation_strings":["Ariana, joint research group CNRS INRIA UNSA, INRIA, Sophia-Antipolis, France","CNRS, Sophia Antipolois, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ariana, joint research group CNRS INRIA UNSA, INRIA, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"CNRS, Sophia Antipolois, France","institution_ids":["https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018158883","display_name":"Josiane Zerubia","orcid":"https://orcid.org/0000-0002-7444-0856"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Zerubia","raw_affiliation_strings":["Ariana, joint research group CNRS INRIA UNSA, INRIA, Sophia-Antipolis, France","CNRS, Sophia Antipolois, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ariana, joint research group CNRS INRIA UNSA, INRIA, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"CNRS, Sophia Antipolois, France","institution_ids":["https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4269,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79270483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"II","last_page":"1045"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9909999966621399,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9909999966621399,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9749000072479248,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.7349427938461304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6934508085250854},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6593037843704224},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6054412126541138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5783048868179321},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5381361842155457},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.5310326814651489},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4954434633255005},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4879586100578308},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4857175946235657},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4742659330368042},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4292842745780945},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4221493601799011},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4198175072669983},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37418729066848755},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2070770561695099},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10815748572349548},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07922592759132385},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07295387983322144}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7349427938461304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6934508085250854},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6593037843704224},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6054412126541138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5783048868179321},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5381361842155457},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.5310326814651489},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4954434633255005},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4879586100578308},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4857175946235657},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4742659330368042},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4292842745780945},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4221493601799011},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4198175072669983},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37418729066848755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2070770561695099},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10815748572349548},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07922592759132385},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07295387983322144},{"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":3,"locations":[{"id":"doi:10.1109/icip.2003.1246864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1246864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.dur.ac.uk.OAI2:18726","is_oa":false,"landing_page_url":"http://dro.dur.ac.uk/18726/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"(2003). 2003 International Conference on Image Processing, ICIP 2003 ; proceedings. Piscataway, NJ: IEEE, pp. 1045-1048","raw_type":"Book chapter"},{"id":"pmh:oai:durham-repository.worktribe.com:1678652","is_oa":true,"landing_page_url":"https://durham-repository.worktribe.com/output/1678652","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"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":null,"raw_type":"Presentation / Conference Contribution"}],"best_oa_location":{"id":"pmh:oai:durham-repository.worktribe.com:1678652","is_oa":true,"landing_page_url":"https://durham-repository.worktribe.com/output/1678652","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"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":null,"raw_type":"Presentation / Conference Contribution"},"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1950126171","https://openalex.org/W2031586513","https://openalex.org/W2098347925","https://openalex.org/W2107693148","https://openalex.org/W2111727749","https://openalex.org/W2115755118","https://openalex.org/W2134326534","https://openalex.org/W2149134319","https://openalex.org/W2156447271","https://openalex.org/W2168977926","https://openalex.org/W2911956715","https://openalex.org/W6677399427","https://openalex.org/W6758657058","https://openalex.org/W7062157157"],"related_works":["https://openalex.org/W2054017055","https://openalex.org/W2085792030","https://openalex.org/W1588899229","https://openalex.org/W4321517526","https://openalex.org/W1976022598","https://openalex.org/W2111896212","https://openalex.org/W1967182499","https://openalex.org/W2097034666","https://openalex.org/W2543327743","https://openalex.org/W4229919695"],"abstract_inverted_index":{"Two":[0],"main":[1],"issues":[2],"arise":[3],"when":[4],"working":[5],"in":[6,95],"the":[7,12,16,25,31,51,70,76,91,96,102,110,118],"area":[8],"of":[9,33,53,73,79,101,122],"texture":[10,17,132],"segmentation:":[11],"need":[13,26],"to":[14,27,84,108],"describe":[15,117],"accurately":[18],"by":[19,64],"capturing":[20],"its":[21],"underlying":[22],"structure,":[23],"and":[24,75,120,125],"perform":[28],"analyses":[29],"on":[30,50,60,129],"boundaries":[32],"textures.":[34],"Herein,":[35],"we":[36,56],"tackle":[37],"these":[38],"problems":[39],"within":[40],"a":[41,47,58,67],"consistent":[42],"probabilistic":[43],"framework.":[44],"Starting":[45],"from":[46],"probability":[48],"distribution":[49,59,112],"space":[52],"infinite":[54],"images,":[55],"generate":[57],"arbitrary":[61],"finite":[62],"regions":[63],"marginalization.":[65],"For":[66],"Gaussian":[68,111],"distribution,":[69],"computational":[71],"requirement":[72,78],"diagonalization":[74],"modelling":[77],"adaptivity":[80],"together":[81],"lead":[82],"naturally":[83],"adaptive":[85],"wavelet":[86,103],"packet":[87,104],"models":[88],"that":[89],"capture":[90],"'significant":[92],"amplitude":[93],"features'":[94],"Fourier":[97],"domain.":[98],"Undecimated":[99],"versions":[100],"transform":[105],"are":[106],"used":[107],"diagonalize":[109],"efficiently,":[113],"albeit":[114],"approximately.":[115],"We":[116],"implementation":[119],"application":[121],"this":[123],"approach":[124],"present":[126],"results":[127],"obtained":[128],"several":[130],"Brodatz":[131],"mosaics.":[133]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
