{"id":"https://openalex.org/W1870143963","doi":"https://doi.org/10.1109/icassp.1982.1171606","title":"Color texture reconstruction using a bidimensional Markov model","display_name":"Color texture reconstruction using a bidimensional Markov model","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1870143963","doi":"https://doi.org/10.1109/icassp.1982.1171606","mag":"1870143963"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1982.1171606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1982.1171606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5005787084","display_name":"F. Schmitt","orcid":"https://orcid.org/0000-0002-6519-6513"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"F. Schmitt","raw_affiliation_strings":["\u00c9cole Nationale Sup\u00e9rieure des T\u00e9l\u00e9communications, Paris, France","\u00c9cole nationale sup\u00e9rieure des t\u00e9l\u00e9communications, Paris, France"],"affiliations":[{"raw_affiliation_string":"\u00c9cole Nationale Sup\u00e9rieure des T\u00e9l\u00e9communications, Paris, France","institution_ids":["https://openalex.org/I12356871"]},{"raw_affiliation_string":"\u00c9cole nationale sup\u00e9rieure des t\u00e9l\u00e9communications, Paris, France","institution_ids":["https://openalex.org/I12356871"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5005787084"],"corresponding_institution_ids":["https://openalex.org/I12356871"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08749407,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"444","last_page":"447"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9937000274658203,"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":0.9937000274658203,"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/T11666","display_name":"Color Science and Applications","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.980400025844574,"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/color-quantization","display_name":"Color quantization","score":0.7733556032180786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6806850433349609},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.6103806495666504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6047810316085815},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5802677273750305},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.513852596282959},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.49589380621910095},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.4760724902153015},{"id":"https://openalex.org/keywords/color-model","display_name":"Color model","score":0.4362645745277405},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43496912717819214},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.41851356625556946},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.35882094502449036},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3297453224658966},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.16333866119384766},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15811362862586975},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08859103918075562}],"concepts":[{"id":"https://openalex.org/C173752661","wikidata":"https://www.wikidata.org/wiki/Q1396414","display_name":"Color quantization","level":5,"score":0.7733556032180786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6806850433349609},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.6103806495666504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6047810316085815},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5802677273750305},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.513852596282959},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.49589380621910095},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.4760724902153015},{"id":"https://openalex.org/C36262787","wikidata":"https://www.wikidata.org/wiki/Q2294018","display_name":"Color model","level":4,"score":0.4362645745277405},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43496912717819214},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.41851356625556946},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.35882094502449036},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3297453224658966},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.16333866119384766},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15811362862586975},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08859103918075562}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1982.1171606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1982.1171606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1646259797","https://openalex.org/W2010903642","https://openalex.org/W2052101786","https://openalex.org/W2059432853","https://openalex.org/W2078966379","https://openalex.org/W2082216877","https://openalex.org/W2125027853","https://openalex.org/W4252521233","https://openalex.org/W4255444560","https://openalex.org/W7071361427"],"related_works":["https://openalex.org/W1964628873","https://openalex.org/W2039898450","https://openalex.org/W181903982","https://openalex.org/W1981206111","https://openalex.org/W2167320272","https://openalex.org/W2064532007","https://openalex.org/W2117507819","https://openalex.org/W2355820532","https://openalex.org/W2009056760","https://openalex.org/W2388236772"],"abstract_inverted_index":{"A":[0],"model":[1,19],"for":[2,22],"the":[3,23,35,52,57,64],"reconstruction":[4],"of":[5,15,25,37,51],"real":[6,58],"color":[7,53,65,83],"textures":[8],"is":[9,12,32,44],"presented.":[10],"It":[11],"an":[13],"extension":[14],"a":[16,48,68,74],"bidimensionnal":[17],"Markov":[18],"previously":[20],"proposed":[21],"synthesis":[24],"gray":[26],"level":[27],"textures.":[28],"The":[29],"main":[30],"problem":[31],"to":[33,39],"limit":[34],"number":[36],"colors":[38],"avoid":[40],"computationnal":[41],"complexity.":[42],"This":[43],"solved":[45],"by":[46,62,79],"operating":[47],"suboptimal":[49],"quantization":[50],"information":[54],"included":[55],"in":[56],"texture:":[59],"i)":[60],"firstly":[61],"transforming":[63],"components":[66],"into":[67],"perceptive":[69],"uniform":[70],"space,":[71],"based":[72],"on":[73],"vision":[75],"model;":[76],"ii)":[77],"then":[78],"optimally":[80],"clustering":[81],"this":[82],"space.":[84]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}