{"id":"https://openalex.org/W1976301753","doi":"https://doi.org/10.1145/1741906.1742163","title":"Extract texture features and correlation based on liner regression model using wavelet transform","display_name":"Extract texture features and correlation based on liner regression model using wavelet transform","publication_year":2010,"publication_date":"2010-02-26","ids":{"openalex":"https://openalex.org/W1976301753","doi":"https://doi.org/10.1145/1741906.1742163","mag":"1976301753"},"language":"en","primary_location":{"id":"doi:10.1145/1741906.1742163","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1741906.1742163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference and Workshop on Emerging Trends in Technology","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/A5018070606","display_name":"R. S. Khedikar","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"R. S. Khedikar","raw_affiliation_strings":[""],"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044432444","display_name":"Atish Khobragade","orcid":"https://orcid.org/0000-0003-4274-369X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. S. Khobragade","raw_affiliation_strings":[""],"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018070606"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.06520968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1003","last_page":"1004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9437999725341797,"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":0.9437999725341797,"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":0.9172000288963318,"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/wavelet-transform","display_name":"Wavelet transform","score":0.7274028062820435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7013340592384338},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6809003353118896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6690164804458618},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.6359990239143372},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5533766150474548},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5211513042449951},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5168017148971558},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.5158454775810242},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5027561187744141},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5001916885375977},{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.4685346186161041},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.4438216984272003},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4334317445755005},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4222589433193207},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3328084945678711},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24626418948173523},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23145118355751038},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22888806462287903}],"concepts":[{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.7274028062820435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7013340592384338},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6809003353118896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6690164804458618},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.6359990239143372},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5533766150474548},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5211513042449951},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5168017148971558},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.5158454775810242},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5027561187744141},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5001916885375977},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.4685346186161041},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.4438216984272003},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4334317445755005},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4222589433193207},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3328084945678711},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24626418948173523},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23145118355751038},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22888806462287903},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1741906.1742163","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1741906.1742163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference and Workshop on Emerging Trends in Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2165772202","https://openalex.org/W2166724105","https://openalex.org/W2154859065","https://openalex.org/W1983661653","https://openalex.org/W2093957690","https://openalex.org/W2743128629","https://openalex.org/W2003873690","https://openalex.org/W2115502907","https://openalex.org/W2359713774","https://openalex.org/W2035842265"],"abstract_inverted_index":{"One":[0],"difficulty":[1],"of":[2,11,18,51,101],"texture":[3,36,53,64,122,137],"analysis":[4,28,37,65],"in":[5],"the":[6,9,43,48,52,70,76,84,93,98,141,149,154,161,167,176],"past":[7],"was":[8,115],"lack":[10],"adequate":[12],"tools":[13],"to":[14,35,97,123,131],"characterize":[15,140],"different":[16,56,104,179],"scales":[17],"textures":[19],"effectively.":[20],"The":[21,125],"wavelet":[22,77,110,163,170],"transform":[23,171],"as":[24],"an":[25],"important":[26],"multiresolution":[27],"tool":[29],"has":[30],"already":[31],"been":[32],"commonly":[33],"applied":[34],"and":[38,66,135,166],"classification.":[39],"Nevertheless,":[40],"it":[41,114],"ignores":[42],"structural":[44],"information":[45,50],"while":[46],"capturing":[47],"spectral":[49],"image":[54],"at":[55,103],"scales.":[57],"In":[58,159],"this":[59,118,133],"paper,":[60],"we":[61],"propose":[62],"a":[63,89],"classification":[67],"approach":[68],"with":[69],"linear":[71,126],"regression":[72,127],"model":[73,128],"based":[74],"on":[75],"transform.":[78,112],"This":[79],"method":[80,145],"is":[81,129],"motivated":[82],"by":[83,108],"observation":[85],"that":[86,117,139],"there":[87],"exists":[88],"distinctive":[90],"correlation":[91,119,134,155,177],"between":[92,156,178],"samples":[94],"images,":[95],"belonging":[96],"same":[99],"kind":[100],"texture,":[102],"frequency":[105,150,180],"regions":[106,151],"obtained":[107],"2-D":[109],"packet":[111],"Experimentally,":[113],"observed":[116],"varies":[120],"from":[121],"texture.":[124],"employed":[130],"analyze":[132],"extract":[136],"features":[138],"samples.":[142],"Therefore,":[143],"our":[144],"considers":[146],"not":[147,174],"only":[148],"but":[152],"also":[153],"these":[157],"regions.":[158,181],"contrast,":[160],"pyramid-structured":[162],"transforms":[164],"(PSWT)":[165],"tree":[168],"structured":[169],"(TSWT)":[172],"do":[173],"consider":[175]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
