{"id":"https://openalex.org/W2009032431","doi":"https://doi.org/10.1117/12.2064233","title":"Discriminative dictionary based representation and classification of image texture","display_name":"Discriminative dictionary based representation and classification of image texture","publication_year":2014,"publication_date":"2014-04-16","ids":{"openalex":"https://openalex.org/W2009032431","doi":"https://doi.org/10.1117/12.2064233","mag":"2009032431"},"language":"en","primary_location":{"id":"doi:10.1117/12.2064233","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2064233","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5102018225","display_name":"Bo Sun","orcid":"https://orcid.org/0000-0003-1168-1051"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Sun","raw_affiliation_strings":["Beijing Normal University, China"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101590984","display_name":"Xuewen Wu","orcid":"https://orcid.org/0000-0002-2242-7190"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuewen Wu","raw_affiliation_strings":["Beijing Normal University, China"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100766736","display_name":"Jun He","orcid":"https://orcid.org/0000-0002-3017-2108"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun He","raw_affiliation_strings":["Beijing Normal University, China"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102018225"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.4877,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68071551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9159","issue":null,"first_page":"91590S","last_page":"91590S"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9976999759674072,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9958000183105469,"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/discriminative-model","display_name":"Discriminative model","score":0.8580182790756226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7722882032394409},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7251973152160645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7181218266487122},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6922802925109863},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6893982887268066},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6181008219718933},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49188876152038574},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.44686949253082275},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.44373059272766113},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4291249215602875},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4225428104400635},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4049019515514374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3608688414096832},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.293765664100647}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8580182790756226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7722882032394409},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7251973152160645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7181218266487122},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6922802925109863},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6893982887268066},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6181008219718933},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49188876152038574},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.44686949253082275},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.44373059272766113},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4291249215602875},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4225428104400635},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4049019515514374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3608688414096832},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.293765664100647},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2064233","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2064233","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1551219034","https://openalex.org/W1979435916","https://openalex.org/W2031586513","https://openalex.org/W2044465660","https://openalex.org/W2078204800","https://openalex.org/W2097506433","https://openalex.org/W2099641086","https://openalex.org/W2099816072","https://openalex.org/W2105454037","https://openalex.org/W2114122776","https://openalex.org/W2115429828","https://openalex.org/W2116148865","https://openalex.org/W2121058967","https://openalex.org/W2129812935","https://openalex.org/W2155729543","https://openalex.org/W2160547390","https://openalex.org/W2164647001","https://openalex.org/W6644916078","https://openalex.org/W7062157157"],"related_works":["https://openalex.org/W1828907538","https://openalex.org/W2509955295","https://openalex.org/W4295805486","https://openalex.org/W2761785940","https://openalex.org/W2783701116","https://openalex.org/W2153315159","https://openalex.org/W2295786646","https://openalex.org/W1987225540","https://openalex.org/W2129933262","https://openalex.org/W2363993830"],"abstract_inverted_index":{"Texture":[0],"classification":[1,30,78],"is":[2],"a":[3,65],"fundamental":[4],"and":[5,12,19,33,51,53,70,84],"yet":[6],"difficult":[7],"task":[8],"in":[9,38],"machine":[10],"vision":[11],"image":[13,81],"processing.":[14],"In":[15,60],"recent":[16],"years,":[17],"more":[18,20],"researchers'":[21],"attention":[22],"has":[23],"been":[24],"drawn":[25],"to":[26,43,49,73],"the":[27,57,74,95,104],"sparse":[28,75],"representation-based":[29],"(SRC)":[31],"method":[32],"its":[34,44],"corresponding":[35],"dictionaries":[36],"designing":[37],"pattern":[39],"recognition":[40,46],"community,":[41],"due":[42],"high":[45],"rate,":[47],"robustness":[48],"corruption":[50],"occlusion,":[52],"little":[54],"dependence":[55],"on":[56,90],"features,":[58],"etc.":[59],"this":[61],"paper,":[62],"we":[63],"present":[64],"discriminative":[66],"dictionary":[67],"learning":[68],"approach,":[69],"apply":[71],"it":[72],"representation":[76,83],"based":[77],"framework":[79],"for":[80],"texture":[82],"classification.":[85],"The":[86],"experimental":[87],"results":[88],"conducted":[89],"different":[91],"testing":[92],"data":[93],"demonstrate":[94],"promise":[96],"of":[97],"our":[98],"new":[99],"approach":[100],"when":[101],"compared":[102],"with":[103],"previous":[105],"algorithms.":[106]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
