{"id":"https://openalex.org/W2515800123","doi":"https://doi.org/10.1109/icip.2016.7533020","title":"Completed local derivative pattern for rotation invariant texture classification","display_name":"Completed local derivative pattern for rotation invariant texture classification","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2515800123","doi":"https://doi.org/10.1109/icip.2016.7533020","mag":"2515800123"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7533020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1812.04183","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yuting Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I4210090800","display_name":"Sensors (United States)","ror":"https://ror.org/00b4mz884","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuting Hu","raw_affiliation_strings":["Multimedia & Sensors Lab (MSL), Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia & Sensors Lab (MSL), Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444","https://openalex.org/I4210090800"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhiling Long","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I4210090800","display_name":"Sensors (United States)","ror":"https://ror.org/00b4mz884","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiling Long","raw_affiliation_strings":["Multimedia & Sensors Lab (MSL), Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia & Sensors Lab (MSL), Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444","https://openalex.org/I4210090800"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ghassan AlRegib","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I4210090800","display_name":"Sensors (United States)","ror":"https://ror.org/00b4mz884","country_code":"US","type":"company","lineage":["https://openalex.org/I4210090800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ghassan AlRegib","raw_affiliation_strings":["Multimedia & Sensors Lab (MSL), Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia & Sensors Lab (MSL), Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444","https://openalex.org/I4210090800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6035,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.80365413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3548","last_page":"3552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9991999864578247,"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/T11439","display_name":"Video Analysis and Summarization","score":0.968999981880188,"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/local-binary-patterns","display_name":"Local binary patterns","score":0.7950999736785889},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6948000192642212},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.6478999853134155},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.6169000267982483},{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.5855000019073486},{"id":"https://openalex.org/keywords/derivative","display_name":"Derivative (finance)","score":0.5461999773979187},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4796999990940094},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4674000144004822}],"concepts":[{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.7950999736785889},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6948000192642212},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6478999853134155},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.6169000267982483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5990999937057495},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.5855000019073486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5709999799728394},{"id":"https://openalex.org/C111771559","wikidata":"https://www.wikidata.org/wiki/Q66295","display_name":"Derivative (finance)","level":2,"score":0.5461999773979187},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4796999990940094},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4674000144004822},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.45190000534057617},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.41920000314712524},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4189000129699707},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.4180999994277954},{"id":"https://openalex.org/C2986090443","wikidata":"https://www.wikidata.org/wiki/Q77870413","display_name":"Local structure","level":2,"score":0.39239999651908875},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.37700000405311584},{"id":"https://openalex.org/C33257320","wikidata":"https://www.wikidata.org/wiki/Q1932744","display_name":"Second derivative","level":2,"score":0.37619999051094055},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36419999599456787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34299999475479126},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.32249999046325684},{"id":"https://openalex.org/C2777588356","wikidata":"https://www.wikidata.org/wiki/Q1868414","display_name":"Local property","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2678999900817871},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C2011187","wikidata":"https://www.wikidata.org/wiki/Q383851","display_name":"Directional derivative","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.2567000091075897}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2016.7533020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1812.04183","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1812.04183","pdf_url":"https://arxiv.org/pdf/1812.04183","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1812.04183","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1812.04183","pdf_url":"https://arxiv.org/pdf/1812.04183","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2030010317","https://openalex.org/W2039051707","https://openalex.org/W2046320894","https://openalex.org/W2053544201","https://openalex.org/W2058021621","https://openalex.org/W2058160332","https://openalex.org/W2078818280","https://openalex.org/W2097777575","https://openalex.org/W2100061387","https://openalex.org/W2103496373","https://openalex.org/W2117228865","https://openalex.org/W2118213141","https://openalex.org/W2147141800","https://openalex.org/W2159988601","https://openalex.org/W2163352848","https://openalex.org/W2293488289","https://openalex.org/W2294526658"],"related_works":[],"abstract_inverted_index":{"In":[0,14],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,43,84],"new":[6,52],"texture":[7,90,93,101],"descriptor,":[8],"completed":[9,17],"local":[10,18,25,37,47,68],"derivative":[11,61],"pattern":[12,20],"(CLDP).":[13],"contrast":[15],"to":[16,46],"binary":[19],"(CLBP),":[21],"which":[22],"involves":[23],"only":[24],"differences":[26,38],"at":[27],"each":[28],"scale,":[29],"CLDP":[30],"encodes":[31],"the":[32,36,59,64,77],"directional":[33,60,65],"variation":[34],"of":[35,39,67],"two":[40],"scales":[41],"as":[42,58,83],"complementary":[44],"component":[45,53],"patterns":[48],"in":[49,54],"CLBP.":[50],"The":[51],"CLDP,":[55,82],"with":[56,99],"regarded":[57],"pattern,":[62,86],"reflects":[63],"smoothness":[66],"textures":[69],"without":[70],"increasing":[71],"computation":[72],"complexity.":[73],"Experimental":[74],"results":[75],"on":[76,92],"Outex":[78],"database":[79],"show":[80],"that":[81],"uni-scale":[85,88],"outperforms":[87],"state-of-the-art":[89],"descriptors":[91],"classification":[94],"and":[95],"has":[96],"comparable":[97],"performance":[98],"multi-scale":[100],"descriptors.":[102]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2016-09-16T00:00:00"}
