{"id":"https://openalex.org/W1976373663","doi":"https://doi.org/10.1109/fskd.2010.5569839","title":"An approach to image retrieval using Distance-Angle Pixel Array","display_name":"An approach to image retrieval using Distance-Angle Pixel Array","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W1976373663","doi":"https://doi.org/10.1109/fskd.2010.5569839","mag":"1976373663"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2010.5569839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2010.5569839","pdf_url":null,"source":{"id":"https://openalex.org/S4363608217","display_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","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/A5047122784","display_name":"Zhuoxin Liu","orcid":"https://orcid.org/0000-0003-2643-3835"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhuoxin Liu","raw_affiliation_strings":["Department of applied mathematics, South China University of Technology, Guangzhou, China","[Department of Applied Mathematics, South China University of Technology, Guangzhou, China]"],"affiliations":[{"raw_affiliation_string":"Department of applied mathematics, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"[Department of Applied Mathematics, South China University of Technology, Guangzhou, China]","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110270000","display_name":"Jinshan Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinshan Jiang","raw_affiliation_strings":["Department of applied mathematics, South China University of Technology, Guangzhou, China","[Department of Applied Mathematics, South China University of Technology, Guangzhou, China]"],"affiliations":[{"raw_affiliation_string":"Department of applied mathematics, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"[Department of Applied Mathematics, South China University of Technology, Guangzhou, China]","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047122784"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14895947,"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":"2579","last_page":"2583"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9922999739646912,"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/pixel","display_name":"Pixel","score":0.7384945154190063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7077414989471436},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6527259945869446},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5797726511955261},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5744311213493347},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.56074458360672},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5177220702171326},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5106268525123596},{"id":"https://openalex.org/keywords/principal-axis-theorem","display_name":"Principal axis theorem","score":0.45236605405807495},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4330219328403473},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42374560236930847},{"id":"https://openalex.org/keywords/viewing-angle","display_name":"Viewing angle","score":0.42337632179260254},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32420971989631653},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.17219316959381104}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7384945154190063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7077414989471436},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6527259945869446},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5797726511955261},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5744311213493347},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.56074458360672},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5177220702171326},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5106268525123596},{"id":"https://openalex.org/C161326058","wikidata":"https://www.wikidata.org/wiki/Q7245073","display_name":"Principal axis theorem","level":2,"score":0.45236605405807495},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4330219328403473},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42374560236930847},{"id":"https://openalex.org/C2776694159","wikidata":"https://www.wikidata.org/wiki/Q351676","display_name":"Viewing angle","level":3,"score":0.42337632179260254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32420971989631653},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.17219316959381104},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C128019096","wikidata":"https://www.wikidata.org/wiki/Q83341","display_name":"Liquid-crystal display","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2010.5569839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2010.5569839","pdf_url":null,"source":{"id":"https://openalex.org/S4363608217","display_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","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":9,"referenced_works":["https://openalex.org/W1967199668","https://openalex.org/W1977072130","https://openalex.org/W1983700216","https://openalex.org/W1992030785","https://openalex.org/W2025959395","https://openalex.org/W2035040440","https://openalex.org/W2049948613","https://openalex.org/W2116664638","https://openalex.org/W2149498267"],"related_works":["https://openalex.org/W2083122281","https://openalex.org/W2524444659","https://openalex.org/W2022360122","https://openalex.org/W2082533094","https://openalex.org/W1990649136","https://openalex.org/W2035627394","https://openalex.org/W2057082788","https://openalex.org/W3135697610","https://openalex.org/W4316664744","https://openalex.org/W2149276674"],"abstract_inverted_index":{"Feature":[0],"extraction":[1],"is":[2,37,66,71,102,121,138,175,185],"one":[3],"of":[4,22,32,43,51,63,99,118,155,166,170,180,194],"the":[5,29,33,41,44,49,52,58,64,69,74,87,93,97,100,106,112,116,119,124,142,147,159,164,167,171,186,200,207],"most":[6],"important":[7],"issues":[8],"for":[9],"designing":[10],"content-based":[11],"image":[12],"retrieval":[13],"systems.":[14],"In":[15,28,104],"this":[16],"paper,":[17],"we":[18],"present":[19],"a":[20,83,178],"method":[21],"extracting":[23],"feature":[24,187],"to":[25,39,115,163,188],"retrieve":[26,189],"images.":[27,191],"first":[30],"step":[31],"proposed":[34,208],"method,":[35],"bound":[36],"introduced":[38],"mark":[40],"contour":[42],"object.":[45],"The":[46,60,78,153,173],"center":[47,98,117],"and":[48,68,86,96,123,134,145],"circumcircle":[50,120],"object":[53,65,70,95,114,161],"can":[54,126],"be":[55,127],"obtained":[56],"from":[57,108],"bound.":[59],"principal":[61,75],"angle":[62,76,148],"computed":[67],"rotated":[72,94,113,160],"at":[73],"thereof.":[77],"included":[79],"angle,":[80],"made":[81],"by":[82,132,140],"horizontal":[84],"line":[85,88],"connecting":[89],"each":[90,109],"point":[91,110],"within":[92,111],"circumcircle,":[101],"calculated.":[103],"addition,":[105],"distance":[107,133,143],"computed,":[122],"target":[125],"divided":[128],"into":[129,150,177],"several":[130,151],"regions":[131],"angle.":[135],"A":[136],"matrix":[137,174],"constructed":[139],"dividing":[141,146],"horizontally":[144],"vertically":[149],"regions.":[152],"value":[154,165],"all":[156],"pixels":[157],"in":[158],"contributed":[162],"corresponding":[168],"region":[169],"matrix.":[172],"transformed":[176],"vector":[179],"Distance-Angle":[181],"Pixel":[182],"Array":[183],"which":[184],"similar":[190],"Experiments":[192],"results":[193],"testing":[195],"1200":[196],"images":[197],"show":[198],"that":[199],"recognition":[201],"rate":[202],"becomes":[203],"higher":[204],"when":[205],"adding":[206],"method.":[209]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
