{"id":"https://openalex.org/W2069922588","doi":"https://doi.org/10.1109/icara.2015.7081193","title":"Colour identification using an adaptive colour model","display_name":"Colour identification using an adaptive colour model","publication_year":2015,"publication_date":"2015-02-01","ids":{"openalex":"https://openalex.org/W2069922588","doi":"https://doi.org/10.1109/icara.2015.7081193","mag":"2069922588"},"language":"en","primary_location":{"id":"doi:10.1109/icara.2015.7081193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icara.2015.7081193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 6th International Conference on Automation, Robotics and Applications (ICARA)","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/A5071739331","display_name":"Feng Su","orcid":"https://orcid.org/0000-0002-3716-7248"},"institutions":[{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Feng Su","raw_affiliation_strings":["School of Computing Engineering and Mathematics, University of Western Sydney, Penrith, NSW, Australia","School of Computing Engineering and Mathematics, University of Western Sydney, Locked Bag 1797, Penrith, NSW 2751, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Engineering and Mathematics, University of Western Sydney, Penrith, NSW, Australia","institution_ids":["https://openalex.org/I63525965"]},{"raw_affiliation_string":"School of Computing Engineering and Mathematics, University of Western Sydney, Locked Bag 1797, Penrith, NSW 2751, Australia","institution_ids":["https://openalex.org/I63525965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068677405","display_name":"Gu Fang","orcid":"https://orcid.org/0000-0003-3723-1665"},"institutions":[{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gu Fang","raw_affiliation_strings":["School of Computing Engineering and Mathematics, University of Western Sydney, Penrith, NSW, Australia","School of Computing Engineering and Mathematics, University of Western Sydney, Locked Bag 1797, Penrith, NSW 2751, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Engineering and Mathematics, University of Western Sydney, Penrith, NSW, Australia","institution_ids":["https://openalex.org/I63525965"]},{"raw_affiliation_string":"School of Computing Engineering and Mathematics, University of Western Sydney, Locked Bag 1797, Penrith, NSW 2751, Australia","institution_ids":["https://openalex.org/I63525965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63525965"],"apc_list":null,"apc_paid":null,"fwci":0.2177,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60139595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"466","last_page":"471"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9918000102043152,"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"}},"topics":[{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9918000102043152,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9822999835014343,"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":0.9732999801635742,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7776967883110046},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.7435098886489868},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6921795010566711},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6898963451385498},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6565731167793274},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5357196927070618},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5243221521377563}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7776967883110046},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.7435098886489868},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6921795010566711},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6898963451385498},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6565731167793274},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5357196927070618},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5243221521377563},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icara.2015.7081193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icara.2015.7081193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 6th International Conference on Automation, Robotics and Applications (ICARA)","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":23,"referenced_works":["https://openalex.org/W115232434","https://openalex.org/W1490482062","https://openalex.org/W1497631100","https://openalex.org/W1529196807","https://openalex.org/W1535276119","https://openalex.org/W1599851310","https://openalex.org/W1914071192","https://openalex.org/W2037540881","https://openalex.org/W2046773281","https://openalex.org/W2054239765","https://openalex.org/W2068192630","https://openalex.org/W2084476504","https://openalex.org/W2103827867","https://openalex.org/W2107029513","https://openalex.org/W2122679244","https://openalex.org/W2146797873","https://openalex.org/W2167306045","https://openalex.org/W2172278011","https://openalex.org/W2311440533","https://openalex.org/W2482089536","https://openalex.org/W6632001116","https://openalex.org/W6698986724","https://openalex.org/W6721997535"],"related_works":["https://openalex.org/W4320518079","https://openalex.org/W2039822179","https://openalex.org/W4386771591","https://openalex.org/W2972873516","https://openalex.org/W2405125474","https://openalex.org/W2074864407","https://openalex.org/W2364223252","https://openalex.org/W1989502759","https://openalex.org/W2363908918","https://openalex.org/W2153132133"],"abstract_inverted_index":{"Colour":[0],"identification":[1,15,49],"is":[2,51,78,96,108,135],"a":[3,46,69,82],"common":[4],"task":[5],"for":[6],"many":[7],"applications":[8],"in":[9,25,87],"computer":[10],"vision.":[11],"Many":[12],"existing":[13],"colour":[14,48,58,83,94,116,141],"methods":[16],"are":[17,31],"application":[18],"dependent.":[19],"Therefore,":[20],"they":[21],"could":[22],"only":[23],"operate":[24],"certain":[26],"environments":[27],"and":[28,38],"their":[29],"performances":[30],"highly":[32],"dependent":[33],"on":[34,99,124],"the":[35,41,65,74,89,106,111,114,120,139],"lighting":[36],"condition":[37],"quality":[39],"of":[40,71,113,137],"images.":[42],"In":[43],"this":[44,133],"paper,":[45],"novel":[47],"method":[50,62,134],"introduced":[52],"using":[53],"an":[54],"adaptive":[55],"hue":[56,92],"based":[57,93,98],"model.":[59],"The":[60],"proposed":[61],"firstly":[63],"analyses":[64],"image":[66,103,107],"by":[67,81],"collecting":[68],"variety":[70],"information":[72],"from":[73,127,143],"given":[75],"image.":[76],"It":[77],"then":[79],"followed":[80],"space":[84,95],"selection":[85],"scheme":[86],"which":[88],"most":[90],"suitable":[91],"selected":[97,115],"properties":[100],"obtained":[101],"through":[102,110],"analysis.":[104],"Finally,":[105],"filtered":[109],"channels":[112],"model":[117],"to":[118],"identify":[119],"target":[121],"colour.":[122],"Tests":[123],"various":[125],"images":[126,144],"different":[128],"datasets":[129],"have":[130],"shown":[131],"that":[132],"capable":[136],"extracting":[138],"required":[140],"effectively":[142],"with":[145],"varying":[146],"qualities.":[147]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
