{"id":"https://openalex.org/W1963571812","doi":"https://doi.org/10.1117/12.2030614","title":"Color image retrieval based on refined edge histograms","display_name":"Color image retrieval based on refined edge histograms","publication_year":2013,"publication_date":"2013-07-19","ids":{"openalex":"https://openalex.org/W1963571812","doi":"https://doi.org/10.1117/12.2030614","mag":"1963571812"},"language":"en","primary_location":{"id":"doi:10.1117/12.2030614","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2030614","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":"conference-paper","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/A5101514016","display_name":"Xiaohui Yang","orcid":"https://orcid.org/0000-0002-6423-6798"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Yang","raw_affiliation_strings":["Henan Univ. (China)","Henan University, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Univ. (China)","institution_ids":["https://openalex.org/I173899330"]},{"raw_affiliation_string":"Henan University, China#TAB#","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413125","display_name":"Jiali Liu","orcid":"https://orcid.org/0000-0002-8732-6139"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiali Liu","raw_affiliation_strings":["Henan Univ. (China)","Henan University, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Univ. (China)","institution_ids":["https://openalex.org/I173899330"]},{"raw_affiliation_string":"Henan University, China#TAB#","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084060859","display_name":"Lijun Cai","orcid":"https://orcid.org/0000-0001-5464-3325"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Cai","raw_affiliation_strings":["Henan Univ. (China)","Henan University, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Univ. (China)","institution_ids":["https://openalex.org/I173899330"]},{"raw_affiliation_string":"Henan University, China#TAB#","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031128531","display_name":"Deng\u2010Feng Li","orcid":"https://orcid.org/0000-0002-4963-4181"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengfeng Li","raw_affiliation_strings":["Henan Univ. (China)","Henan University, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Univ. (China)","institution_ids":["https://openalex.org/I173899330"]},{"raw_affiliation_string":"Henan University, China#TAB#","institution_ids":["https://openalex.org/I173899330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I173899330"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04578916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8878","issue":null,"first_page":"887820","last_page":"887820"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9923999905586243,"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":0.9923999905586243,"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":0.9871000051498413,"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":0.9150999784469604,"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":0.8154079914093018},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.7647498846054077},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7498435974121094},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.7099406719207764},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.638277530670166},{"id":"https://openalex.org/keywords/color-normalization","display_name":"Color normalization","score":0.6301043033599854},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6253381967544556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5789350271224976},{"id":"https://openalex.org/keywords/image-histogram","display_name":"Image histogram","score":0.559670090675354},{"id":"https://openalex.org/keywords/histogram-matching","display_name":"Histogram matching","score":0.5559285283088684},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.5349074602127075},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5171141624450684},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5044995546340942},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.44919538497924805},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4391739070415497},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.4353231191635132},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.42381569743156433},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38503068685531616},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28151440620422363},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.18664142489433289}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8154079914093018},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.7647498846054077},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7498435974121094},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7099406719207764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.638277530670166},{"id":"https://openalex.org/C44404184","wikidata":"https://www.wikidata.org/wiki/Q5148620","display_name":"Color normalization","level":5,"score":0.6301043033599854},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6253381967544556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5789350271224976},{"id":"https://openalex.org/C62725073","wikidata":"https://www.wikidata.org/wiki/Q1771663","display_name":"Image histogram","level":5,"score":0.559670090675354},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.5559285283088684},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.5349074602127075},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5171141624450684},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5044995546340942},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.44919538497924805},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4391739070415497},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.4353231191635132},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.42381569743156433},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38503068685531616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28151440620422363},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.18664142489433289},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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:10.1117/12.2030614","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2030614","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2354812287","https://openalex.org/W2170563037","https://openalex.org/W2133206511","https://openalex.org/W2916232557","https://openalex.org/W2059962959","https://openalex.org/W2374879862","https://openalex.org/W1489478967","https://openalex.org/W225284505","https://openalex.org/W2369843089","https://openalex.org/W2013068102"],"abstract_inverted_index":{"Color":[0],"is":[1,15,60],"an":[2],"important":[3],"visual":[4],"feature":[5],"of":[6,12,42],"images.":[7],"However,":[8],"a":[9,32],"major":[10],"drawback":[11],"color":[13,63,76],"histogram":[14,41,54],"that":[16,69],"it":[17],"will":[18],"loss":[19],"spatial":[20],"information":[21],"and":[22,37,79,83],"lead":[23],"to":[24,46,62,86],"false":[25],"retrieval.":[26,65],"In":[27],"this":[28],"paper,":[29],"we":[30],"present":[31],"\"Back\"-shape":[33],"regional":[34],"division":[35],"approach":[36],"combine":[38],"with":[39],"pyramid":[40],"orientated":[43],"gradients":[44],"(PHOG)":[45],"extract":[47],"image":[48,64,77],"edge":[49,53],"features,":[50],"termed":[51],"refined":[52],"(REH).":[55],"Moreover,":[56],"the":[57,70],"REH":[58],"descriptor":[59],"applied":[61],"Experimental":[66],"results":[67],"show":[68],"proposed":[71],"EDH":[72],"are":[73],"suitable":[74],"for":[75],"retrieval":[78],"has":[80],"higher":[81],"precision":[82],"recall":[84],"compared":[85],"other":[87],"existing":[88],"methods.":[89]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
