{"id":"https://openalex.org/W6888406821","doi":"https://doi.org/10.21227/2qfh-3k26","title":"experimental data","display_name":"experimental data","publication_year":2024,"publication_date":"2024-07-04","ids":{"openalex":"https://openalex.org/W6888406821","doi":"https://doi.org/10.21227/2qfh-3k26"},"language":"en","primary_location":{"id":"doi:10.21227/2qfh-3k26","is_oa":true,"landing_page_url":"https://doi.org/10.21227/2qfh-3k26","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/2qfh-3k26","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Li, Xiaopeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li, Xiaopeng","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.871399998664856},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.7063999772071838},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.460099995136261},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4185999929904938},{"id":"https://openalex.org/keywords/color-model","display_name":"Color model","score":0.37459999322891235},{"id":"https://openalex.org/keywords/color-difference","display_name":"Color difference","score":0.35920000076293945},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.35760000348091125},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.3560999929904938}],"concepts":[{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.871399998664856},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.7063999772071838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6725000143051147},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6200000047683716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5480999946594238},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.460099995136261},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4185999929904938},{"id":"https://openalex.org/C36262787","wikidata":"https://www.wikidata.org/wiki/Q2294018","display_name":"Color model","level":4,"score":0.37459999322891235},{"id":"https://openalex.org/C186991048","wikidata":"https://www.wikidata.org/wiki/Q1184883","display_name":"Color difference","level":3,"score":0.35920000076293945},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.35760000348091125},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.3560999929904938},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3517000079154968},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.33219999074935913},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.3203999996185303},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3050000071525574},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27140000462532043},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.2687000036239624},{"id":"https://openalex.org/C2777385505","wikidata":"https://www.wikidata.org/wiki/Q1396469","display_name":"Color analysis","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.25999999046325684},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/2qfh-3k26","is_oa":true,"landing_page_url":"https://doi.org/10.21227/2qfh-3k26","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/2qfh-3k26","is_oa":true,"landing_page_url":"https://doi.org/10.21227/2qfh-3k26","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Experimental":[0],"results":[1],"and":[2,15,21,31,41,70,80,92],"analysis":[3],"demonstrate":[4],"that":[5,54],"the":[6,34,78,88],"proposed":[7,35],"scheme":[8],"is":[9,73],"secure,":[10],"reliable,":[11],"easy":[12],"to":[13,95],"implement,":[14],"capable":[16],"of":[17,33],"handling":[18],"binary,":[19],"grayscale,":[20],"color":[22,81,98],"secret":[23,57,82],"images":[24,53,66,83,91],"as":[25,27],"well":[26],"cover":[28,52,90,99],"images.The":[29],"characteristics":[30],"effectiveness":[32],"algorithm":[36],"are":[37,67],"demonstrated":[38],"through":[39],"experiments":[40],"comparative":[42],"analysis.":[43],"Specifically,":[44],"we":[45],"illustrate":[46],"its":[47],"application":[48],"by":[49],"considering":[50],"four":[51],"share":[55],"one":[56],"image,":[58],"implemented":[59],"using":[60],"Matlab":[61],"2018":[62],"programming.":[63],"The":[64],"experimental":[65],"shown":[68],",":[69],"each":[71],"size":[72],"128\u00b4128.":[74],"Where":[75],"S1-S2":[76],"represent":[77],"grayscale":[79,89],"respectively,":[84],"while":[85],"C1-C4":[86],"denote":[87],"C5-C8":[93],"correspond":[94],"their":[96],"respective":[97],"images.":[100]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}