{"id":"https://openalex.org/W3204522752","doi":"https://doi.org/10.1155/2021/6842353","title":"Research on Restoration Algorithm of Tomb Murals Based on Sequential Similarity Detection","display_name":"Research on Restoration Algorithm of Tomb Murals Based on Sequential Similarity Detection","publication_year":2021,"publication_date":"2021-10-07","ids":{"openalex":"https://openalex.org/W3204522752","doi":"https://doi.org/10.1155/2021/6842353","mag":"3204522752"},"language":"en","primary_location":{"id":"doi:10.1155/2021/6842353","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6842353","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/6842353.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/sp/2021/6842353.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100390551","display_name":"Wang Liu","orcid":"https://orcid.org/0000-0002-0378-7625"},"institutions":[{"id":"https://openalex.org/I4210105877","display_name":"Wuhan Donghu University","ror":"https://ror.org/017swdq34","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Liu","raw_affiliation_strings":["Wuhan Donghu University, Wuhan 430071, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Donghu University, Wuhan 430071, Hubei, China","institution_ids":["https://openalex.org/I4210105877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100708800","display_name":"Xiao Li","orcid":"https://orcid.org/0000-0002-1365-317X"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao Li","raw_affiliation_strings":["Zhongnan University of Economics and Lawm, Wuhan 430073, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0002-1365-317X","affiliations":[{"raw_affiliation_string":"Zhongnan University of Economics and Lawm, Wuhan 430073, Hubei, China","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037545215","display_name":"Fengjiao Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101516","display_name":"Guangzhou Design Institute","ror":"https://ror.org/010fems46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210101516"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengjiao Wu","raw_affiliation_strings":["Guangzhou S.P.I Design Co., LTD., Guangzhou 430071, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou S.P.I Design Co., LTD., Guangzhou 430071, Guangdong, China","institution_ids":["https://openalex.org/I4210101516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100708800"],"corresponding_institution_ids":["https://openalex.org/I158934434"],"apc_list":{"value":1800,"currency":"USD","value_usd":1800},"apc_paid":{"value":1800,"currency":"USD","value_usd":1800},"fwci":2.3224,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.90523631,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11212","display_name":"Cultural Heritage Materials Analysis","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11212","display_name":"Cultural Heritage Materials Analysis","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.98089998960495,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9782999753952026,"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/mural","display_name":"Mural","score":0.8991756439208984},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5826482772827148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5389706492424011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5291978120803833},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5096230506896973},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.49770858883857727},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45144224166870117},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43727079033851624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3768387734889984},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22652971744537354},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.1459585428237915},{"id":"https://openalex.org/keywords/art-history","display_name":"Art history","score":0.07894724607467651}],"concepts":[{"id":"https://openalex.org/C2777420470","wikidata":"https://www.wikidata.org/wiki/Q219423","display_name":"Mural","level":3,"score":0.8991756439208984},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5826482772827148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5389706492424011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5291978120803833},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5096230506896973},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.49770858883857727},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45144224166870117},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43727079033851624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3768387734889984},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22652971744537354},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.1459585428237915},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.07894724607467651},{"id":"https://openalex.org/C205783811","wikidata":"https://www.wikidata.org/wiki/Q11629","display_name":"Painting","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/6842353","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6842353","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/6842353.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8b76b5d4c0334da58b68e4729c7ce96b","is_oa":true,"landing_page_url":"https://doaj.org/article/8b76b5d4c0334da58b68e4729c7ce96b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Programming, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/6842353","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6842353","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/6842353.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3204522752.pdf","grobid_xml":"https://content.openalex.org/works/W3204522752.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W2765713907","https://openalex.org/W2924573906","https://openalex.org/W2956959730","https://openalex.org/W2959317056","https://openalex.org/W2963299521","https://openalex.org/W2998072663","https://openalex.org/W3003291827","https://openalex.org/W3017524060","https://openalex.org/W3033963038","https://openalex.org/W3036753083","https://openalex.org/W3088577355","https://openalex.org/W3136296717","https://openalex.org/W4405715712"],"related_works":["https://openalex.org/W2156165022","https://openalex.org/W2610116579","https://openalex.org/W2231338183","https://openalex.org/W2371159815","https://openalex.org/W2477619790","https://openalex.org/W1929133083","https://openalex.org/W2951146958","https://openalex.org/W4255108706","https://openalex.org/W1935333745","https://openalex.org/W2901088209"],"abstract_inverted_index":{"Considering":[0],"the":[1,12,37,55,58,74,79,87,101,108,114,121,136,144,150,156,163,170,178,186,193,206,209],"problems":[2],"of":[3,14,40,60,68,82,91,110,116,159,166,172,180,188,208],"fuzzy":[4],"repair":[5,13,24,183,205],"and":[6,52,93,119,129,131,191,212],"low":[7],"pixel":[8,217],"similarity":[9,29,179,218],"matching":[10,219],"in":[11,31,48,57],"existing":[15],"tomb":[16,22,41,61,69,83,117,152,173,181,194,210],"murals,":[17],"we":[18,35,72,99,142],"propose":[19],"a":[20,65,96,124,215],"novel":[21],"mural":[23,42,62,153,174,182,195],"algorithm":[25,128],"based":[26],"on":[27,113],"sequential":[28,189],"detection":[30,51],"this":[32],"paper.":[33],"First,":[34],"determine":[36,149,169],"gradient":[38,157],"value":[39],"through":[43,123],"second-order":[44],"Gaussian":[45],"Laplace":[46],"operator":[47],"LOG":[49],"edge":[50,59,67,80,115,137,160],"then":[53],"reduce":[54],"noise":[56],"to":[63,77,134,148],"process":[64],"smooth":[66],"mural.":[70],"Further,":[71],"set":[73],"mathematical":[75],"model":[76,202],"obtain":[78,162],"features":[81],"murals.":[84],"To":[85],"calculate":[86,155],"average":[88],"gray":[89],"level":[90],"foreground":[92],"background":[94],"under":[95],"specific":[97],"threshold,":[98],"use":[100,143],"maximum":[102],"interclass":[103],"variance":[104],"method,":[105],"which":[106],"considers":[107],"influence":[109],"small":[111],"cracks":[112,122],"murals":[118,211],"separates":[120],"connected":[125],"domain":[126],"labelling":[127],"open":[130],"close":[132],"operations":[133],"complete":[135,192],"threshold":[138],"segmentation.":[139],"In":[140],"addition,":[141],"priority":[145,171],"calculation":[146],"function":[147],"damaged":[151],"area,":[154],"factor":[158],"information,":[161],"information":[164],"entropy":[165],"different":[167],"angles,":[168],"image":[175],"repair,":[176],"detect":[177],"pixels":[184],"with":[185],"help":[187],"similarity,":[190],"repair.":[196],"Experimental":[197],"results":[198],"show":[199],"that":[200],"our":[201],"can":[203,213],"effectively":[204],"edges":[207],"achieve":[214],"high":[216],"degree.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
