{"id":"https://openalex.org/W4414065208","doi":"https://doi.org/10.3103/s014641162570052x","title":"Feature Extraction and Recognition Based on Integrated Material Painting Images","display_name":"Feature Extraction and Recognition Based on Integrated Material Painting Images","publication_year":2025,"publication_date":"2025-06-01","ids":{"openalex":"https://openalex.org/W4414065208","doi":"https://doi.org/10.3103/s014641162570052x"},"language":"en","primary_location":{"id":"doi:10.3103/s014641162570052x","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s014641162570052x","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-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/A5115598246","display_name":"Ying Cheng","orcid":"https://orcid.org/0000-0001-6902-0542"},"institutions":[{"id":"https://openalex.org/I4210112851","display_name":"Cangzhou Normal University","ror":"https://ror.org/01de7qg49","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210112851"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Cheng","raw_affiliation_strings":["School of Fine Arts, Cangzhou Normal University, 061001, Cangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Fine Arts, Cangzhou Normal University, 061001, Cangzhou, China","institution_ids":["https://openalex.org/I4210112851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325348","display_name":"Hongwei Li","orcid":"https://orcid.org/0000-0002-9892-8370"},"institutions":[{"id":"https://openalex.org/I4210112851","display_name":"Cangzhou Normal University","ror":"https://ror.org/01de7qg49","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210112851"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Li","raw_affiliation_strings":["School of Fine Arts, Cangzhou Normal University, 061001, Cangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Fine Arts, Cangzhou Normal University, 061001, Cangzhou, China","institution_ids":["https://openalex.org/I4210112851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115604808","display_name":"Tao Meng","orcid":"https://orcid.org/0000-0002-8979-2678"},"institutions":[{"id":"https://openalex.org/I4210112851","display_name":"Cangzhou Normal University","ror":"https://ror.org/01de7qg49","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210112851"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Meng","raw_affiliation_strings":["School of Fine Arts, Cangzhou Normal University, 061001, Cangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Fine Arts, Cangzhou Normal University, 061001, Cangzhou, China","institution_ids":["https://openalex.org/I4210112851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038918664","display_name":"Lu Bai","orcid":"https://orcid.org/0000-0002-7091-5965"},"institutions":[{"id":"https://openalex.org/I4210112851","display_name":"Cangzhou Normal University","ror":"https://ror.org/01de7qg49","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210112851"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Bai","raw_affiliation_strings":["School of Fine Arts, Cangzhou Normal University, 061001, Cangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Fine Arts, Cangzhou Normal University, 061001, Cangzhou, China","institution_ids":["https://openalex.org/I4210112851"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100443879","display_name":"Yan Li","orcid":"https://orcid.org/0000-0002-4694-4926"},"institutions":[{"id":"https://openalex.org/I4210112851","display_name":"Cangzhou Normal University","ror":"https://ror.org/01de7qg49","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210112851"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["School of Fine Arts, Cangzhou Normal University, 061001, Cangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Fine Arts, Cangzhou Normal University, 061001, Cangzhou, China","institution_ids":["https://openalex.org/I4210112851"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5115598246"],"corresponding_institution_ids":["https://openalex.org/I4210112851"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32976654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"59","issue":"3","first_page":"355","last_page":"367"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11212","display_name":"Cultural Heritage Materials Analysis","score":0.9761000275611877,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9708999991416931,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/grayscale","display_name":"Grayscale","score":0.7361999750137329},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6394000053405762},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5145999789237976},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5077000260353088},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.4424000084400177},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41850000619888306},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41830000281333923},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3953999876976013},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.3382999897003174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8230000138282776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7717000246047974},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.7361999750137329},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6394000053405762},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5845000147819519},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5145999789237976},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5077000260353088},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.4424000084400177},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41850000619888306},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41830000281333923},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3953999876976013},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.3382999897003174},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.3343999981880188},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.3140000104904175},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.29910001158714294},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.28700000047683716},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.28459998965263367},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.28349998593330383},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.26899999380111694},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.25609999895095825},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.25}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s014641162570052x","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s014641162570052x","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2914331134","https://openalex.org/W3003343713","https://openalex.org/W3012281902","https://openalex.org/W3018954204","https://openalex.org/W3026800724","https://openalex.org/W3031696400","https://openalex.org/W3040803647","https://openalex.org/W3044443604","https://openalex.org/W3098741497","https://openalex.org/W3161241224","https://openalex.org/W3211697047","https://openalex.org/W4206977290","https://openalex.org/W4213420036","https://openalex.org/W4226098341","https://openalex.org/W4226315368","https://openalex.org/W4244113446","https://openalex.org/W4309081496","https://openalex.org/W4383954714","https://openalex.org/W4384200653","https://openalex.org/W4385356417"],"related_works":["https://openalex.org/W2580687016","https://openalex.org/W2886265999","https://openalex.org/W2383951830","https://openalex.org/W1591565242","https://openalex.org/W2369092230","https://openalex.org/W2357187602","https://openalex.org/W2940819518","https://openalex.org/W2233552742","https://openalex.org/W2389267382","https://openalex.org/W2365130165"],"abstract_inverted_index":{"With":[0],"the":[1,6,25,61,68,70,94,98,123,127,135,141,146,165,171,174],"rise":[2],"of":[3,13,19,27,64,91,126,131,150,167,176],"digital":[4,168],"art,":[5,169],"demand":[7],"for":[8,161,173],"classification":[9,31],"and":[10,30,44,73,79,103,109,148],"recognition":[11,32],"technology":[12,56],"images":[14],"is":[15,22,49,57],"increasing.":[16],"The":[17,51],"purpose":[18],"this":[20],"study":[21,99],"to":[23,59,83],"improve":[24],"accuracy":[26,72,108,147],"feature":[28,47,65,136],"extraction":[29,48,137],"in":[33,97,106,129,140,164],"Chinese":[34,151],"painting":[35,152],"images.":[36],"A":[37],"method":[38,138],"combining":[39],"multicolor":[40],"gamut":[41],"texture":[42],"analysis":[43,163],"block":[45],"color":[46],"introduced.":[50],"multiresolution":[52],"grayscale":[53,85],"co-occurrence":[54,86],"matrix":[55,87],"applied":[58],"enhance":[60],"expression":[62],"ability":[63],"vectors.":[66],"Form":[67],"results,":[69],"average":[71,107],"recall":[74,110],"were":[75],"improved":[76,145],"by":[77],"12.2":[78],"14%":[80],"respectively":[81],"compared":[82],"traditional":[84,120],"methods.":[88],"In":[89,133],"terms":[90,130],"noise":[92,113],"resistance,":[93],"algorithm":[95,128],"proposed":[96,139],"showed":[100],"a":[101,157],"7":[102],"7.5%":[104],"decrease":[105],"under":[111],"30dB":[112],"conditions,":[114],"which":[115],"was":[116],"significantly":[117],"better":[118],"than":[119],"methods,":[121],"proving":[122],"significant":[124],"advantage":[125],"robustness.":[132],"summary,":[134],"research":[142],"has":[143],"effectively":[144],"robustness":[149],"image":[153,162,178],"classification.":[154],"This":[155],"provides":[156],"new":[158],"technological":[159],"path":[160],"field":[166],"laying":[170],"foundation":[172],"development":[175],"art":[177],"processing":[179],"technology.":[180]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}