{"id":"https://openalex.org/W2510903853","doi":"https://doi.org/10.1007/978-3-319-46418-3_16","title":"Multi\u2013layer Lacunarity for Texture Recognition","display_name":"Multi\u2013layer Lacunarity for Texture Recognition","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2510903853","doi":"https://doi.org/10.1007/978-3-319-46418-3_16","mag":"2510903853"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-46418-3_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-46418-3_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5091475349","display_name":"P. Mazurek","orcid":"https://orcid.org/0000-0002-7145-3993"},"institutions":[{"id":"https://openalex.org/I155313962","display_name":"West Pomeranian University of Technology","ror":"https://ror.org/0596m7f19","country_code":"PL","type":"education","lineage":["https://openalex.org/I155313962"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Przemys\u0142aw Mazurek","raw_affiliation_strings":["Department of Signal Processing and Multimedia Engineering, West\u2013Pomeranian University of Technology, 26. Kwietnia 10 Street, 71126, Szczecin, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Signal Processing and Multimedia Engineering, West\u2013Pomeranian University of Technology, 26. Kwietnia 10 Street, 71126, Szczecin, Poland","institution_ids":["https://openalex.org/I155313962"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015752696","display_name":"Dorota Oszutowska\u2013Mazurek","orcid":"https://orcid.org/0000-0001-6403-4160"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dorota Oszutowska\u2013Mazurek","raw_affiliation_strings":["Faculty of Motor Transport, Higher School of Technology and Economics in Szczecin, Klonowica 14 Street, 71244, Szczecin, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Motor Transport, Higher School of Technology and Economics in Szczecin, Klonowica 14 Street, 71244, Szczecin, Poland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091475349"],"corresponding_institution_ids":["https://openalex.org/I155313962"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15749618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"174","last_page":"183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9670000076293945,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9670000076293945,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.963100016117096,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9598000049591064,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lacunarity","display_name":"Lacunarity","score":0.9906167387962341},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7823667526245117},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.7555274367332458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7223290801048279},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6702304482460022},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.654637336730957},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5992165207862854},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5326231122016907},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5235806703567505},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.492194801568985},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4659982919692993},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39958396553993225},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.35612255334854126},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.2396288514137268},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1579802930355072},{"id":"https://openalex.org/keywords/fractal-dimension","display_name":"Fractal dimension","score":0.13321995735168457},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.06244891881942749},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.06100350618362427}],"concepts":[{"id":"https://openalex.org/C136534824","wikidata":"https://www.wikidata.org/wiki/Q2771020","display_name":"Lacunarity","level":4,"score":0.9906167387962341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7823667526245117},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.7555274367332458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7223290801048279},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6702304482460022},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.654637336730957},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5992165207862854},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5326231122016907},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5235806703567505},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.492194801568985},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4659982919692993},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39958396553993225},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.35612255334854126},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.2396288514137268},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1579802930355072},{"id":"https://openalex.org/C26546657","wikidata":"https://www.wikidata.org/wiki/Q1412452","display_name":"Fractal dimension","level":3,"score":0.13321995735168457},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.06244891881942749},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.06100350618362427},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-46418-3_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-46418-3_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W8717444","https://openalex.org/W136330952","https://openalex.org/W275171156","https://openalex.org/W632584736","https://openalex.org/W1500941674","https://openalex.org/W1594506861","https://openalex.org/W1749839223","https://openalex.org/W1838283863","https://openalex.org/W2002478524","https://openalex.org/W2053087206","https://openalex.org/W2055048935","https://openalex.org/W2080482466","https://openalex.org/W2130927284","https://openalex.org/W2139049744","https://openalex.org/W2154161333","https://openalex.org/W2275574539","https://openalex.org/W2800860906","https://openalex.org/W4247080099"],"related_works":["https://openalex.org/W2794937160","https://openalex.org/W2510903853","https://openalex.org/W2783731054","https://openalex.org/W2382981128","https://openalex.org/W3211577380","https://openalex.org/W2555326716","https://openalex.org/W2740804836","https://openalex.org/W4212888919","https://openalex.org/W2485830009","https://openalex.org/W2112560785"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}