{"id":"https://openalex.org/W2002126584","doi":"https://doi.org/10.1016/s0031-3203(01)00153-4","title":"Fourier and wavelet descriptors for shape recognition using neural networks\u2014a comparative study","display_name":"Fourier and wavelet descriptors for shape recognition using neural networks\u2014a comparative study","publication_year":2002,"publication_date":"2002-07-26","ids":{"openalex":"https://openalex.org/W2002126584","doi":"https://doi.org/10.1016/s0031-3203(01)00153-4","mag":"2002126584"},"language":"en","primary_location":{"id":"doi:10.1016/s0031-3203(01)00153-4","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0031-3203(01)00153-4","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","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/A5009405646","display_name":"S. Osowski","orcid":"https://orcid.org/0000-0003-3194-4656"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Stanislaw Osowski","raw_affiliation_strings":["Warsaw University of Technology, 00-661 Warsaw, pl. Politechniki 1, Poland"],"affiliations":[{"raw_affiliation_string":"Warsaw University of Technology, 00-661 Warsaw, pl. Politechniki 1, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054612632","display_name":"Do Dinh Nghia","orcid":null},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Do Dinh Nghia","raw_affiliation_strings":["Warsaw University of Technology, 00-661 Warsaw, pl. Politechniki 1, Poland"],"affiliations":[{"raw_affiliation_string":"Warsaw University of Technology, 00-661 Warsaw, pl. Politechniki 1, Poland","institution_ids":["https://openalex.org/I108403487"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009405646"],"corresponding_institution_ids":["https://openalex.org/I108403487"],"apc_list":{"value":2710,"currency":"USD","value_usd":2710},"apc_paid":null,"fwci":4.7125,"has_fulltext":false,"cited_by_count":119,"citation_normalized_percentile":{"value":0.95091584,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"35","issue":"9","first_page":"1949","last_page":"1957"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9958999752998352,"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":0.9958999752998352,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.978600025177002,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9736999869346619,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.8315401673316956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7205424308776855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7200067639350891},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.683012843132019},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6628648638725281},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6298292875289917},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.6092853546142578},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4874858856201172},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.4822748005390167},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4718891382217407},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.42699068784713745},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4258929491043091},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15960898995399475}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.8315401673316956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7205424308776855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7200067639350891},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.683012843132019},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6628648638725281},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6298292875289917},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.6092853546142578},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4874858856201172},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.4822748005390167},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4718891382217407},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.42699068784713745},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4258929491043091},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15960898995399475},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/s0031-3203(01)00153-4","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0031-3203(01)00153-4","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","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":22,"referenced_works":["https://openalex.org/W740415","https://openalex.org/W1555888001","https://openalex.org/W1963858098","https://openalex.org/W1969625066","https://openalex.org/W1990517717","https://openalex.org/W2002011878","https://openalex.org/W2051688318","https://openalex.org/W2054804336","https://openalex.org/W2057853719","https://openalex.org/W2061383870","https://openalex.org/W2062024414","https://openalex.org/W2066620006","https://openalex.org/W2066893709","https://openalex.org/W2115755118","https://openalex.org/W2124776405","https://openalex.org/W2166322089","https://openalex.org/W2329660048","https://openalex.org/W3017143921","https://openalex.org/W3149448910","https://openalex.org/W4232670376","https://openalex.org/W4234148448","https://openalex.org/W4255272544"],"related_works":["https://openalex.org/W2541950815","https://openalex.org/W3106494386","https://openalex.org/W2260347576","https://openalex.org/W3128183380","https://openalex.org/W3180317361","https://openalex.org/W2168633924","https://openalex.org/W2275230947","https://openalex.org/W2096759350","https://openalex.org/W4284695928","https://openalex.org/W2042351117"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":11}],"updated_date":"2026-01-16T23:16:36.188383","created_date":"2025-10-10T00:00:00"}