{"id":"https://openalex.org/W2044323119","doi":"https://doi.org/10.1155/2007/70351","title":"Recognition of Planar Objects Using Multiresolution Analysis","display_name":"Recognition of Planar Objects Using Multiresolution Analysis","publication_year":2006,"publication_date":"2006-10-09","ids":{"openalex":"https://openalex.org/W2044323119","doi":"https://doi.org/10.1155/2007/70351","mag":"2044323119"},"language":"en","primary_location":{"id":"doi:10.1155/2007/70351","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2007/70351","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2007/70351","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2007/70351","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007404493","display_name":"Nazl\u0131 G\u00fcney","orcid":null},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Nazl\u0131 G\u00fcney","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Bo\u1e21azi\u00e7i University, Bebek, Istanbul, 34342, Turkey","Department of Electrical and Electronics Engineering, Bo\u1e21azi\u00e7i University, Bebek, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Bo\u1e21azi\u00e7i University, Bebek, Istanbul, 34342, Turkey","institution_ids":["https://openalex.org/I4405392"]},{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Bo\u1e21azi\u00e7i University, Bebek, Turkey","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088978453","display_name":"A. Ert\u00fcz\u00fcn","orcid":"https://orcid.org/0000-0002-7674-3738"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ay\u015f\u0131n Ert\u00fcz\u00fcn","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Bo\u1e21azi\u00e7i University, Bebek, Istanbul, 34342, Turkey","Department of Electrical and Electronics Engineering, Bo\u1e21azi\u00e7i University, Bebek, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Bo\u1e21azi\u00e7i University, Bebek, Istanbul, 34342, Turkey","institution_ids":["https://openalex.org/I4405392"]},{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Bo\u1e21azi\u00e7i University, Bebek, Turkey","institution_ids":["https://openalex.org/I4405392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007404493"],"corresponding_institution_ids":["https://openalex.org/I4405392"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17890374,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2007","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9994000196456909,"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":0.9991999864578247,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9984999895095825,"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/wavelet","display_name":"Wavelet","score":0.8111344575881958},{"id":"https://openalex.org/keywords/multiresolution-analysis","display_name":"Multiresolution analysis","score":0.639477550983429},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.6338313221931458},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.6228400468826294},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5799422860145569},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5159207582473755},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4806767404079437},{"id":"https://openalex.org/keywords/planar","display_name":"Planar","score":0.46620380878448486},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.461791068315506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4481807351112366},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4415930509567261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41810864210128784},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4096767008304596},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.399103581905365},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.2576497793197632},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.2054932415485382},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1681736707687378}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.8111344575881958},{"id":"https://openalex.org/C121927907","wikidata":"https://www.wikidata.org/wiki/Q1952516","display_name":"Multiresolution analysis","level":5,"score":0.639477550983429},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.6338313221931458},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.6228400468826294},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5799422860145569},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5159207582473755},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4806767404079437},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.46620380878448486},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.461791068315506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4481807351112366},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4415930509567261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41810864210128784},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4096767008304596},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.399103581905365},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.2576497793197632},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.2054932415485382},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1681736707687378},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2007/70351","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2007/70351","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2007/70351","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.419.4745","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.419.4745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.busim.ee.boun.edu.tr/~ertuzun/publicationsyeni/Nazli2.pdf","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:2a30c4cb635340f284a77aa5d3d8e6eb","is_oa":true,"landing_page_url":"https://doaj.org/article/2a30c4cb635340f284a77aa5d3d8e6eb","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2007/70351","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2007/70351","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2007/70351","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2044323119.pdf","grobid_xml":"https://content.openalex.org/works/W2044323119.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1495861298","https://openalex.org/W1558047356","https://openalex.org/W1967914497","https://openalex.org/W1993744827","https://openalex.org/W2004217976","https://openalex.org/W2048247182","https://openalex.org/W2062024414","https://openalex.org/W2096178037","https://openalex.org/W2098115093","https://openalex.org/W2105542305","https://openalex.org/W2105664606","https://openalex.org/W2116124511","https://openalex.org/W2121013500","https://openalex.org/W2124989332","https://openalex.org/W2129112513","https://openalex.org/W2135913574","https://openalex.org/W2139843619","https://openalex.org/W2143138060","https://openalex.org/W2143601630","https://openalex.org/W2153043356","https://openalex.org/W2183676805","https://openalex.org/W2510824196","https://openalex.org/W2523169138","https://openalex.org/W2623012778","https://openalex.org/W2907408682","https://openalex.org/W4214540058","https://openalex.org/W4236500581","https://openalex.org/W4255272544"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W2561617217","https://openalex.org/W3097449145","https://openalex.org/W4294811468","https://openalex.org/W2355801475","https://openalex.org/W106004901","https://openalex.org/W1567272901","https://openalex.org/W2293755796","https://openalex.org/W2150890277","https://openalex.org/W2051987892"],"abstract_inverted_index":{"By":[0],"using":[1],"affine-invariant":[2,38],"shape":[3],"descriptors,":[4],"it":[5],"is":[6,57,102,114],"possible":[7],"to":[8,72,77,87,100,105,116],"recognize":[9],"an":[10,15,19,37],"unknown":[11],"planar":[12],"object":[13,47],"from":[14,18,41,59,97],"image":[16],"taken":[17],"arbitrary":[20],"view":[21,24],"when":[22,122],"standard":[23],"images":[25],"of":[26,45,66,83,109,141],"candidate":[27],"objects":[28],"exist":[29],"in":[30,80,138],"a":[31,34],"database.":[32],"In":[33,52],"previous":[35],"study,":[36],"function":[39,64,132],"calculated":[40],"the":[42,46,55,60,67,106,123,139],"wavelet":[43],"coefficients":[44,65,126],"boundary":[48],"has":[49],"been":[50],"proposed.":[51],"this":[53],"work,":[54],"invariant":[56],"constructed":[58],"multiwavelet":[61,124],"and":[62,92],"(multi)scaling":[63,131],"boundary.":[68],"Multiwavelets":[69],"are":[70,127,135],"known":[71],"have":[73],"superior":[74],"performance":[75,121],"compared":[76],"scalar":[78,98,143],"wavelets":[79,99,144],"many":[81],"areas":[82],"signal":[84],"processing":[85],"due":[86,104],"their":[88],"simultaneous":[89],"orthogonality,":[90],"symmetry,":[91],"short":[93],"support":[94],"properties.":[95],"Going":[96],"multiwavelets":[101],"challenging":[103],"increased":[107,112],"dimensionality":[108,113],"multiwavelets.":[110],"This":[111],"exploited":[115],"construct":[117],"invariants":[118],"with":[119,130],"better":[120],"\"detail\"":[125],"available.":[128],"However,":[129],"coefficients,":[133],"which":[134],"more":[136],"stable":[137],"presence":[140],"noise,":[142],"cannot":[145],"be":[146],"defeated.":[147]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
