{"id":"https://openalex.org/W2075205624","doi":"https://doi.org/10.1142/s0218001412550117","title":"A REVIEW OF WAVELET-BASED EDGE DETECTION METHODS","display_name":"A REVIEW OF WAVELET-BASED EDGE DETECTION METHODS","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2075205624","doi":"https://doi.org/10.1142/s0218001412550117","mag":"2075205624"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001412550117","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001412550117","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},"type":"review","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/A5088945087","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0001-9800-7697"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]},{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"P. S. P. WANG","raw_affiliation_strings":["CCIS, Northeastern University, Boston, USA","ENCU, Shanghai, P. R. China"],"affiliations":[{"raw_affiliation_string":"CCIS, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129","https://openalex.org/I111088046"]},{"raw_affiliation_string":"ENCU, Shanghai, P. R. China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100632859","display_name":"Jianwei Yang","orcid":"https://orcid.org/0000-0002-2022-6002"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JIANWEI YANG","raw_affiliation_strings":["College of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing 210044, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing 210044, P. R. China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088945087"],"corresponding_institution_ids":["https://openalex.org/I111088046","https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":1.0982,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.80102961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"26","issue":"07","first_page":"1255011","last_page":"1255011"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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":0.9994000196456909,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.996999979019165,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7628535628318787},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.7238353490829468},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6855738162994385},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.6703084111213684},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6460374593734741},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5966892838478088},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5813478827476501},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5430916547775269},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.52967369556427},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4841924011707306},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44592443108558655}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7628535628318787},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7238353490829468},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6855738162994385},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.6703084111213684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6460374593734741},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5966892838478088},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5813478827476501},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5430916547775269},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.52967369556427},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4841924011707306},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44592443108558655},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001412550117","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001412550117","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W73302817","https://openalex.org/W590134283","https://openalex.org/W1495971627","https://openalex.org/W1499677203","https://openalex.org/W1964598134","https://openalex.org/W1965051846","https://openalex.org/W1971594963","https://openalex.org/W1979116456","https://openalex.org/W1980149518","https://openalex.org/W1990805796","https://openalex.org/W1991464229","https://openalex.org/W1996021349","https://openalex.org/W2003292635","https://openalex.org/W2003370853","https://openalex.org/W2004217976","https://openalex.org/W2008567174","https://openalex.org/W2010435544","https://openalex.org/W2018812645","https://openalex.org/W2029487796","https://openalex.org/W2038085282","https://openalex.org/W2038691774","https://openalex.org/W2039367092","https://openalex.org/W2050834445","https://openalex.org/W2051827130","https://openalex.org/W2058751655","https://openalex.org/W2059941115","https://openalex.org/W2064793782","https://openalex.org/W2066462711","https://openalex.org/W2069713616","https://openalex.org/W2073996439","https://openalex.org/W2076441903","https://openalex.org/W2076567023","https://openalex.org/W2080034386","https://openalex.org/W2083133099","https://openalex.org/W2083916725","https://openalex.org/W2090736344","https://openalex.org/W2092311609","https://openalex.org/W2097061348","https://openalex.org/W2098914003","https://openalex.org/W2101762201","https://openalex.org/W2111377750","https://openalex.org/W2113477189","https://openalex.org/W2115755118","https://openalex.org/W2116966666","https://openalex.org/W2117188745","https://openalex.org/W2117274643","https://openalex.org/W2117853853","https://openalex.org/W2121049358","https://openalex.org/W2121690517","https://openalex.org/W2122741244","https://openalex.org/W2124614039","https://openalex.org/W2127788404","https://openalex.org/W2128989367","https://openalex.org/W2129146260","https://openalex.org/W2129276048","https://openalex.org/W2130132923","https://openalex.org/W2133136008","https://openalex.org/W2134078140","https://openalex.org/W2137155471","https://openalex.org/W2144506334","https://openalex.org/W2145023731","https://openalex.org/W2147121194","https://openalex.org/W2148904422","https://openalex.org/W2152328854","https://openalex.org/W2158008371","https://openalex.org/W2168717169","https://openalex.org/W2172263315","https://openalex.org/W2186125834","https://openalex.org/W2395267826","https://openalex.org/W2544972162","https://openalex.org/W2907408682","https://openalex.org/W2978779817","https://openalex.org/W3141443221","https://openalex.org/W4210381520","https://openalex.org/W4210621722","https://openalex.org/W4214540058","https://openalex.org/W4250616940","https://openalex.org/W4255272544","https://openalex.org/W6604385206"],"related_works":["https://openalex.org/W2045615376","https://openalex.org/W2541950815","https://openalex.org/W1577789985","https://openalex.org/W1821156092","https://openalex.org/W3003164983","https://openalex.org/W3201916710","https://openalex.org/W2161229648","https://openalex.org/W2340360913","https://openalex.org/W2763966779","https://openalex.org/W57803080"],"abstract_inverted_index":{"Edges":[0],"are":[1,12],"prominent":[2],"features":[3],"in":[4,15,108],"images.":[5],"The":[6,63],"detection":[7,45,54],"and":[8,20,44,77,102,131],"analysis":[9,43],"of":[10,33,46,51,65,74,81,90,95,121,124,134],"edges":[11],"key":[13],"issues":[14],"image":[16,87],"processing,":[17],"computer":[18],"vision":[19],"pattern":[21,109],"recognition.":[22,110],"Wavelet":[23,35],"provides":[24],"a":[25,71],"powerful":[26],"tool":[27],"to":[28,41,69],"analyze":[29],"the":[30,42,60,79,93,119,128,132],"local":[31],"regularity":[32],"signals.":[34],"transform":[36],"has":[37],"been":[38,57],"successfully":[39],"applied":[40],"edges.":[47,125],"A":[48],"great":[49],"number":[50],"wavelet-based":[52],"edge":[53],"methods":[55],"have":[56],"proposed":[58],"over":[59],"past":[61],"years.":[62],"objective":[64],"this":[66,82,112],"paper":[67],"is":[68,88,116],"give":[70],"brief":[72],"review":[73],"these":[75,135],"methods,":[76],"encourage":[78],"research":[80],"topic.":[83],"In":[84,111],"practice,":[85],"an":[86,105],"usually":[89],"multistructure":[91],"edge,":[92],"identification":[94,120],"different":[96,122],"edges,":[97],"such":[98],"as":[99],"steps,":[100],"curves":[101],"junctions":[103],"play":[104],"important":[106],"role":[107],"paper,":[113],"more":[114],"attention":[115],"paid":[117],"on":[118],"types":[123],"We":[126],"present":[127],"main":[129],"idea":[130],"properties":[133],"methods.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
