{"id":"https://openalex.org/W1606134531","doi":"https://doi.org/10.1109/fcv.2015.7103718","title":"Edge detection in wavelet transform domain","display_name":"Edge detection in wavelet transform domain","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W1606134531","doi":"https://doi.org/10.1109/fcv.2015.7103718","mag":"1606134531"},"language":"en","primary_location":{"id":"doi:10.1109/fcv.2015.7103718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fcv.2015.7103718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV)","raw_type":"proceedings-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/A5075845640","display_name":"Woon Cho","orcid":"https://orcid.org/0000-0002-6853-4581"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Woon Cho","raw_affiliation_strings":["Dept. Information and Communication Engineering, Dongguk University-Seoul, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Dept. Information and Communication Engineering, Dongguk University-Seoul, Seoul, South Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036737902","display_name":"Joonhyeon Jeon","orcid":"https://orcid.org/0000-0002-9871-0195"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joonhyeon Jeon","raw_affiliation_strings":["Dept. Information and Communication Engineering, Dongguk University-Seoul, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Dept. Information and Communication Engineering, Dongguk University-Seoul, Seoul, South Korea","institution_ids":["https://openalex.org/I205490536"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075845640"],"corresponding_institution_ids":["https://openalex.org/I205490536"],"apc_list":null,"apc_paid":null,"fwci":0.5523,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73335902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"37","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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":0.9994999766349792,"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":0.996399998664856,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9943000078201294,"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/edge-detection","display_name":"Edge detection","score":0.702674150466919},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6720708608627319},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6564894318580627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6376572251319885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6127089262008667},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5916847586631775},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5384810566902161},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5027468204498291},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4848938584327698},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.454087495803833},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4497950077056885},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.43928617238998413},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4371117055416107},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.429020494222641},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.30249935388565063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23698723316192627},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08477979898452759},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.07473748922348022},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05581545829772949}],"concepts":[{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.702674150466919},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6720708608627319},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6564894318580627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6376572251319885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6127089262008667},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5916847586631775},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5384810566902161},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5027468204498291},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4848938584327698},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.454087495803833},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4497950077056885},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.43928617238998413},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4371117055416107},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.429020494222641},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30249935388565063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23698723316192627},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08477979898452759},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.07473748922348022},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05581545829772949},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fcv.2015.7103718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fcv.2015.7103718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2003370853","https://openalex.org/W2017745767","https://openalex.org/W2035856912","https://openalex.org/W2101634182","https://openalex.org/W2105542305","https://openalex.org/W2127201942","https://openalex.org/W2129270900","https://openalex.org/W2134407961","https://openalex.org/W2145023731","https://openalex.org/W2166982406","https://openalex.org/W6675320918","https://openalex.org/W6684561609"],"related_works":["https://openalex.org/W3169126738","https://openalex.org/W1994279415","https://openalex.org/W2558559991","https://openalex.org/W1986338341","https://openalex.org/W2545065926","https://openalex.org/W2980082320","https://openalex.org/W2036421992","https://openalex.org/W3093839383","https://openalex.org/W2387510934","https://openalex.org/W2015446345"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"an":[3,24],"efficient":[4],"and":[5,67],"accurate":[6],"method":[7,41],"using":[8],"two":[9,27],"2-Dimensional":[10],"bandpass":[11],"filtered":[12],"signals":[13],"for":[14],"edge":[15,48,70],"detection":[16],"of":[17,50],"images,":[18],"which":[19],"are":[20],"obtained":[21],"by":[22],"decomposing":[23],"image":[25,51],"into":[26],"high":[28,43],"frequency":[29],"subband":[30],"images":[31],"in":[32,45,62,69],"wavelet":[33],"domain.":[34],"Simulation":[35],"results":[36],"show":[37],"that":[38],"the":[39,47,64],"proposed":[40],"has":[42],"accuracy":[44],"detecting":[46],"areas":[49],"as":[52],"is":[53],"compared":[54],"to":[55],"existing":[56],"methods.":[57],"It":[58],"provides":[59],"new":[60],"insights":[61],"overcoming":[63],"scale":[65],"sensitivity":[66],"noises":[68],"detection.":[71]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}