{"id":"https://openalex.org/W2588022418","doi":"https://doi.org/10.1109/cisp-bmei.2016.7852745","title":"A new stroke filter by DOG","display_name":"A new stroke filter by DOG","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2588022418","doi":"https://doi.org/10.1109/cisp-bmei.2016.7852745","mag":"2588022418"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2016.7852745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7852745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5030613267","display_name":"Chu\u2010Sing Yang","orcid":"https://orcid.org/0000-0001-6461-7171"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chu-Sing Yang","raw_affiliation_strings":["Department of Electrical Engineering, National Cheng Kung University, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University, Taiwan, R.O.C","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030705513","display_name":"Yung-Hsian Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yung-Hsian Yang","raw_affiliation_strings":["Department of Electrical Engineering, National Cheng Kung University, Taiwan, R.O.C"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University, Taiwan, R.O.C","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"406","last_page":"411"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9965999722480774,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9965999722480774,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9947999715805054,"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":0.9878000020980835,"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":0.680264949798584},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6624628305435181},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5412203669548035},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5309837460517883},{"id":"https://openalex.org/keywords/gaussian-filter","display_name":"Gaussian filter","score":0.5090270042419434},{"id":"https://openalex.org/keywords/isotropy","display_name":"Isotropy","score":0.4534301161766052},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4532710611820221},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4482465386390686},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4276466965675354},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.41614818572998047},{"id":"https://openalex.org/keywords/threshold-limit-value","display_name":"Threshold limit value","score":0.4122634828090668},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3259388208389282},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22008401155471802},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18410950899124146},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14032447338104248},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12551647424697876}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.680264949798584},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6624628305435181},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5412203669548035},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5309837460517883},{"id":"https://openalex.org/C65892221","wikidata":"https://www.wikidata.org/wiki/Q1113935","display_name":"Gaussian filter","level":3,"score":0.5090270042419434},{"id":"https://openalex.org/C184050105","wikidata":"https://www.wikidata.org/wiki/Q273163","display_name":"Isotropy","level":2,"score":0.4534301161766052},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4532710611820221},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4482465386390686},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4276466965675354},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.41614818572998047},{"id":"https://openalex.org/C64413873","wikidata":"https://www.wikidata.org/wiki/Q21005","display_name":"Threshold limit value","level":2,"score":0.4122634828090668},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3259388208389282},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22008401155471802},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18410950899124146},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14032447338104248},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12551647424697876},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2016.7852745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7852745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1638919170","https://openalex.org/W1990179043","https://openalex.org/W2003099669","https://openalex.org/W2007667797","https://openalex.org/W2020935547","https://openalex.org/W2060243765","https://openalex.org/W2119605622","https://openalex.org/W2120831521","https://openalex.org/W2133059825","https://openalex.org/W2142159465","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2162808897","https://openalex.org/W4285719527","https://openalex.org/W6636686307"],"related_works":["https://openalex.org/W2794789911","https://openalex.org/W4298134547","https://openalex.org/W2122976425","https://openalex.org/W2088773039","https://openalex.org/W2893218741","https://openalex.org/W2028697747","https://openalex.org/W4382753160","https://openalex.org/W2284229495","https://openalex.org/W4320084277","https://openalex.org/W2362920536"],"abstract_inverted_index":{"We":[0,48],"propose":[1],"a":[2,64,71,76],"region":[3],"base":[4],"simple":[5],"method":[6,21,32,74,102,115],"to":[7,62,80,112],"filter":[8,81,91],"out":[9,82,92],"strokes,":[10],"which":[11,40],"is":[12,33,41],"brighter":[13],"or":[14],"darker":[15],"than":[16,60],"the":[17,50,83],"background.":[18],"And":[19],"this":[20],"had":[22],"good":[23],"performance":[24],"at":[25],"blur,":[26],"low":[27],"contrast,":[28],"and":[29,57,75,106],"shadow.":[30],"The":[31],"implement":[34],"by":[35,103],"Difference":[36],"of":[37,52],"Gaussian":[38],"(DOG),":[39],"applied":[42],"in":[43,109,119],"edge":[44,55],"detection,":[45],"invariant":[46],"feature.":[47],"use":[49,70],"properties":[51],"DOG,":[53],"isotropic":[54],"detect":[56],"sign":[58],"value":[59,79],"background,":[61],"develop":[63],"stroke":[65],"over":[66],"scale.":[67],"Then":[68],"we":[69,89,99],"dynamic":[72],"threshold":[73,78],"static":[77],"noise":[84],"region.":[85],"After":[86],"morphology":[87],"process,":[88],"can":[90],"text":[93],"as":[94],"regions.":[95],"In":[96],"result":[97],"part":[98],"test":[100],"our":[101,114],"DIBCO,":[104],"ICDAR,":[105],"license":[107],"plate":[108],"real":[110],"scene":[111],"prove":[113],"have":[116],"more":[117],"robust":[118],"harsh":[120],"environment.":[121]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
