{"id":"https://openalex.org/W2938628728","doi":"https://doi.org/10.1145/3314527.3314544","title":"Edge Detection using CNN for Roof Images","display_name":"Edge Detection using CNN for Roof Images","publication_year":2019,"publication_date":"2019-01-25","ids":{"openalex":"https://openalex.org/W2938628728","doi":"https://doi.org/10.1145/3314527.3314544","mag":"2938628728"},"language":"en","primary_location":{"id":"doi:10.1145/3314527.3314544","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3314527.3314544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Asia Pacific Information Technology Conference","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/A5028218803","display_name":"Aneeqa Ahmed","orcid":null},"institutions":[{"id":"https://openalex.org/I83202590","display_name":"Jeju National University","ror":"https://ror.org/05hnb4n85","country_code":"KR","type":"education","lineage":["https://openalex.org/I83202590"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Aneeqa Ahmed","raw_affiliation_strings":["Department of Computer Engineering, Jeju National University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Jeju National University, Republic of Korea","institution_ids":["https://openalex.org/I83202590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110809957","display_name":"Yung-Cheol Byun","orcid":"https://orcid.org/0000-0003-1107-9941"},"institutions":[{"id":"https://openalex.org/I83202590","display_name":"Jeju National University","ror":"https://ror.org/05hnb4n85","country_code":"KR","type":"education","lineage":["https://openalex.org/I83202590"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yung-Cheol Byun","raw_affiliation_strings":["Department of Computer Engineering, Jeju National University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Jeju National University, Republic of Korea","institution_ids":["https://openalex.org/I83202590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028218803"],"corresponding_institution_ids":["https://openalex.org/I83202590"],"apc_list":null,"apc_paid":null,"fwci":0.6526,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75216529,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"75","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.8597000241279602,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.8597000241279602,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.8148000240325928,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.8129000067710876,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.8179987668991089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7304436564445496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6275904178619385},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6232939958572388},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6201528906822205},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.6179527044296265},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.617514431476593},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5745043158531189},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.4807169735431671},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3515147566795349}],"concepts":[{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.8179987668991089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7304436564445496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6275904178619385},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6232939958572388},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6201528906822205},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.6179527044296265},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.617514431476593},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5745043158531189},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.4807169735431671},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3515147566795349}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3314527.3314544","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3314527.3314544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Asia Pacific Information Technology Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321191","display_name":"Jeju National University","ror":"https://ror.org/05hnb4n85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1966992150","https://openalex.org/W2183519733","https://openalex.org/W2488907440","https://openalex.org/W2593390416","https://openalex.org/W2907097116"],"related_works":["https://openalex.org/W2739273756","https://openalex.org/W2387510934","https://openalex.org/W4283806690","https://openalex.org/W4281937456","https://openalex.org/W4312567938","https://openalex.org/W2545065926","https://openalex.org/W2356242818","https://openalex.org/W2348584852","https://openalex.org/W2545393398","https://openalex.org/W3169126738"],"abstract_inverted_index":{"In":[0],"image":[1],"processing":[2,41,81,104],"detection":[3,29,36,46,67,98,109,161],"of":[4,22,30,50,59,68,71,125,143,150,157,167],"edges":[5,89],"is":[6,136,163],"a":[7],"very":[8],"significant":[9],"phenomenon":[10],"as":[11,25,134],"it":[12],"finds":[13],"its":[14],"utility":[15],"in":[16,53,83,93,122,139,147,153,176],"multiple":[17],"applications":[18,95],"from":[19],"different":[20],"areas":[21],"life":[23],"such":[24],"security,":[26],"video":[27],"surveillance,":[28],"various":[31,79],"diseases,":[32],"text":[33],"detection,":[34],"vehicle":[35],"and":[37,116],"many":[38],"more.":[39],"Image":[40,103],"based":[42,105,112],"techniques":[43,75],"for":[44,107],"edge":[45,62,108,160],"usually":[47],"requires":[48],"preprocessing":[49],"the":[51,57,66,72,87,123,140,148,155,158],"images":[52,144],"order":[54,84],"to":[55,77,85,90],"reduce":[56],"quantity":[58],"noise":[60,130,151],"before":[61],"detection.":[63],"Even":[64],"after":[65],"edges,":[69],"most":[70],"times":[73],"these":[74],"have":[76],"involve":[78],"post":[80],"steps":[82],"generate":[86],"fine":[88],"be":[91],"used":[92],"concerned":[94],"like":[96],"tumor":[97],"or":[99,129,145],"critical":[100],"security":[101],"applications.":[102],"algorithms":[106,162],"are":[110,119],"conventionally":[111],"on":[113],"gradient":[114],"filters":[115],"generally":[117],"they":[118],"not":[120],"reliable":[121],"case":[124],"variable":[126],"illumination":[127,141],"conditions":[128,142],"deviations.":[131],"As":[132],"soon":[133],"there":[135],"any":[137],"variation":[138],"change":[146],"percentage":[149],"element":[152],"images,":[154],"efficiency":[156],"traditional":[159],"affected":[164],"badly":[165],"because":[166],"increased":[168,172],"mask":[169,173],"size.":[170],"This":[171],"also":[174],"results":[175],"additional":[177],"computational":[178],"load.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}