{"id":"https://openalex.org/W2609911783","doi":"https://doi.org/10.1109/icpr.2016.7899711","title":"Enhancing the runtime of JUDOCA detector","display_name":"Enhancing the runtime of JUDOCA detector","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2609911783","doi":"https://doi.org/10.1109/icpr.2016.7899711","mag":"2609911783"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7899711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5090572320","display_name":"Mohamed Gabr","orcid":"https://orcid.org/0000-0003-3690-9585"},"institutions":[{"id":"https://openalex.org/I96823368","display_name":"German University in Cairo","ror":"https://ror.org/03rjt0z37","country_code":"EG","type":"education","lineage":["https://openalex.org/I96823368"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Mohamed Gabr","raw_affiliation_strings":["Faculty of Media Engineering and Technology, The German University in Cairo, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Faculty of Media Engineering and Technology, The German University in Cairo, Cairo, Egypt","institution_ids":["https://openalex.org/I96823368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072123773","display_name":"Rimon Elias","orcid":"https://orcid.org/0000-0001-6321-096X"},"institutions":[{"id":"https://openalex.org/I96823368","display_name":"German University in Cairo","ror":"https://ror.org/03rjt0z37","country_code":"EG","type":"education","lineage":["https://openalex.org/I96823368"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Rimon Elias","raw_affiliation_strings":["Faculty of Media Engineering and Technology, The German University in Cairo, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Faculty of Media Engineering and Technology, The German University in Cairo, Cairo, Egypt","institution_ids":["https://openalex.org/I96823368"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090572320"],"corresponding_institution_ids":["https://openalex.org/I96823368"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20385319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"669","last_page":"674"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9984999895095825,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9901000261306763,"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/pixel","display_name":"Pixel","score":0.7802180051803589},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.7666541337966919},{"id":"https://openalex.org/keywords/traverse","display_name":"Traverse","score":0.7614189982414246},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7160367369651794},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7114574909210205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6897695064544678},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.617622971534729},{"id":"https://openalex.org/keywords/deriche-edge-detector","display_name":"Deriche edge detector","score":0.5269537568092346},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5068910717964172},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.4734192490577698},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4655478894710541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44172781705856323},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4324303865432739},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2689417898654938},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24856498837471008},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19062837958335876},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12226635217666626},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06388989090919495}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7802180051803589},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.7666541337966919},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.7614189982414246},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7160367369651794},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7114574909210205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6897695064544678},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.617622971534729},{"id":"https://openalex.org/C167074055","wikidata":"https://www.wikidata.org/wiki/Q5262565","display_name":"Deriche edge detector","level":5,"score":0.5269537568092346},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5068910717964172},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.4734192490577698},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4655478894710541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44172781705856323},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4324303865432739},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2689417898654938},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24856498837471008},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19062837958335876},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12226635217666626},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06388989090919495},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2016.7899711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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":16,"referenced_works":["https://openalex.org/W228564586","https://openalex.org/W1539916211","https://openalex.org/W1604766291","https://openalex.org/W1970083263","https://openalex.org/W2084048840","https://openalex.org/W2093475984","https://openalex.org/W2099046646","https://openalex.org/W2105524282","https://openalex.org/W2111308925","https://openalex.org/W2144645463","https://openalex.org/W2151103935","https://openalex.org/W2167903747","https://openalex.org/W2171330332","https://openalex.org/W2528646345","https://openalex.org/W4248744352","https://openalex.org/W6635826704"],"related_works":["https://openalex.org/W2545065926","https://openalex.org/W3093839383","https://openalex.org/W1994279415","https://openalex.org/W2015446345","https://openalex.org/W2980082320","https://openalex.org/W2056066761","https://openalex.org/W2185255929","https://openalex.org/W2150787373","https://openalex.org/W2374599874","https://openalex.org/W3169126738"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"two":[3],"enhancement":[4,20,90],"methods":[5],"are":[6,83],"proposed":[7],"to":[8,94],"speed":[9],"up":[10],"junction":[11,26],"detection":[12],"performed":[13],"by":[14,38,73],"the":[15,23,30,46,60,64,70,81],"JUDOCA":[16],"detector.":[17],"The":[18,54],"first":[19],"method":[21,56],"minimizes":[22],"number":[24],"of":[25,62,68,92,104],"candidates":[27],"on":[28,58],"which":[29],"circular":[31],"kernel":[32],"is":[33,36],"applied.":[34],"This":[35],"achieved":[37],"introducing":[39],"a":[40,102],"suppression":[41],"technique":[42],"that":[43,88],"takes":[44],"both":[45,106],"thin":[47],"and":[48],"thick":[49],"edge":[50,65,71,82],"images":[51],"into":[52],"consideration.":[53],"second":[55],"works":[57],"relaxing":[59],"step":[61],"checking":[63],"continuity.":[66],"Instead":[67],"traversing":[69],"pixel":[72],"pixel,":[74],"using":[75],"Bresenham's":[76],"algorithm,":[77],"sample":[78],"pixels":[79],"along":[80],"considered.":[84],"Test":[85],"results":[86],"show":[87],"an":[89],"factor":[91],"62%":[93],"75%":[95],"in":[96],"runtime":[97],"can":[98],"be":[99],"reached":[100],"as":[101],"result":[103],"applying":[105],"enhancements.":[107]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
