{"id":"https://openalex.org/W2015727104","doi":"https://doi.org/10.1109/siu.2014.6830558","title":"A novel multi-scale and multi-expert edge detection method based on common vector approach","display_name":"A novel multi-scale and multi-expert edge detection method based on common vector approach","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2015727104","doi":"https://doi.org/10.1109/siu.2014.6830558","mag":"2015727104"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2014.6830558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2014.6830558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","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/A5046578097","display_name":"\u015eahin I\u015f\u0131k","orcid":"https://orcid.org/0000-0003-1768-7104"},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Sahin Isik","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc Eski\u015fehir Osmangazi \u00dcniversitesi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc Eski\u015fehir Osmangazi \u00dcniversitesi","institution_ids":["https://openalex.org/I51209816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022999248","display_name":"Kemal \u00d6zkan","orcid":"https://orcid.org/0000-0003-2252-2128"},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Kemal Ozkan","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc Eski\u015fehir Osmangazi \u00dcniversitesi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc Eski\u015fehir Osmangazi \u00dcniversitesi","institution_ids":["https://openalex.org/I51209816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I51209816"],"apc_list":null,"apc_paid":null,"fwci":0.1798,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42190735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"75","issue":null,"first_page":"1630","last_page":"1633"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","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/T10052","display_name":"Medical Image Segmentation Techniques","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/T12549","display_name":"Image and Object Detection Techniques","score":0.9990000128746033,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.7666260004043579},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6638615131378174},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6606848239898682},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6371189951896667},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5643254518508911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5487653613090515},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.5252437591552734},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5207538604736328},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4619375467300415},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4578896462917328},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.4566156268119812},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43644189834594727},{"id":"https://openalex.org/keywords/interest-point-detection","display_name":"Interest point detection","score":0.4184260666370392},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3249337077140808},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31617459654808044}],"concepts":[{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.7666260004043579},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6638615131378174},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6606848239898682},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6371189951896667},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5643254518508911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5487653613090515},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.5252437591552734},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5207538604736328},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4619375467300415},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4578896462917328},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.4566156268119812},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43644189834594727},{"id":"https://openalex.org/C38785706","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Interest point detection","level":5,"score":0.4184260666370392},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3249337077140808},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31617459654808044},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2014.6830558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2014.6830558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","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/W2002476439","https://openalex.org/W2010814572","https://openalex.org/W2038608380","https://openalex.org/W2046925174","https://openalex.org/W2062432103","https://openalex.org/W2086936347","https://openalex.org/W2100616526","https://openalex.org/W2104564430","https://openalex.org/W2109863423","https://openalex.org/W2130491779","https://openalex.org/W2145023731","https://openalex.org/W2155487652","https://openalex.org/W2171536163","https://openalex.org/W2296297488","https://openalex.org/W6676598158"],"related_works":["https://openalex.org/W2545065926","https://openalex.org/W2387510934","https://openalex.org/W3169126738","https://openalex.org/W3093839383","https://openalex.org/W2056066761","https://openalex.org/W2305304842","https://openalex.org/W2130933797","https://openalex.org/W4313525844","https://openalex.org/W2383691328","https://openalex.org/W4318002970"],"abstract_inverted_index":{"Edge":[0],"detection":[1,13,38],"is":[2],"most":[3],"popular":[4],"problem":[5],"in":[6,42,55,63],"image":[7],"analysis.":[8],"To":[9],"develop":[10],"an":[11],"edge":[12,37,74,92],"method":[14],"that":[15,34,94],"has":[16],"efficient":[17],"computation":[18],"time,":[19],"sensing":[20],"to":[21,57,99],"noise":[22],"as":[23],"minimum":[24],"level":[25],"and":[26,49,90,97],"extracting":[27],"meaningful":[28,61],"edges":[29,62],"from":[30,77],"the":[31,73,84,100],"image,":[32],"so":[33],"many":[35],"crowded":[36],"algorithms":[39],"have":[40,71],"emerged":[41],"this":[43,68],"area.":[44],"The":[45],"different":[46,51,81],"derivative":[47],"operators":[48,79],"possible":[50],"scales":[52,82],"are":[53],"needed":[54],"order":[56],"properly":[58],"determine":[59],"all":[60],"a":[64],"processed":[65],"image.":[66],"In":[67],"work,":[69],"we":[70],"combined":[72],"information":[75],"obatined":[76],"each":[78],"at":[80],"with":[83],"comcept":[85],"of":[86],"common":[87],"vector":[88],"apprach":[89],"obtained":[91],"segments":[93],"connected,":[95],"thin":[96],"robust":[98],"noise.":[101]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}