{"id":"https://openalex.org/W3142473889","doi":"https://doi.org/10.1109/icsmc.2007.4413843","title":"Logarithmic edge detection with applications","display_name":"Logarithmic edge detection with applications","publication_year":2007,"publication_date":"2007-10-01","ids":{"openalex":"https://openalex.org/W3142473889","doi":"https://doi.org/10.1109/icsmc.2007.4413843","mag":"3142473889"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2007.4413843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2007.4413843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Systems, Man and Cybernetics","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/A5048674657","display_name":"E. J. Wharton","orcid":null},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric J. Wharton","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069074343","display_name":"Karen Panetta","orcid":"https://orcid.org/0000-0001-9435-4536"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karen Panetta","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048285657","display_name":"Sos \u0421. Agaian","orcid":"https://orcid.org/0000-0003-4601-4507"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sos S. Agaian","raw_affiliation_strings":["College of Engineering, University of Texas, San Antonio, San Antonio, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, University of Texas, San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0512,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.78062919,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"16","issue":null,"first_page":"3346","last_page":"3351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9994000196456909,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9994000196456909,"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":0.9987999796867371,"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":0.9987999796867371,"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/sobel-operator","display_name":"Sobel operator","score":0.8021349906921387},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.7830249667167664},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.7776235342025757},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.6971975564956665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6745311617851257},{"id":"https://openalex.org/keywords/deriche-edge-detector","display_name":"Deriche edge detector","score":0.6538546085357666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6418392062187195},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6128026247024536},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6085654497146606},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5568535923957825},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5272176265716553},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.4773688018321991},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4735086262226105},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46148911118507385},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.45106369256973267},{"id":"https://openalex.org/keywords/figure-of-merit","display_name":"Figure of merit","score":0.43067246675491333},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38108325004577637},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2810368537902832},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23497962951660156},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.07186967134475708},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.05832156538963318}],"concepts":[{"id":"https://openalex.org/C30703548","wikidata":"https://www.wikidata.org/wiki/Q1757673","display_name":"Sobel operator","level":5,"score":0.8021349906921387},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.7830249667167664},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.7776235342025757},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.6971975564956665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6745311617851257},{"id":"https://openalex.org/C167074055","wikidata":"https://www.wikidata.org/wiki/Q5262565","display_name":"Deriche edge detector","level":5,"score":0.6538546085357666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6418392062187195},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6128026247024536},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6085654497146606},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5568535923957825},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5272176265716553},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.4773688018321991},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4735086262226105},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46148911118507385},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.45106369256973267},{"id":"https://openalex.org/C130277099","wikidata":"https://www.wikidata.org/wiki/Q3676605","display_name":"Figure of merit","level":2,"score":0.43067246675491333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38108325004577637},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2810368537902832},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23497962951660156},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.07186967134475708},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05832156538963318},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2007.4413843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2007.4413843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Systems, Man and Cybernetics","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":18,"referenced_works":["https://openalex.org/W965694222","https://openalex.org/W1996773532","https://openalex.org/W2030120195","https://openalex.org/W2053892217","https://openalex.org/W2076293758","https://openalex.org/W2078085827","https://openalex.org/W2106097225","https://openalex.org/W2106598803","https://openalex.org/W2113511941","https://openalex.org/W2125732958","https://openalex.org/W2129829008","https://openalex.org/W2143333213","https://openalex.org/W2145023731","https://openalex.org/W2169894018","https://openalex.org/W2171369032","https://openalex.org/W4236844765","https://openalex.org/W4242327339","https://openalex.org/W6679032197"],"related_works":["https://openalex.org/W2780933376","https://openalex.org/W4312567938","https://openalex.org/W3092835544","https://openalex.org/W2318773630","https://openalex.org/W2157949623","https://openalex.org/W2392698940","https://openalex.org/W2360586769","https://openalex.org/W2354100707","https://openalex.org/W1967001075","https://openalex.org/W2367365714"],"abstract_inverted_index":{"In":[0,32],"real":[1],"world":[2],"machine":[3],"vision":[4],"problems,":[5],"issues":[6],"such":[7,72],"as":[8,73,120],"noise":[9,51],"and":[10,16,50,60,75],"variable":[11],"scene":[12,48],"illumination":[13,49],"make":[14],"edge":[15,24,39,69,112],"object":[17],"detection":[18,25,40,70,113],"difficult.":[19],"There":[20],"exists":[21],"no":[22],"universal":[23],"method":[26],"which":[27],"works":[28],"under":[29],"all":[30],"conditions.":[31],"this":[33,58,111],"paper,":[34],"we":[35,83],"propose":[36],"a":[37,44],"logarithmic":[38],"method.":[41],"This":[42],"achieves":[43],"higher":[45],"level":[46],"of":[47,63,81,87,94,110],"independence.":[52],"We":[53,89],"present":[54],"experimental":[55],"results":[56,62,115],"for":[57],"method,":[59],"compare":[61],"the":[64,92,95,108,123],"algorithm":[65,96,114],"against":[66],"several":[67],"leading":[68],"methods,":[71],"Sobel":[74],"Canny.":[76],"For":[77],"an":[78],"objective":[79],"basis":[80],"comparison,":[82],"use":[84,109],"Pratt's":[85],"Figure":[86],"Merit.":[88],"further":[90],"demonstrate":[91],"application":[93],"in":[97,116],"conjunction":[98],"with":[99],"Edge":[100],"Detection":[101],"based":[102],"Image":[103],"Enhancement":[104],"(EDIE),":[105],"showing":[106],"that":[107],"better":[117],"image":[118],"enhancement,":[119],"quantified":[121],"by":[122],"Logarithmic":[124],"AME":[125],"measure.":[126]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
