{"id":"https://openalex.org/W2069323223","doi":"https://doi.org/10.1109/icsmc.2011.6084147","title":"New edge detection algorithms using alpha weighted quadratic filter","display_name":"New edge detection algorithms using alpha weighted quadratic filter","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2069323223","doi":"https://doi.org/10.1109/icsmc.2011.6084147","mag":"2069323223"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2011.6084147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2011.6084147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 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/A5005759434","display_name":"Chen Gao","orcid":"https://orcid.org/0000-0001-8700-1409"},"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":"Chen Gao","raw_affiliation_strings":["Electrical and Computer Engineering Department, Tufts University, Medford, MA, USA","Electrical and Computer Engineering Department, Tufts University, Medford, MA, 02155, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, Tufts University, Medford, MA, 02155, 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":["Electrical and Computer Engineering Department, Tufts University, Medford, MA, USA","Electrical and Computer Engineering Department, Tufts University, Medford, MA, 02155, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Tufts University, Medford, MA, USA","institution_ids":["https://openalex.org/I121934306"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, Tufts University, Medford, MA, 02155, 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 Agaian","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of Texas, San Antonio, San Antonio, TX, USA","Electrical and Computer Engineering Department, University of Texas at San Antonio, 78249, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Texas, San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Texas at San Antonio, 78249, 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":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3167","last_page":"3172"},"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":0.9973000288009644,"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":0.9973000288009644,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9952999949455261,"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":0.995199978351593,"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/edge-detection","display_name":"Edge detection","score":0.6851692795753479},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6691070795059204},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.6246291995048523},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6211592555046082},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.6111922860145569},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5775442123413086},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.5500187873840332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.54869145154953},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5460016131401062},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4986748695373535},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.49310752749443054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4889015257358551},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4255402088165283},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41225191950798035},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3457140326499939},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32492053508758545},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.30147093534469604}],"concepts":[{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.6851692795753479},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6691070795059204},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.6246291995048523},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6211592555046082},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.6111922860145569},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5775442123413086},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.5500187873840332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.54869145154953},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5460016131401062},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4986748695373535},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.49310752749443054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4889015257358551},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4255402088165283},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41225191950798035},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3457140326499939},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32492053508758545},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30147093534469604},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2011.6084147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2011.6084147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 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":16,"referenced_works":["https://openalex.org/W1499677203","https://openalex.org/W1566802437","https://openalex.org/W1964019143","https://openalex.org/W2023498931","https://openalex.org/W2064419720","https://openalex.org/W2117522983","https://openalex.org/W2137957930","https://openalex.org/W2144854495","https://openalex.org/W2145023731","https://openalex.org/W2170629678","https://openalex.org/W2902600303","https://openalex.org/W4285719527","https://openalex.org/W6629644485","https://openalex.org/W6666313621","https://openalex.org/W6685030693","https://openalex.org/W6701913081"],"related_works":["https://openalex.org/W1990245967","https://openalex.org/W2054177013","https://openalex.org/W4383506493","https://openalex.org/W1994772959","https://openalex.org/W2427340667","https://openalex.org/W2136398500","https://openalex.org/W2600517000","https://openalex.org/W4377104339","https://openalex.org/W2032638424","https://openalex.org/W2100774114"],"abstract_inverted_index":{"In":[0],"this":[1,21],"paper,":[2],"we":[3],"introduce":[4],"two":[5],"novel":[6],"edge":[7,41,45,92,104,118],"detection":[8,46],"algorithms":[9,56,100,134],"based":[10],"on":[11,58],"a":[12],"negative":[13],"alpha":[14],"weighted":[15],"quadratic":[16],"filter.":[17],"The":[18],"goal":[19],"of":[20,28,40,66,81],"work":[22],"is":[23],"to":[24,32,123],"utilize":[25],"the":[26,29,38,54,63,71,77,82,88,98,116,124,128],"characteristics":[27],"nonlinear":[30],"filter":[31],"preserve":[33],"and":[34,61,111],"enhance":[35],"edges":[36,50,125],"for":[37],"purpose":[39],"detection.":[42],"Unlike":[43],"traditional":[44],"algorithms,":[47],"which":[48],"detect":[49],"by":[51,86,109,113,127],"using":[52],"derivatives,":[53],"proposed":[55,99],"operate":[57],"local":[59],"regions":[60,68],"modify":[62],"color":[64],"tones":[65],"uniform":[67],"while":[69],"preserving":[70],"original":[72],"edges.":[73],"We":[74],"also":[75,137],"incorporate":[76],"luminance":[78],"masking":[79,87],"feature":[80],"Human":[83],"Visual":[84],"System":[85],"gradient":[89],"image":[90],"before":[91],"labeling.":[93],"Experimental":[94],"simulations":[95],"show":[96],"that":[97],"can":[101],"extract":[102],"fine":[103],"information":[105],"from":[106],"images":[107],"contaminated":[108],"noise":[110],"affected":[112],"non-uniform":[114],"illumination;":[115],"obtained":[117],"maps":[119],"are":[120],"more":[121],"consistent":[122],"perceived":[126],"human":[129],"eye.":[130],"Comparison":[131],"with":[132],"existing":[133],"will":[135],"be":[136],"presented.":[138]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}