{"id":"https://openalex.org/W2081455699","doi":"https://doi.org/10.1109/socpar.2013.7054137","title":"Generalized antisymmetric filters for edge detection","display_name":"Generalized antisymmetric filters for edge detection","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2081455699","doi":"https://doi.org/10.1109/socpar.2013.7054137","mag":"2081455699"},"language":"en","primary_location":{"id":"doi:10.1109/socpar.2013.7054137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socpar.2013.7054137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)","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/A5086719246","display_name":"Nicol\u00e1s Madrid","orcid":"https://orcid.org/0000-0001-8111-1017"},"institutions":[{"id":"https://openalex.org/I187293425","display_name":"University of Ostrava","ror":"https://ror.org/00pyqav47","country_code":"CZ","type":"education","lineage":["https://openalex.org/I187293425"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Nicolas Madrid","raw_affiliation_strings":["Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, Ostrava, Czech Republic","Institute for Research and Applications of Fuzzy Modeling, University of Ostrava , Ostrava , Czech Republic"],"affiliations":[{"raw_affiliation_string":"Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, Ostrava, Czech Republic","institution_ids":["https://openalex.org/I187293425"]},{"raw_affiliation_string":"Institute for Research and Applications of Fuzzy Modeling, University of Ostrava , Ostrava , Czech Republic","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056125713","display_name":"Carlos L\u00f3pez-Molina","orcid":"https://orcid.org/0000-0002-0904-9834"},"institutions":[{"id":"https://openalex.org/I175051016","display_name":"Universidad Publica de Navarra","ror":"https://ror.org/02z0cah89","country_code":"ES","type":"education","lineage":["https://openalex.org/I175051016"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Carlos Lopez-Molina","raw_affiliation_strings":["Dpto. Automatica y Computacion, Universidad Publica de Navarra, Pamplona, Spain","Dpto. Automatica y Computacion, Universidad Publica de Navarra, Pamplona, Spain#TAB#"],"affiliations":[{"raw_affiliation_string":"Dpto. Automatica y Computacion, Universidad Publica de Navarra, Pamplona, Spain","institution_ids":["https://openalex.org/I175051016"]},{"raw_affiliation_string":"Dpto. Automatica y Computacion, Universidad Publica de Navarra, Pamplona, Spain#TAB#","institution_ids":["https://openalex.org/I175051016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012437460","display_name":"Bernard De Baets","orcid":"https://orcid.org/0000-0002-3876-620X"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Bernard De Baets","raw_affiliation_strings":["Dept. of Mathematical Modeling, Statistics and Bioinformatics, Ghent University, Gent, Belgium"],"affiliations":[{"raw_affiliation_string":"Dept. of Mathematical Modeling, Statistics and Bioinformatics, Ghent University, Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086719246"],"corresponding_institution_ids":["https://openalex.org/I187293425"],"apc_list":null,"apc_paid":null,"fwci":0.5443,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71400377,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"25","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9988999962806702,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9950000047683716,"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/antisymmetric-relation","display_name":"Antisymmetric relation","score":0.9020559787750244},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.7258164286613464},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6156054735183716},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6100533604621887},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5304177403450012},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4348805546760559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4061664342880249},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2852288484573364},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1615574061870575},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1431344449520111}],"concepts":[{"id":"https://openalex.org/C152401794","wikidata":"https://www.wikidata.org/wiki/Q583760","display_name":"Antisymmetric relation","level":2,"score":0.9020559787750244},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.7258164286613464},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6156054735183716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6100533604621887},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5304177403450012},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4348805546760559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4061664342880249},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2852288484573364},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1615574061870575},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1431344449520111},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/socpar.2013.7054137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socpar.2013.7054137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:8553648","is_oa":false,"landing_page_url":"https://biblio.ugent.be/publication/8553648","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2013 International conference of Soft Computing and Pattern Recognition (SoCPaR)","raw_type":"conference"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1495971627","https://openalex.org/W1756736144","https://openalex.org/W1968245656","https://openalex.org/W1990773344","https://openalex.org/W1995194116","https://openalex.org/W1996070955","https://openalex.org/W1996111510","https://openalex.org/W2003370853","https://openalex.org/W2009682198","https://openalex.org/W2023578721","https://openalex.org/W2039041067","https://openalex.org/W2056011345","https://openalex.org/W2067191022","https://openalex.org/W2068233430","https://openalex.org/W2099244020","https://openalex.org/W2106358064","https://openalex.org/W2108729336","https://openalex.org/W2109200236","https://openalex.org/W2109863423","https://openalex.org/W2109991658","https://openalex.org/W2113511941","https://openalex.org/W2116216752","https://openalex.org/W2119075125","https://openalex.org/W2119823327","https://openalex.org/W2121653266","https://openalex.org/W2121927366","https://openalex.org/W2145023731","https://openalex.org/W2145323086","https://openalex.org/W2150134853","https://openalex.org/W2155487652","https://openalex.org/W2168896212","https://openalex.org/W6637872014","https://openalex.org/W6676449312","https://openalex.org/W6676598158","https://openalex.org/W6683148741"],"related_works":["https://openalex.org/W1968494762","https://openalex.org/W2527696949","https://openalex.org/W2075821346","https://openalex.org/W2385749544","https://openalex.org/W2046907195","https://openalex.org/W2095817824","https://openalex.org/W115686965","https://openalex.org/W2768918307","https://openalex.org/W3196557860","https://openalex.org/W1927539372"],"abstract_inverted_index":{"A":[0,24],"large":[1],"number":[2],"of":[3,22,27,51,93],"filters":[4,29,45],"has":[5],"been":[6],"proposed":[7],"to":[8,34,42,59,64,89],"compute":[9],"local":[10],"gradients":[11],"in":[12],"grayscale":[13],"images,":[14],"usually":[15],"having":[16],"as":[17,75,77],"goal":[18],"the":[19,35,52,67,72,91],"adequate":[20],"characterization":[21],"edges.":[23],"significant":[25],"portion":[26],"such":[28],"are":[30],"antisymmetric":[31],"with":[32],"respect":[33],"origin.":[36],"In":[37],"this":[38],"work":[39],"we":[40,57],"propose":[41,58],"generalize":[43],"those":[44],"by":[46],"incorporating":[47],"an":[48],"explicit":[49],"evaluation":[50],"tonal":[53,68],"difference.":[54],"More":[55],"specifically,":[56],"apply":[60],"restricted":[61],"dissimilarity":[62],"functions":[63],"appropriately":[65],"measure":[66],"differences.":[69],"We":[70],"present":[71],"mathematical":[73],"developments,":[74],"well":[76],"quantitative":[78],"experiments":[79],"that":[80,82],"indicate":[81],"our":[83],"proposal":[84],"offers":[85],"a":[86],"clear":[87],"option":[88],"improve":[90],"performance":[92],"classical":[94],"edge":[95],"detection":[96],"filters.":[97]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
