{"id":"https://openalex.org/W2152122234","doi":"https://doi.org/10.1109/isda.2010.5687242","title":"Image edge detection method based on a simplified PCNN model with anisotropic linking mechanism","display_name":"Image edge detection method based on a simplified PCNN model with anisotropic linking mechanism","publication_year":2010,"publication_date":"2010-11-01","ids":{"openalex":"https://openalex.org/W2152122234","doi":"https://doi.org/10.1109/isda.2010.5687242","mag":"2152122234"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2010.5687242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2010.5687242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 10th International Conference on Intelligent Systems Design and Applications","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/A5086314063","display_name":"Zhan Shi","orcid":"https://orcid.org/0000-0002-7798-1121"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhan Shi","raw_affiliation_strings":["Graduate School of Information System and Production, Waseda University, Kitakyushu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information System and Production, Waseda University, Kitakyushu, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100326923","display_name":"Jinglu Hu","orcid":"https://orcid.org/0000-0002-5601-7261"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jinglu Hu","raw_affiliation_strings":["Graduate School of Information System and Production, Waseda University, Kitakyushu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information System and Production, Waseda University, Kitakyushu, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"330","last_page":"335"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9837999939918518,"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/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.723882794380188},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.7232531309127808},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6454111337661743},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.59135502576828},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5602157711982727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.543609619140625},{"id":"https://openalex.org/keywords/interconnection","display_name":"Interconnection","score":0.5412923097610474},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5192920565605164},{"id":"https://openalex.org/keywords/deriche-edge-detector","display_name":"Deriche edge detector","score":0.48009374737739563},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.47962650656700134},{"id":"https://openalex.org/keywords/edge-enhancement","display_name":"Edge enhancement","score":0.47294092178344727},{"id":"https://openalex.org/keywords/anisotropy","display_name":"Anisotropy","score":0.4679970145225525},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4646928012371063},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4638718366622925},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44273674488067627},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.26376402378082275},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.14309459924697876},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13674631714820862},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06741824746131897}],"concepts":[{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.723882794380188},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.7232531309127808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6454111337661743},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.59135502576828},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5602157711982727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.543609619140625},{"id":"https://openalex.org/C123745756","wikidata":"https://www.wikidata.org/wiki/Q1665949","display_name":"Interconnection","level":2,"score":0.5412923097610474},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5192920565605164},{"id":"https://openalex.org/C167074055","wikidata":"https://www.wikidata.org/wiki/Q5262565","display_name":"Deriche edge detector","level":5,"score":0.48009374737739563},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.47962650656700134},{"id":"https://openalex.org/C30108884","wikidata":"https://www.wikidata.org/wiki/Q1242761","display_name":"Edge enhancement","level":4,"score":0.47294092178344727},{"id":"https://openalex.org/C85725439","wikidata":"https://www.wikidata.org/wiki/Q466686","display_name":"Anisotropy","level":2,"score":0.4679970145225525},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4646928012371063},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4638718366622925},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44273674488067627},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26376402378082275},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.14309459924697876},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13674631714820862},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06741824746131897},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isda.2010.5687242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2010.5687242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 10th International Conference on Intelligent Systems Design and Applications","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":14,"referenced_works":["https://openalex.org/W1528733273","https://openalex.org/W1858525573","https://openalex.org/W1991819895","https://openalex.org/W2000532519","https://openalex.org/W2020570130","https://openalex.org/W2032843526","https://openalex.org/W2119940422","https://openalex.org/W2145023731","https://openalex.org/W2149959126","https://openalex.org/W2151979548","https://openalex.org/W2163897068","https://openalex.org/W2167566599","https://openalex.org/W3023411394","https://openalex.org/W4285719527"],"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/W2123172162","https://openalex.org/W1497231902"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,11],"novel":[4],"image":[5,111,122],"edge":[6,53,79,88,112,123],"detection":[7,89],"method":[8],"based":[9],"on":[10],"simplified":[12],"pulse":[13],"coupled":[14],"neural":[15],"network":[16],"with":[17,85],"anisotropic":[18,24,30,43],"interconnections":[19],"(PCNNAI)":[20],"by":[21,74],"applying":[22],"an":[23,35],"linking":[25,31],"mechanism.":[26],"PCNNAI":[27,91,102,118],"utilizes":[28],"the":[29,42,49,66,69,93,97,109],"mechanism":[32],"to":[33,40,52,65],"create":[34],"adaptive":[36],"synaptic":[37],"weight":[38],"matrix":[39],"achieve":[41],"interconnection":[44],"model":[45],"among":[46],"neurons.":[47,83],"Therefore,":[48],"neurons":[50,80],"corresponding":[51],"and":[54,81,96],"non-edge":[55,82],"pixels":[56],"will":[57,71],"receive":[58],"different":[59,75],"feedback":[60],"signal":[61],"from":[62],"neighborhood.":[63],"Due":[64],"PCNN":[67,87],"structure":[68,95],"edges":[70],"be":[72],"detected":[73],"internal":[76],"activity":[77],"of":[78],"Comparing":[84],"conventional":[86],"methods,":[90],"simplifies":[92],"system":[94],"outputs":[98],"are":[99],"controllable,":[100],"meanwhile":[101],"also":[103],"achieves":[104],"more":[105],"accurate":[106],"results":[107,115],"than":[108],"classical":[110],"detectors.":[113],"Experimental":[114],"show":[116],"that":[117],"is":[119],"effective":[120],"at":[121],"detection.":[124]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}