{"id":"https://openalex.org/W1997276419","doi":"https://doi.org/10.1109/grc.2009.5255147","title":"An algorithm for image edge detection using improved PCNN","display_name":"An algorithm for image edge detection using improved PCNN","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W1997276419","doi":"https://doi.org/10.1109/grc.2009.5255147","mag":"1997276419"},"language":"en","primary_location":{"id":"doi:10.1109/grc.2009.5255147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2009.5255147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Granular Computing","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/A5036664258","display_name":"Di Lan","orcid":"https://orcid.org/0000-0001-8570-4450"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lan Di","raw_affiliation_strings":["School of Information Technology, Jiangnan University, Wuxi, China","School of Information Technology, Jiangnan University, Wuxi 214122, China#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Information Technology, Jiangnan University, Wuxi 214122, China#TAB#","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101825467","display_name":"Yi Lin","orcid":"https://orcid.org/0000-0003-3555-3257"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Lin","raw_affiliation_strings":["School of Information Technology, Jiangnan University, Wuxi, China","School of Information Technology, Jiangnan University, Wuxi 214122, China#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Information Technology, Jiangnan University, Wuxi 214122, China#TAB#","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418831","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-5641-446X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["School of Computer Science & Technology, Southwest National University, Chengdu, China","School of Computer Science & Technology, Southwest national University, Chengdu 610041, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Southwest National University, Chengdu, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science & Technology, Southwest national University, Chengdu 610041, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036664258"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":0.527,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69036087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"136","last_page":"139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9973999857902527,"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"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9973999857902527,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10320","display_name":"Neural Networks and Applications","score":0.9890999794006348,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7620248198509216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7230492234230042},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6878186464309692},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6838930249214172},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6341564059257507},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6302372217178345},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5930830240249634},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5888228416442871},{"id":"https://openalex.org/keywords/morphological-gradient","display_name":"Morphological gradient","score":0.5543627738952637},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5389356017112732},{"id":"https://openalex.org/keywords/dark-frame-subtraction","display_name":"Dark-frame subtraction","score":0.4503289461135864},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4179028272628784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4152519702911377},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.3627130389213562},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.35912948846817017}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7620248198509216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7230492234230042},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6878186464309692},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6838930249214172},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6341564059257507},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6302372217178345},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5930830240249634},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5888228416442871},{"id":"https://openalex.org/C96133863","wikidata":"https://www.wikidata.org/wiki/Q6913458","display_name":"Morphological gradient","level":5,"score":0.5543627738952637},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5389356017112732},{"id":"https://openalex.org/C1160358","wikidata":"https://www.wikidata.org/wiki/Q861103","display_name":"Dark-frame subtraction","level":5,"score":0.4503289461135864},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4179028272628784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4152519702911377},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3627130389213562},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.35912948846817017}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/grc.2009.5255147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2009.5255147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Granular Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1536729381","https://openalex.org/W2026462610","https://openalex.org/W2073502412","https://openalex.org/W2149959126","https://openalex.org/W2150729352","https://openalex.org/W2373534959"],"related_works":["https://openalex.org/W2093958639","https://openalex.org/W2094739233","https://openalex.org/W2150504945","https://openalex.org/W2370741721","https://openalex.org/W2185039875","https://openalex.org/W3023115644","https://openalex.org/W2008160399","https://openalex.org/W2073518521","https://openalex.org/W2109972144","https://openalex.org/W2116510815"],"abstract_inverted_index":{"A":[0],"calculated":[1],"method":[2,91],"is":[3,92],"proposed":[4],"which":[5,62],"uses":[6,76],"the":[7,12,15,24,31,40,45,48,51,55,64,67,77,80],"region":[8,68],"areas":[9],"to":[10],"modulate":[11],"pulse":[13,78],"of":[14,39,47,79],"corresponding":[16,81],"neurons":[17,82],"in":[18,83],"PCNN.":[19,84],"The":[20,85],"edge":[21,37,52],"detection":[22],"for":[23],"blurred":[25],"Image":[26],"with":[27],"noise":[28,32,56,65],"can":[29],"reduce":[30],"and":[33,54,94],"obtain":[34],"a":[35,60],"precise":[36],"value":[38],"image.":[41],"First,":[42],"based":[43],"on":[44],"analysis":[46],"difference":[49],"between":[50],"pixels":[53],"pixels,":[57],"it":[58,71],"proposes":[59],"method,":[61],"suppresses":[63],"by":[66],"areas.":[69],"Second,":[70],"suggests":[72],"that":[73,89],"image":[74],"segmentation":[75],"experimental":[86],"results":[87],"show":[88],"this":[90],"effective":[93],"feasible.":[95]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
