{"id":"https://openalex.org/W4380607172","doi":"https://doi.org/10.1109/tcds.2023.3285909","title":"A Contour Detection Method Based on the Projective Coding Model of the Visual Cortex Information Flow","display_name":"A Contour Detection Method Based on the Projective Coding Model of the Visual Cortex Information Flow","publication_year":2023,"publication_date":"2023-06-14","ids":{"openalex":"https://openalex.org/W4380607172","doi":"https://doi.org/10.1109/tcds.2023.3285909"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2023.3285909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2023.3285909","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive and Developmental Systems","raw_type":"journal-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/A5025432764","display_name":"Zhefei Cai","orcid":"https://orcid.org/0000-0001-6248-3026"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhefei Cai","raw_affiliation_strings":["Laboratory of Pattern Recognition and Image Processing, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Pattern Recognition and Image Processing, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101953712","display_name":"Rui Yang","orcid":"https://orcid.org/0000-0002-6488-6985"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Yang","raw_affiliation_strings":["Laboratory of Pattern Recognition and Image Processing, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Pattern Recognition and Image Processing, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036255192","display_name":"Yingle Fan","orcid":"https://orcid.org/0000-0002-7478-9687"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingle Fan","raw_affiliation_strings":["Laboratory of Pattern Recognition and Image Processing, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Pattern Recognition and Image Processing, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100770625","display_name":"Wei Wu","orcid":"https://orcid.org/0000-0001-8232-3564"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wu","raw_affiliation_strings":["Laboratory of Pattern Recognition and Image Processing, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Pattern Recognition and Image Processing, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025432764"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.7408,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72160288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"16","issue":"2","first_page":"660","last_page":"670"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9907000064849854,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9907000064849854,"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":0.98580002784729,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9833999872207642,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8239402770996094},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5971385836601257},{"id":"https://openalex.org/keywords/visual-cortex","display_name":"Visual cortex","score":0.5969997644424438},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.562463104724884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49073684215545654},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.4491156339645386},{"id":"https://openalex.org/keywords/projective-test","display_name":"Projective test","score":0.4134156405925751},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3409496545791626},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3325783610343933},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.11103776097297668},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09909936785697937},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08500024676322937},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08456838130950928}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8239402770996094},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5971385836601257},{"id":"https://openalex.org/C2779345533","wikidata":"https://www.wikidata.org/wiki/Q75785","display_name":"Visual cortex","level":2,"score":0.5969997644424438},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.562463104724884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49073684215545654},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.4491156339645386},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"score":0.4134156405925751},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3409496545791626},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3325783610343933},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.11103776097297668},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09909936785697937},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08500024676322937},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08456838130950928},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcds.2023.3285909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2023.3285909","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive and Developmental Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3946213175","display_name":null,"funder_award_id":"61501154","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1507789784","https://openalex.org/W1981056748","https://openalex.org/W1987922189","https://openalex.org/W1990807126","https://openalex.org/W1995319228","https://openalex.org/W2000688860","https://openalex.org/W2025045656","https://openalex.org/W2039007672","https://openalex.org/W2044770047","https://openalex.org/W2045899586","https://openalex.org/W2056459831","https://openalex.org/W2085487061","https://openalex.org/W2109854212","https://openalex.org/W2110158442","https://openalex.org/W2110194980","https://openalex.org/W2111819147","https://openalex.org/W2119823327","https://openalex.org/W2131849929","https://openalex.org/W2150114059","https://openalex.org/W2343475718","https://openalex.org/W2739950253","https://openalex.org/W2757526371","https://openalex.org/W2757953475","https://openalex.org/W2774482732","https://openalex.org/W2803094770","https://openalex.org/W2941889397","https://openalex.org/W2958988252","https://openalex.org/W3016571809","https://openalex.org/W3022999191","https://openalex.org/W3031478966","https://openalex.org/W3037327307","https://openalex.org/W3043584134","https://openalex.org/W3087014649","https://openalex.org/W3133849452","https://openalex.org/W3135085786","https://openalex.org/W4205456660"],"related_works":["https://openalex.org/W2001489718","https://openalex.org/W2024319036","https://openalex.org/W1549557214","https://openalex.org/W1982071305","https://openalex.org/W2026311931","https://openalex.org/W2004502427","https://openalex.org/W2073468254","https://openalex.org/W2419173576","https://openalex.org/W2059052781","https://openalex.org/W2461518464"],"abstract_inverted_index":{"Based":[0],"on":[1],"the":[2,23,41,53,68,72,77,84,92,98,107,122,126,132,137,145,150,158,166,177,183,187],"information":[3,54,100,152],"flow":[4],"partition":[5],"projection":[6],"characteristics":[7,70,124],"of":[8,56,71,91,106,125],"P-type":[9],"and":[10,19,22,46,52,87,157,197],"M-type":[11],"ganglion":[12],"cells":[13,18,45,48],"(referred":[14],"to":[15,66,75,96,129,143,164,170],"as":[16,180],"P":[17,47],"M":[20,44],"cells)":[21],"neural":[24],"sparse":[25,116],"coding":[26,117],"mechanism,":[27,110],"this":[28],"article":[29],"proposed":[30,112,188],"a":[31],"new":[32],"method":[33,189],"for":[34],"image":[35,161],"contour":[36,79,134,168,173,195],"detection.":[37],"First,":[38],"we":[39,82,111],"considered":[40],"difference":[42,90,101],"between":[43,194],"in":[49],"detail":[50],"sensitivity":[51,86],"transmission":[55],"different":[57],"visual":[58,62,93,99,108],"signals.":[59],"The":[60],"parallel":[61],"pathway":[63],"was":[64,141,155,162],"constructed":[65],"simulate":[67],"prelevel":[69,123],"V1":[73],"layer":[74,128],"obtain":[76,144,171],"primary":[78,167],"response.":[80],"Then,":[81],"introduced":[83],"orientation":[85],"stimulus":[88],"response":[89,169],"receptive":[94],"field":[95],"construct":[97],"enhancement":[102],"model.":[103],"In":[104],"consideration":[105],"attention":[109],"an":[113,191],"adaptive":[114],"size":[115],"network":[118],"model":[119],"that":[120,186],"simulates":[121],"V4":[127],"intelligently":[130],"focus":[131],"target":[133],"features.":[135],"At":[136],"same":[138],"time,":[139],"de-redundancy":[140],"performed":[142],"fine":[146,159],"feature":[147,160],"image.":[148],"Finally,":[149],"hierarchical":[151],"feedback":[153],"fusion":[154],"built,":[156],"used":[163],"correct":[165],"complete":[172],"detection":[174],"results.":[175],"Taking":[176],"BSDS500":[178],"dataset":[179],"experimental":[181],"objects,":[182],"results":[184],"showed":[185],"exhibits":[190],"effective":[192],"tradeoff":[193],"extraction":[196],"texture":[198],"suppression.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}