{"id":"https://openalex.org/W3000239331","doi":"https://doi.org/10.1109/access.2020.2966916","title":"A Biologically Inspired Contour Detection Model Based on Multiple Visual Channels and Multi-Hierarchical Visual Information","display_name":"A Biologically Inspired Contour Detection Model Based on Multiple Visual Channels and Multi-Hierarchical Visual Information","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3000239331","doi":"https://doi.org/10.1109/access.2020.2966916","mag":"3000239331"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2966916","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2966916","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08960331.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08960331.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084622854","display_name":"Fuzhang Li","orcid":"https://orcid.org/0000-0003-1069-1573"},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fuzhang Li","raw_affiliation_strings":["College of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou, China","institution_ids":["https://openalex.org/I18570673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101722154","display_name":"Chuan Lin","orcid":"https://orcid.org/0000-0003-1779-1753"},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Lin","raw_affiliation_strings":["College of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou, China","institution_ids":["https://openalex.org/I18570673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358778","display_name":"Qing Zhang","orcid":"https://orcid.org/0000-0001-7064-7668"},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Zhang","raw_affiliation_strings":["College of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou, China","institution_ids":["https://openalex.org/I18570673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101602319","display_name":"Ruixing Wang","orcid":"https://orcid.org/0000-0001-7401-9917"},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruixing Wang","raw_affiliation_strings":["College of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou, China","institution_ids":["https://openalex.org/I18570673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084622854"],"corresponding_institution_ids":["https://openalex.org/I18570673"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5735,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.7369992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"15410","last_page":"15422"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9958000183105469,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9958000183105469,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7646098732948303},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7072356939315796},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.6832981705665588},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6374157071113586},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.49584683775901794},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4919140338897705},{"id":"https://openalex.org/keywords/lateral-geniculate-nucleus","display_name":"Lateral geniculate nucleus","score":0.4882507622241974},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.4658921957015991},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.46026140451431274},{"id":"https://openalex.org/keywords/visual-cortex","display_name":"Visual cortex","score":0.43340176343917847},{"id":"https://openalex.org/keywords/receptive-field","display_name":"Receptive field","score":0.41150668263435364},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.15886932611465454},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09757921099662781}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7646098732948303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7072356939315796},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.6832981705665588},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6374157071113586},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.49584683775901794},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4919140338897705},{"id":"https://openalex.org/C2776362945","wikidata":"https://www.wikidata.org/wiki/Q719179","display_name":"Lateral geniculate nucleus","level":3,"score":0.4882507622241974},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.4658921957015991},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.46026140451431274},{"id":"https://openalex.org/C2779345533","wikidata":"https://www.wikidata.org/wiki/Q75785","display_name":"Visual cortex","level":2,"score":0.43340176343917847},{"id":"https://openalex.org/C19071747","wikidata":"https://www.wikidata.org/wiki/Q1755207","display_name":"Receptive field","level":2,"score":0.41150668263435364},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.15886932611465454},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09757921099662781},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2966916","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2966916","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08960331.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9f3fee62ece24c14b6fd57f28aa086a4","is_oa":true,"landing_page_url":"https://doaj.org/article/9f3fee62ece24c14b6fd57f28aa086a4","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 15410-15422 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2966916","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2966916","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08960331.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1054376735","display_name":null,"funder_award_id":"2015GXNSFAA139293","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6583697652","display_name":null,"funder_award_id":"61866002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8061749506","display_name":null,"funder_award_id":"2018GXNSFAA138122","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"},{"id":"https://openalex.org/G8262206847","display_name":null,"funder_award_id":"61866002","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3000239331.pdf","grobid_xml":"https://content.openalex.org/works/W3000239331.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W1507789784","https://openalex.org/W1565402342","https://openalex.org/W1586973394","https://openalex.org/W1829900417","https://openalex.org/W1838064955","https://openalex.org/W1910619957","https://openalex.org/W1930528368","https://openalex.org/W1965673217","https://openalex.org/W1969780391","https://openalex.org/W1978680703","https://openalex.org/W1981056748","https://openalex.org/W1987922189","https://openalex.org/W1988849438","https://openalex.org/W1989066553","https://openalex.org/W1996887737","https://openalex.org/W2007522261","https://openalex.org/W2012093191","https://openalex.org/W2018162634","https://openalex.org/W2019278291","https://openalex.org/W2019723923","https://openalex.org/W2022362255","https://openalex.org/W2025045656","https://openalex.org/W2028489556","https://openalex.org/W2045899586","https://openalex.org/W2059376746","https://openalex.org/W2063861811","https://openalex.org/W2065621419","https://openalex.org/W2082799574","https://openalex.org/W2084577485","https://openalex.org/W2085487061","https://openalex.org/W2089366793","https://openalex.org/W2106343996","https://openalex.org/W2107525898","https://openalex.org/W2109596819","https://openalex.org/W2109854212","https://openalex.org/W2110158442","https://openalex.org/W2111819147","https://openalex.org/W2114567332","https://openalex.org/W2119823327","https://openalex.org/W2121927366","https://openalex.org/W2128254161","https://openalex.org/W2132649652","https://openalex.org/W2136325353","https://openalex.org/W2142440858","https://openalex.org/W2144556767","https://openalex.org/W2163605009","https://openalex.org/W2165914352","https://openalex.org/W2167965718","https://openalex.org/W2170906793","https://openalex.org/W2172014587","https://openalex.org/W2289871033","https://openalex.org/W2414372621","https://openalex.org/W2500460583","https://openalex.org/W2739950253","https://openalex.org/W2945546743","https://openalex.org/W2962860144","https://openalex.org/W6639799379","https://openalex.org/W6678461930","https://openalex.org/W6681391770","https://openalex.org/W6684191040","https://openalex.org/W6685427411"],"related_works":["https://openalex.org/W2155258764","https://openalex.org/W1969635941","https://openalex.org/W2153918507","https://openalex.org/W56938330","https://openalex.org/W2799754716","https://openalex.org/W2092912539","https://openalex.org/W2063635471","https://openalex.org/W2105107100","https://openalex.org/W2133776193","https://openalex.org/W1596533183"],"abstract_inverted_index":{"The":[0,85,135,176],"information":[1,78],"processing":[2,17,79,100],"mechanism":[3],"of":[4,12,20,27,47,64,94,104,138,157,205],"a":[5,34,55,149],"visual":[6,66,70,97],"system":[7],"captures":[8],"the":[9,21,28,44,61,95,101,105,112,119,125,132,139,154,158,168,203,206],"real":[10],"contours":[11],"an":[13],"object":[14],"through":[15],"multi-hierarchical":[16,69],"and":[18,36,68,83,111,124,141,160,196],"integration":[19],"basic":[22],"features":[23],"(color,":[24],"grayscale,":[25],"etc.)":[26],"image.":[29],"In":[30,50,72],"more":[31],"complex":[32,186],"situations,":[33],"reasonable":[35],"effective":[37],"framework":[38],"is":[39,89,116,145],"often":[40],"required":[41],"to":[42,171,190],"solve":[43],"high-precision":[45],"problem":[46],"contour":[48,56,208],"detection.":[49],"this":[51],"paper,":[52],"we":[53,75],"propose":[54],"detection":[57,174,209],"model":[58,182,195],"inspired":[59,194],"by":[60,91,118,147],"biological":[62],"characteristics":[63],"multiple":[65],"channels":[67,80],"information.":[71],"our":[73,181],"model,":[74],"mainly":[76],"include":[77],"for":[81],"color":[82,86,140,159],"luminance.":[84],"channel":[87,114,143,162],"response":[88,103,115,123,163],"obtained":[90],"color-sensitive":[92],"neurons":[93],"primary":[96],"cortex":[98],"(V1)":[99],"single-opponent":[102],"retinal/lateral":[106],"geniculate":[107],"nucleus":[108],"(LGN)":[109],"layer,":[110],"luminance":[113,133,142,161],"selected":[117],"linear":[120],"X":[121],"cell":[122,128],"nonlinear":[126],"Y":[127],"response,":[129],"based":[130],"on":[131],"contrast.":[134],"texture":[136],"suppression":[137],"responses":[144],"enhanced":[146],"introducing":[148],"sparse":[150],"coding":[151],"mechanism.":[152],"Finally,":[153],"fusion":[155],"weights":[156],"energies":[164],"are":[165],"calculated":[166],"using":[167],"optimal":[169],"direction":[170],"obtain":[172],"better":[173],"performance.":[175],"experimental":[177],"results":[178],"show":[179],"that":[180],"performs":[183],"well":[184],"in":[185,188],"situations":[187],"comparison":[189],"current":[191],"advanced":[192],"biologically":[193],"some":[197],"machine":[198],"learning-based":[199],"models,":[200],"further":[201],"improving":[202],"robustness":[204],"non-learning":[207],"model.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
