{"id":"https://openalex.org/W7130849635","doi":"https://doi.org/10.31449/inf.v50i6.10736","title":"Image Edge Detection Using FHN-CNN Model Based on Reaction-Diffusion Equations within a Dynamical Systems Framework","display_name":"Image Edge Detection Using FHN-CNN Model Based on Reaction-Diffusion Equations within a Dynamical Systems Framework","publication_year":2026,"publication_date":"2026-02-21","ids":{"openalex":"https://openalex.org/W7130849635","doi":"https://doi.org/10.31449/inf.v50i6.10736"},"language":null,"primary_location":{"id":"doi:10.31449/inf.v50i6.10736","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i6.10736","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/10736/6476","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.informatica.si/index.php/informatica/article/download/10736/6476","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126558362","display_name":"Zhao Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210146201","display_name":"Office of International Affairs","ror":"https://ror.org/05ek3m339","country_code":"US","type":"government","lineage":["https://openalex.org/I1330989302","https://openalex.org/I4210146201"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhao Yang","raw_affiliation_strings":["Academic Affairs Office, Zibo Polytechnic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academic Affairs Office, Zibo Polytechnic University","institution_ids":["https://openalex.org/I4210146201"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5126558362"],"corresponding_institution_ids":["https://openalex.org/I4210146201"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15564968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.8876000046730042,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.8876000046730042,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.012000000104308128,"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/T11829","display_name":"Mathematical Biology Tumor Growth","score":0.006899999920278788,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5993000268936157},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5823000073432922},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.46720001101493835},{"id":"https://openalex.org/keywords/cellular-neural-network","display_name":"Cellular neural network","score":0.45840001106262207},{"id":"https://openalex.org/keywords/dynamical-systems-theory","display_name":"Dynamical systems theory","score":0.4555000066757202},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4399000108242035},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41690000891685486},{"id":"https://openalex.org/keywords/system-dynamics","display_name":"System dynamics","score":0.4041000008583069},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.3612000048160553}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6061999797821045},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5993000268936157},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5823000073432922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5040000081062317},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.46720001101493835},{"id":"https://openalex.org/C812465","wikidata":"https://www.wikidata.org/wiki/Q5058375","display_name":"Cellular neural network","level":3,"score":0.45840001106262207},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.4555000066757202},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4399000108242035},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41690000891685486},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.4041000008583069},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3889000117778778},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3612000048160553},{"id":"https://openalex.org/C33962884","wikidata":"https://www.wikidata.org/wiki/Q378637","display_name":"Dynamical system (definition)","level":3,"score":0.3434000015258789},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C93779851","wikidata":"https://www.wikidata.org/wiki/Q271977","display_name":"Partial differential equation","level":2,"score":0.3237000107765198},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.3215999901294708},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.30079999566078186},{"id":"https://openalex.org/C9870796","wikidata":"https://www.wikidata.org/wiki/Q490481","display_name":"Turing","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2782999873161316},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.27090001106262207},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2621999979019165},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.25780001282691956},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2572999894618988}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31449/inf.v50i6.10736","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i6.10736","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/10736/6476","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31449/inf.v50i6.10736","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i6.10736","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/10736/6476","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.46072834730148315}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7130849635.pdf","grobid_xml":"https://content.openalex.org/works/W7130849635.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,14,39,49,53,62,65,69,75,79,94,110,116,120,124,127,131,139,143,146,154,166,174,178,206,231],"advancement":[2],"of":[3,16,55,78,85,97,109,119,123,130,142,157,233],"imaging":[4],"technology,":[5],"images":[6],"present":[7],"diverse":[8],"and":[9,13,126,153,189,213,222,227,240],"highly":[10],"complex":[11],"characteristics,":[12],"theory":[15],"dynamical":[17,56],"systems":[18],"has":[19,203,209],"great":[20],"potential":[21,67],"in":[22,68,102,138],"image":[23,86,225,234],"processing":[24,87,226,235],"due":[25],"to":[26,93,181,229],"its":[27],"unique":[28],"mathematical":[29],"properties.":[30],"Therefore,":[31],"this":[32],"study":[33,218],"proposes":[34],"an":[35],"IPT":[36],"based":[37],"on":[38],"reaction-diffusion":[40,50,132],"equation.":[41],"This":[42,217],"technique":[43],"combines":[44],"cellular":[45],"neural":[46,104],"networks":[47],"with":[48,74],"equation":[51,71],"within":[52],"framework":[54,108],"system":[57],"theory.":[58],"Specifically,":[59],"by":[60,91],"introducing":[61],"Laplacian":[63],"operator,":[64],"membrane":[66],"FitzHugh-Nagumo":[70],"is":[72,89,112],"correlated":[73],"spatiotemporal":[76],"dynamics":[77],"recovery":[80],"variable.":[81],"A":[82],"new":[83,179,207,220],"type":[84],"model":[88,125,171,180,208],"constructed":[90],"mapping":[92],"dynamic":[95,117],"evolution":[96],"locally":[98],"coupled":[99],"mesh":[100],"cells":[101],"convolutional":[103],"networks.":[105],"The":[106,134],"theoretical":[107],"technology":[111],"further":[113],"improved":[114],"through":[115],"analysis":[118],"Turing":[121],"instability":[122],"gradient":[128],"changes":[129],"system.":[133],"results":[135],"showed":[136],"that":[137,205],"performance":[140],"testing":[141],"research":[144],"model,":[145],"Edge":[147],"Preservation":[148],"Index":[149],"(EPI)":[150],"was":[151,160,185,196],"0.89":[152],"Pratt's":[155],"Figure":[156],"Merit":[158],"(PFOM)":[159],"0.95,":[161],"which":[162,195],"were":[163,191],"higher":[164,210],"than":[165,199],"comparison":[167],"models,":[168],"indicating":[169],"excellent":[170],"performance.":[172,216],"Meanwhile,":[173],"time":[175],"cost":[176],"for":[177,224],"complete":[182],"one":[183],"detection":[184],"only":[186,192],"0.9":[187],"seconds,":[188],"there":[190],"2":[193],"iterations,":[194],"significantly":[197],"better":[198,214],"other":[200],"models.":[201],"Research":[202],"shown":[204],"computational":[211],"efficiency":[212,239],"real-time":[215],"provides":[219],"ideas":[221],"methods":[223],"helps":[228],"promote":[230],"development":[232],"algorithms":[236],"towards":[237],"high":[238],"intelligence.":[241]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-02-22T00:00:00"}
