{"id":"https://openalex.org/W2980995327","doi":"https://doi.org/10.1109/access.2019.2947601","title":"Color Image Invariant Feature Extraction by a Topological Property Motivated PCNN Model","display_name":"Color Image Invariant Feature Extraction by a Topological Property Motivated PCNN Model","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2980995327","doi":"https://doi.org/10.1109/access.2019.2947601","mag":"2980995327"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2947601","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2947601","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08869763.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/ielx7/6287639/8600701/08869763.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079032021","display_name":"Guangjie Kou","orcid":"https://orcid.org/0000-0002-7808-1838"},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangjie Kou","raw_affiliation_strings":["School of Information and Electrical Engineering, Ludong University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Ludong University, Yantai, China","institution_ids":["https://openalex.org/I182707071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101842071","display_name":"Jun Yue","orcid":"https://orcid.org/0009-0004-6458-2510"},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yue","raw_affiliation_strings":["School of Information and Electrical Engineering, Ludong University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Ludong University, Yantai, China","institution_ids":["https://openalex.org/I182707071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073862103","display_name":"Yunyan Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunyan Ma","raw_affiliation_strings":["School of Mathematics and Statistics, Ludong University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Ludong University, Yantai, China","institution_ids":["https://openalex.org/I182707071"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101527027","display_name":"Zhiwang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I182707071","display_name":"Ludong University","ror":"https://ror.org/028h95t32","country_code":"CN","type":"education","lineage":["https://openalex.org/I182707071"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwang Zhang","raw_affiliation_strings":["School of Information and Electrical Engineering, Ludong University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Ludong University, Yantai, China","institution_ids":["https://openalex.org/I182707071"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079032021"],"corresponding_institution_ids":["https://openalex.org/I182707071"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11555802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"149649","last_page":"149656"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9987999796867371,"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":0.9987999796867371,"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9735000133514404,"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/invariant","display_name":"Invariant (physics)","score":0.7130967378616333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.683280348777771},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.635854184627533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6067153215408325},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5775516629219055},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5399669408798218},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42893990874290466},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4277290999889374},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4027065634727478},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31038564443588257},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11746677756309509}],"concepts":[{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.7130967378616333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.683280348777771},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.635854184627533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6067153215408325},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5775516629219055},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5399669408798218},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42893990874290466},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4277290999889374},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4027065634727478},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31038564443588257},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11746677756309509},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2947601","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2947601","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08869763.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:fee83c548c4344ff9e52bf40ef632aa1","is_oa":true,"landing_page_url":"https://doaj.org/article/fee83c548c4344ff9e52bf40ef632aa1","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 7, Pp 149649-149656 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2947601","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2947601","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08869763.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":[{"id":"https://metadata.un.org/sdg/14","score":0.5,"display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G1023919524","display_name":null,"funder_award_id":", Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/G1307759247","display_name":null,"funder_award_id":"61472172","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/G2696157397","display_name":null,"funder_award_id":"ZR201","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"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/G3738503180","display_name":null,"funder_award_id":"ZR2017MF010","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G3883836693","display_name":null,"funder_award_id":"ZR2017MF035","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"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/G4777272168","display_name":null,"funder_award_id":"61771231","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5111044066","display_name":null,"funder_award_id":"ZR2017MF062","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G5340283605","display_name":null,"funder_award_id":"61100115","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G535369434","display_name":null,"funder_award_id":"ZR2017MF0","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"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/G7834590407","display_name":null,"funder_award_id":"61100115","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8325761694","display_name":null,"funder_award_id":"61771231","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G8619470884","display_name":null,"funder_award_id":"61877061","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"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2980995327.pdf","grobid_xml":"https://content.openalex.org/works/W2980995327.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1994877111","https://openalex.org/W2004536454","https://openalex.org/W2005563516","https://openalex.org/W2014788144","https://openalex.org/W2026420882","https://openalex.org/W2030503833","https://openalex.org/W2040691750","https://openalex.org/W2070788440","https://openalex.org/W2146103513","https://openalex.org/W2149959126","https://openalex.org/W2150729352","https://openalex.org/W2167634460","https://openalex.org/W2297093577","https://openalex.org/W2346250972","https://openalex.org/W2488622715","https://openalex.org/W2562436907","https://openalex.org/W2581419642","https://openalex.org/W2769946540","https://openalex.org/W2786671750","https://openalex.org/W2789310401","https://openalex.org/W2792569430","https://openalex.org/W2923077656","https://openalex.org/W6731182385"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W2488129135","https://openalex.org/W4312219546","https://openalex.org/W2377538627","https://openalex.org/W2107220315","https://openalex.org/W1996690921"],"abstract_inverted_index":{"Topological":[0],"invariant":[1,33,110,138,150,170],"features":[2,8,34,131,171],"take":[3],"priority":[4],"over":[5],"other":[6],"vision":[7],"in":[9,84,157],"early":[10],"visual":[11],"perception":[12,21],"stage,":[13],"which":[14,61],"is":[15,53,93,120,140,145],"the":[16,27,32,42,63,68,73,80,89,101,109,113,117,136,149,158,166],"core":[17],"idea":[18],"of":[19,31,82,103,116,152,155],"topological":[20,43,56,75],"theory.":[22],"In":[23,86],"order":[24],"to":[25,99,147],"improve":[26],"robustness":[28],"and":[29,79,127],"distinguishability":[30],"extracted":[35],"by":[36,67,133],"pulse":[37],"coupled":[38],"neural":[39],"network":[40],"(PCNN),":[41],"properties":[44,76],"are":[45],"integrated":[46],"into":[47,129],"PCNN.":[48],"The":[49,142],"improved":[50],"PCNN":[51,59],"model":[52],"called":[54],"as":[55,72,95,122],"property":[57],"motivated":[58],"(TPCNN),":[60],"adopts":[62],"saliency":[64,91,104,118],"map":[65,92,119],"calculated":[66,132],"spectral":[69],"residual":[70],"approach":[71],"important":[74],"(the":[77],"connectivity,":[78],"number":[81],"holes":[83],"target).":[85],"TPCNN,":[87],"firstly,":[88],"normalized":[90],"used":[94,146],"a":[96],"linking":[97],"coefficient":[98],"enhance":[100],"importance":[102],"object":[105],"when":[106],"we":[107],"calculating":[108],"features.":[111],"Secondly,":[112],"entropy":[114],"signature":[115],"treated":[121],"an":[123],"additional":[124],"new":[125],"feature":[126,139,151],"merged":[128],"original":[130],"PCNN,":[134],"then":[135],"final":[137],"obtained.":[141],"proposed":[143],"TPCNN":[144,164],"calculate":[148],"different":[153],"kinds":[154],"fish":[156],"paper.":[159],"Experimental":[160],"results":[161],"show":[162],"that":[163],"outperforms":[165],"state-of-art":[167],"models":[168],"on":[169],"extraction.":[172]},"counts_by_year":[],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
