{"id":"https://openalex.org/W2058173203","doi":"https://doi.org/10.4304/jcp.8.9.2429-2436","title":"Image Segmentation with PCNN Model and Immune Algorithm","display_name":"Image Segmentation with PCNN Model and Immune Algorithm","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2058173203","doi":"https://doi.org/10.4304/jcp.8.9.2429-2436","mag":"2058173203"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.8.9.2429-2436","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.8.9.2429-2436","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","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/A5100462038","display_name":"Jianfeng Li","orcid":"https://orcid.org/0000-0003-4055-7017"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jianfeng Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062015169","display_name":"Beiji Zou","orcid":"https://orcid.org/0000-0002-3542-1097"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Beiji Zou","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088242752","display_name":"Lei Ding","orcid":"https://orcid.org/0000-0003-0653-8373"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Ding","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101516229","display_name":"Xu Gao","orcid":"https://orcid.org/0000-0002-7623-786X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu Gao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100462038"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3727,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.93221786,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":"9","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9925000071525574,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9922999739646912,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6456343531608582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6240136623382568},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5543305277824402},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4851575493812561},{"id":"https://openalex.org/keywords/artificial-immune-system","display_name":"Artificial immune system","score":0.46146872639656067},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45515865087509155},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4373512864112854},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4225037097930908},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41244903206825256}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6456343531608582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6240136623382568},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5543305277824402},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4851575493812561},{"id":"https://openalex.org/C93768804","wikidata":"https://www.wikidata.org/wiki/Q2518735","display_name":"Artificial immune system","level":2,"score":0.46146872639656067},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45515865087509155},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4373512864112854},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4225037097930908},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41244903206825256}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcp.8.9.2429-2436","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.8.9.2429-2436","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1536729381","https://openalex.org/W1939498506","https://openalex.org/W1967969479","https://openalex.org/W2021639094","https://openalex.org/W2045630464","https://openalex.org/W2091531025","https://openalex.org/W2109701261","https://openalex.org/W2113203642","https://openalex.org/W2167634460","https://openalex.org/W2183541507","https://openalex.org/W2378297788","https://openalex.org/W2378900190","https://openalex.org/W2389582424","https://openalex.org/W2392309265","https://openalex.org/W2540379280","https://openalex.org/W6729021893"],"related_works":["https://openalex.org/W2072810146","https://openalex.org/W2802332472","https://openalex.org/W4379231730","https://openalex.org/W1580592754","https://openalex.org/W3169290918","https://openalex.org/W240541972","https://openalex.org/W2599157344","https://openalex.org/W4324315429","https://openalex.org/W2501551404","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0],"the":[1,20,59,63,82,91,99,105,112,116,124],"domain":[2],"of":[3,62,66,101,119],"image":[4,56],"processing,":[5],"PCNN":[6,30,43,71,120],"(Pulse":[7],"Coupled":[8],"Neural":[9],"Network)":[10],"need":[11],"to":[12,18,80,97,103],"adjust":[13],"parameters":[14,31,44,48,72,121],"time":[15,17],"after":[16],"obtain":[19],"better":[21,125],"performance.":[22],"To":[23],"this":[24],"end,":[25],"we":[26],"propose":[27],"a":[28],"novel":[29],"automatic":[32],"decision":[33],"algorithm":[34,68],"based":[35,50],"on":[36,51],"immune":[37,52,67],"algorithm.":[38,53],"The":[39],"proposed":[40,92,113],"method":[41,93,114],"transforms":[42],"setting":[45],"problem":[46],"into":[47,88],"optimization":[49],"It":[54],"takes":[55],"entropy":[57],"as":[58],"evaluation":[60],"basis":[61],"best":[64],"fitness":[65],"so":[69],"that":[70,84,111],"can":[73],"be":[74],"adjusted":[75],"adaptively.":[76],"Meanwhile,":[77],"in":[78],"order":[79],"break":[81],"condition":[83],"population":[85,106],"information":[86,96],"fall":[87],"local":[89],"optimum,":[90],"introduces":[94],"gradient":[95],"affect":[98],"evolution":[100],"antibody":[102],"keep":[104],"activity.":[107],"Experiment":[108],"results":[109],"show":[110],"realizes":[115],"adaptive":[117],"adjustment":[118],"and":[122],"yields":[123],"segmentation":[126],"performance":[127],"than":[128],"many":[129],"existing":[130],"methods.":[131]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}