{"id":"https://openalex.org/W1965489258","doi":"https://doi.org/10.4304/jmm.8.3.270-276","title":"Multimodal Medical Image Fusion Framework Based on Simplified PCNN in Nonsubsampled Contourlet Transform Domain","display_name":"Multimodal Medical Image Fusion Framework Based on Simplified PCNN in Nonsubsampled Contourlet Transform Domain","publication_year":2013,"publication_date":"2013-06-08","ids":{"openalex":"https://openalex.org/W1965489258","doi":"https://doi.org/10.4304/jmm.8.3.270-276","mag":"1965489258"},"language":"en","primary_location":{"id":"doi:10.4304/jmm.8.3.270-276","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jmm.8.3.270-276","pdf_url":null,"source":{"id":"https://openalex.org/S16006927","display_name":"Journal of Multimedia","issn_l":"1796-2048","issn":["1796-2048"],"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 Multimedia","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/A5073883596","display_name":"Nianyi Wang","orcid":"https://orcid.org/0000-0003-2587-1438"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nianyi Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042455990","display_name":"Yide Ma","orcid":"https://orcid.org/0000-0001-6098-7853"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yide Ma","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058413200","display_name":"Kun Zhan","orcid":"https://orcid.org/0000-0002-8000-5682"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kun Zhan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5075365209","display_name":"Min Yuan","orcid":"https://orcid.org/0000-0001-7855-8678"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Min Yuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.349,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.9714971,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"8","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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":1.0,"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":0.9972000122070312,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/contourlet","display_name":"Contourlet","score":0.9456559419631958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7823237180709839},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.659106969833374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6578091382980347},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6167041063308716},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5478191375732422},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5328341722488403},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4883594214916229},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4794444143772125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11550992727279663},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.11340108513832092},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.06060341000556946}],"concepts":[{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.9456559419631958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7823237180709839},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.659106969833374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6578091382980347},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6167041063308716},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5478191375732422},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5328341722488403},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4883594214916229},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4794444143772125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11550992727279663},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.11340108513832092},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.06060341000556946},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4304/jmm.8.3.270-276","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jmm.8.3.270-276","pdf_url":null,"source":{"id":"https://openalex.org/S16006927","display_name":"Journal of Multimedia","issn_l":"1796-2048","issn":["1796-2048"],"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 Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:ir.lzu.edu.cn/:262010/126860","is_oa":false,"landing_page_url":"http://ir.lzu.edu.cn/handle/262010/126860","pdf_url":null,"source":{"id":"https://openalex.org/S4406923049","display_name":"Lanzhou University Institutional Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1000583924","https://openalex.org/W1964641132","https://openalex.org/W1980102592","https://openalex.org/W1986231131","https://openalex.org/W1989187133","https://openalex.org/W2005073548","https://openalex.org/W2010272715","https://openalex.org/W2028555274","https://openalex.org/W2040027389","https://openalex.org/W2042721357","https://openalex.org/W2048913467","https://openalex.org/W2051448032","https://openalex.org/W2055215570","https://openalex.org/W2069940079","https://openalex.org/W2082232962","https://openalex.org/W2091484864","https://openalex.org/W2093605161","https://openalex.org/W2103504761","https://openalex.org/W2106002835","https://openalex.org/W2117853853","https://openalex.org/W2131168375","https://openalex.org/W2143696753","https://openalex.org/W2149959126","https://openalex.org/W2153777140","https://openalex.org/W2163459087","https://openalex.org/W2167634460","https://openalex.org/W2167663707","https://openalex.org/W2318023913","https://openalex.org/W2357484602","https://openalex.org/W3145472506","https://openalex.org/W6684432323","https://openalex.org/W7066881767"],"related_works":["https://openalex.org/W2363243283","https://openalex.org/W2363722403","https://openalex.org/W2388473933","https://openalex.org/W2803763537","https://openalex.org/W2412887622","https://openalex.org/W3146358037","https://openalex.org/W2036935742","https://openalex.org/W1669864993","https://openalex.org/W74665983","https://openalex.org/W2115192025"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5],"new":[6],"medical":[7],"image":[8],"fusion":[9,52,125],"algorithm":[10,117],"based":[11],"on":[12],"nonsub":[13],"sampled":[14],"contourlet":[15],"transform":[16],"(NSCT)":[17],"and":[18,27,38,60,93],"spiking":[19],"cortical":[20],"model":[21],"(SCM).":[22],"The":[23,112],"flexible":[24],"multi-resolution,":[25],"anisotropy,":[26],"directional":[28],"expansion":[29],"characteristics":[30],"of":[31,42,98,107,114],"NSCT":[32],"are":[33,54],"associated":[34],"with":[35,123],"global":[36],"coupling":[37],"pulse":[39],"synchronization":[40],"features":[41],"SCM.":[43],"Considering":[44],"the":[45,58,95,115,121],"human":[46],"visual":[47],"system":[48],"characteristics,":[49],"two":[50],"different":[51],"rules":[53],"used":[55,71],"to":[56,72,83,104],"fuse":[57,73],"low":[59,74],"high":[61,108],"frequency":[62,75,79,109],"sub-bands":[63],"respectively.":[64],"Firstly,":[65],"maximum":[66],"selection":[67],"rule":[68],"(MSR)":[69],"is":[70,81,100,118],"coefficients.":[76],"Secondly,":[77],"spatial":[78],"(SF)":[80],"applied":[82],"motivate":[84],"SCM":[85,99],"network":[86],"rather":[87],"than":[88],"using":[89],"coefficients":[90,106],"value":[91],"directly,":[92],"then":[94],"time":[96],"matrix":[97],"set":[101],"as":[102],"criteria":[103],"select":[105],"sub":[110],"band.":[111],"effectiveness":[113],"proposed":[116],"achieved":[119],"by":[120],"comparison":[122],"existing":[124],"methods.":[126],"\u00a9":[127],"2013":[128],"ACADEMY":[129],"PUBLISHER.":[130]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}