{"id":"https://openalex.org/W2510553737","doi":"https://doi.org/10.1109/dictap.2016.7544016","title":"A discrete particle swarm optimisation algorithm for geographical map contour reconstruction","display_name":"A discrete particle swarm optimisation algorithm for geographical map contour reconstruction","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2510553737","doi":"https://doi.org/10.1109/dictap.2016.7544016","mag":"2510553737"},"language":"en","primary_location":{"id":"doi:10.1109/dictap.2016.7544016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dictap.2016.7544016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Sixth International Conference on Digital Information and Communication Technology and its Applications (DICTAP)","raw_type":"proceedings-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/A5079533048","display_name":"Baha Fergani","orcid":null},"institutions":[{"id":"https://openalex.org/I125485651","display_name":"Constantine 1 University","ror":"https://ror.org/017wv6808","country_code":"DZ","type":"education","lineage":["https://openalex.org/I125485651"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Baha Fergani","raw_affiliation_strings":["MISC Laboratory, Constantine 2University, Constantine, Algeria"],"affiliations":[{"raw_affiliation_string":"MISC Laboratory, Constantine 2University, Constantine, Algeria","institution_ids":["https://openalex.org/I125485651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048405710","display_name":"Mohamed Khireddine Kholladi","orcid":"https://orcid.org/0000-0002-3051-1317"},"institutions":[{"id":"https://openalex.org/I4210154551","display_name":"Centre Hospitalo-Universitaire Bab El Oued","ror":"https://ror.org/05qf3bt68","country_code":"DZ","type":"healthcare","lineage":["https://openalex.org/I4210154551"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Mohamed-Khireddine Kholladi","raw_affiliation_strings":["University of E1-Oued Algeria, El-Oued, Algeria"],"affiliations":[{"raw_affiliation_string":"University of E1-Oued Algeria, El-Oued, Algeria","institution_ids":["https://openalex.org/I4210154551"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079533048"],"corresponding_institution_ids":["https://openalex.org/I125485651"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5631094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"14","issue":null,"first_page":"142","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9958000183105469,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9958000183105469,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.992900013923645,"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/T10531","display_name":"Advanced Vision and Imaging","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"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6792187690734863},{"id":"https://openalex.org/keywords/contour-line","display_name":"Contour line","score":0.6614888906478882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6528058052062988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5867721438407898},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5273937582969666},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5152049660682678},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47065606713294983},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46460241079330444},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.4325179159641266},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41382503509521484},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3959842324256897},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24437656998634338},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.24085307121276855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21008560061454773},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20604032278060913},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1233624815940857}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6792187690734863},{"id":"https://openalex.org/C86069527","wikidata":"https://www.wikidata.org/wiki/Q6653802","display_name":"Contour line","level":2,"score":0.6614888906478882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6528058052062988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5867721438407898},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5273937582969666},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5152049660682678},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47065606713294983},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46460241079330444},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.4325179159641266},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41382503509521484},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3959842324256897},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24437656998634338},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.24085307121276855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21008560061454773},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20604032278060913},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1233624815940857},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dictap.2016.7544016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dictap.2016.7544016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Sixth International Conference on Digital Information and Communication Technology and its Applications (DICTAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W63236525","https://openalex.org/W135689047","https://openalex.org/W1486673100","https://openalex.org/W1545070977","https://openalex.org/W1594134533","https://openalex.org/W1707643586","https://openalex.org/W1839421881","https://openalex.org/W1983485428","https://openalex.org/W2013852177","https://openalex.org/W2019133069","https://openalex.org/W2058386549","https://openalex.org/W2070594911","https://openalex.org/W2097559982","https://openalex.org/W2108356995","https://openalex.org/W2117349184","https://openalex.org/W2126841487","https://openalex.org/W2139737352","https://openalex.org/W2140627561","https://openalex.org/W2141268222","https://openalex.org/W2151098246","https://openalex.org/W2154268118","https://openalex.org/W2159882774","https://openalex.org/W2163948624","https://openalex.org/W2316557776","https://openalex.org/W2484651486","https://openalex.org/W2549322510","https://openalex.org/W6602589963","https://openalex.org/W6629095226","https://openalex.org/W6632773949","https://openalex.org/W6637549818","https://openalex.org/W6646026178","https://openalex.org/W6678859938","https://openalex.org/W6681020983","https://openalex.org/W6682366502","https://openalex.org/W6722516992","https://openalex.org/W6729655409"],"related_works":["https://openalex.org/W2387003628","https://openalex.org/W123102278","https://openalex.org/W2081609930","https://openalex.org/W2365596436","https://openalex.org/W163453029","https://openalex.org/W2980879967","https://openalex.org/W2128914210","https://openalex.org/W2083612662","https://openalex.org/W2013077238","https://openalex.org/W2375013257"],"abstract_inverted_index":{"Nowadays,":[0],"map":[1],"images":[2],"are":[3,67],"widely":[4],"used":[5],"for":[6,35,76],"many":[7],"applications.":[8],"To":[9],"be":[10,43,57],"well":[11],"exploited,":[12],"theses":[13],"maps":[14],"generally":[15],"need":[16,34],"a":[17,73,93],"contour":[18,51,62,78],"extraction":[19,52],"operation.":[20],"However,":[21],"gaps":[22,41,66],"may":[23],"result":[24],"from":[25,45,49],"this":[26],"phase,":[27],"which":[28],"would":[29],"give":[30],"rise":[31],"to":[32],"the":[33,37,50],"reconstructing":[36],"missing":[38],"parts.":[39],"Map-contour":[40],"can":[42],"caused":[44],"low-maps":[46],"quality":[47],"or":[48],"process.":[53],"This":[54,70],"problem":[55],"cannot":[56],"dealt":[58],"with":[59],"simple":[60],"traditional":[61],"extractors":[63],"when":[64],"these":[65],"relatively":[68],"large.":[69],"paper":[71],"proposes":[72],"discrete":[74],"PSO":[75],"damaged":[77],"matching":[79],"in":[80],"geographical":[81],"maps.":[82,97],"The":[83],"proposed":[84],"approach":[85],"has":[86],"been":[87],"validated":[88],"by":[89],"applying":[90],"it":[91],"on":[92],"set":[94],"of":[95],"genuine":[96]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}