{"id":"https://openalex.org/W3002372628","doi":"https://doi.org/10.1109/spac46244.2018.8965470","title":"Coarse-to-fine Double Linear Iteration Method for Generating Superpixels","display_name":"Coarse-to-fine Double Linear Iteration Method for Generating Superpixels","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W3002372628","doi":"https://doi.org/10.1109/spac46244.2018.8965470","mag":"3002372628"},"language":"en","primary_location":{"id":"doi:10.1109/spac46244.2018.8965470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac46244.2018.8965470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","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/A5110565924","display_name":"Jianan Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianan Shen","raw_affiliation_strings":["Tongji University,College of Electronics and Information Engineering,Shanghai,China","College of Electronics and Information Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University,College of Electronics and Information Engineering,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"College of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101428128","display_name":"Zhiping Zhou","orcid":"https://orcid.org/0000-0002-4456-7194"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiping Zhou","raw_affiliation_strings":["Tongji University,College of Electronics and Information Engineering,Shanghai,China","College of Electronics and Information Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University,College of Electronics and Information Engineering,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"College of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114310406","display_name":"Xianhui Liu","orcid":"https://orcid.org/0009-0008-7048-7148"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianhui Liu","raw_affiliation_strings":["Tongji University,College of Electronics and Information Engineering,Shanghai,China","College of Electronics and Information Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University,College of Electronics and Information Engineering,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"College of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110565924"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24975344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"465","last_page":"470"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9986000061035156,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9961000084877014,"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/segmentation","display_name":"Segmentation","score":0.717864453792572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7160431742668152},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6438897252082825},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6085622310638428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5719479918479919},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5605343580245972},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5382928252220154},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5147655010223389},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.439873069524765},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4370133876800537},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.431708425283432},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3596533536911011},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2085098922252655}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.717864453792572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7160431742668152},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6438897252082825},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6085622310638428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5719479918479919},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5605343580245972},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5382928252220154},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5147655010223389},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.439873069524765},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4370133876800537},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.431708425283432},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3596533536911011},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2085098922252655},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/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/spac46244.2018.8965470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac46244.2018.8965470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W55377555","https://openalex.org/W1508404128","https://openalex.org/W1576024392","https://openalex.org/W1994938019","https://openalex.org/W1999478155","https://openalex.org/W2007139619","https://openalex.org/W2016872984","https://openalex.org/W2037954058","https://openalex.org/W2039684198","https://openalex.org/W2067191022","https://openalex.org/W2089345624","https://openalex.org/W2100470808","https://openalex.org/W2104125540","https://openalex.org/W2118246710","https://openalex.org/W2119531662","https://openalex.org/W2121927366","https://openalex.org/W2124260943","https://openalex.org/W2135431554","https://openalex.org/W2159378019","https://openalex.org/W2293105860","https://openalex.org/W2471353525","https://openalex.org/W2536208356","https://openalex.org/W2585293115","https://openalex.org/W2605910930","https://openalex.org/W4230852370","https://openalex.org/W6672458760","https://openalex.org/W6733316252","https://openalex.org/W6844062172","https://openalex.org/W7048528128"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4395685956","https://openalex.org/W1522196789","https://openalex.org/W3035059915","https://openalex.org/W3034835492"],"abstract_inverted_index":{"To":[0],"improve":[1,50],"the":[2,5,11,15,41,51,54,58,61,97,108,111,116,126,136,159,163,173,177],"performance":[3],"of":[4,14,40,53,60,113,151,162,176],"superpixel":[6,55,75,86],"segmentation":[7,56,122,160],"algorithm":[8],"and":[9],"extract":[10],"edge":[12,70,81],"information":[13,71,82],"input":[16,62,98],"image,":[17],"a":[18,102,149],"coarse-to-fine":[19],"double":[20],"linear":[21,44],"iteration":[22],"(CDLI)":[23],"method":[24,103],"for":[25],"generating":[26],"superpixels":[27],"is":[28,105,123,129,142],"proposed":[29],"in":[30],"this":[31,92],"article.":[32],"CDLI":[33,94,156],"can":[34],"be":[35,65],"seen":[36],"as":[37],"an":[38],"improvement":[39],"SLIC":[42,146,164],"(simple":[43],"iterative":[45],"cluster).":[46],"In":[47,88,148],"order":[48,89],"to":[49,90,107,134,144],"accuracy":[52,161],"algorithm,":[57],"density":[59,76],"image":[63,99],"should":[64,72,83],"uneven.":[66],"Regions":[67],"with":[68,79,101,131],"sparce":[69],"have":[73,84],"lower":[74],"while":[77,170],"regions":[78],"rich":[80],"higher":[85,132],"density.":[87],"achieve":[91],"goal,":[93],"coarsely":[95],"partitions":[96],"firstly,":[100],"which":[104],"similar":[106],"SLIC.":[109,178],"On":[110],"basis":[112],"rough":[114],"segmentation,":[115],"region":[117,128],"that":[118,155],"needs":[119],"further":[120],"fine":[121],"selected.":[124],"Finally,":[125],"selected":[127],"partitioned":[130],"precision":[133],"form":[135],"final":[137],"result.":[138],"The":[139],"entire":[140],"process":[141],"equivalent":[143],"running":[145],"twice.":[147],"series":[150],"experiments,":[152],"it":[153],"shows":[154],"significantly":[157],"improves":[158],"by":[165],"nearly":[166],"1":[167],"percentage":[168],"point":[169],"slightly":[171],"reducing":[172],"time":[174],"efficiency":[175]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}