{"id":"https://openalex.org/W2573546209","doi":"https://doi.org/10.1109/tip.2017.2651389","title":"Linear Spectral Clustering Superpixel","display_name":"Linear Spectral Clustering Superpixel","publication_year":2017,"publication_date":"2017-01-11","ids":{"openalex":"https://openalex.org/W2573546209","doi":"https://doi.org/10.1109/tip.2017.2651389","mag":"2573546209","pmid":"https://pubmed.ncbi.nlm.nih.gov/28092548"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2017.2651389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2651389","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100668653","display_name":"Jiansheng Chen","orcid":"https://orcid.org/0000-0002-2040-7938"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiansheng Chen","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060452999","display_name":"Zhengqin Li","orcid":"https://orcid.org/0000-0003-0868-2141"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Zhengqin Li","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California at San Diego, La Jolla, CA, USA","Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California at San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100705731","display_name":"Bo Huang","orcid":"https://orcid.org/0000-0002-5063-3522"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Huang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100668653"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":19.4302,"has_fulltext":false,"cited_by_count":206,"citation_normalized_percentile":{"value":0.99328162,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"26","issue":"7","first_page":"3317","last_page":"3330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991999864578247,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991999864578247,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9970999956130981,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9958999752998352,"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/spectral-clustering","display_name":"Spectral clustering","score":0.6022356748580933},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5980955958366394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5799992084503174},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5695260167121887},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5474269986152649},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5333248376846313},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5136229395866394},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.42744433879852295},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41758203506469727},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4118337333202362},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4105088710784912},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.37892088294029236},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34251290559768677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.336396187543869}],"concepts":[{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6022356748580933},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5980955958366394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5799992084503174},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5695260167121887},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5474269986152649},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5333248376846313},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5136229395866394},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.42744433879852295},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41758203506469727},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4118337333202362},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4105088710784912},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.37892088294029236},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34251290559768677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.336396187543869},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2017.2651389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2651389","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:28092548","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28092548","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5552182671","display_name":null,"funder_award_id":"61673234","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G677781564","display_name":null,"funder_award_id":"20131089382","funder_id":"https://openalex.org/F4320322392","funder_display_name":"Tsinghua University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1495267108","https://openalex.org/W1508404128","https://openalex.org/W1548953334","https://openalex.org/W1563088657","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W1907409009","https://openalex.org/W1923697677","https://openalex.org/W1938929646","https://openalex.org/W1970786134","https://openalex.org/W1994938019","https://openalex.org/W1999478155","https://openalex.org/W2002704236","https://openalex.org/W2003060733","https://openalex.org/W2037227137","https://openalex.org/W2039684198","https://openalex.org/W2066624635","https://openalex.org/W2067191022","https://openalex.org/W2101309634","https://openalex.org/W2104125540","https://openalex.org/W2113137767","https://openalex.org/W2115313253","https://openalex.org/W2117539524","https://openalex.org/W2118246710","https://openalex.org/W2119531662","https://openalex.org/W2121927366","https://openalex.org/W2121947440","https://openalex.org/W2124351162","https://openalex.org/W2135674549","https://openalex.org/W2135957668","https://openalex.org/W2143516773","https://openalex.org/W2151996626","https://openalex.org/W2165874743","https://openalex.org/W2221898772","https://openalex.org/W2277195237","https://openalex.org/W2293105860","https://openalex.org/W2294602567","https://openalex.org/W2404287876","https://openalex.org/W2545985378","https://openalex.org/W4300293005","https://openalex.org/W6629474557","https://openalex.org/W6632792525","https://openalex.org/W6639102338","https://openalex.org/W6640295612","https://openalex.org/W6640464587","https://openalex.org/W6684578312","https://openalex.org/W6697111280","https://openalex.org/W6844062172"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W1966256533","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W4313052709","https://openalex.org/W2945274617","https://openalex.org/W2022929107","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2758994127"],"abstract_inverted_index":{"In":[0,35],"this":[1,108],"paper,":[2],"we":[3,72],"present":[4],"a":[5,37,47,78,92],"superpixel":[6,217],"segmentation":[7,43,218],"algorithm":[8],"called":[9],"linear":[10,153],"spectral":[11],"clustering":[12,145],"(LSC),":[13],"which":[14],"is":[15,44,129,235],"capable":[16],"of":[17,41,114,136,166,173,188,222,233],"producing":[18],"superpixels":[19],"with":[20,31],"both":[21,52,163],"high":[22,157],"boundary":[23],"adherence":[24],"and":[25,56,118,156,170],"visual":[26],"compactness":[27],"for":[28],"natural":[29],"images":[30],"low":[32],"computational":[33,154],"costs.":[34],"LSC,":[36],"normalized":[38,120,138],"cuts-based":[39],"formulation":[40],"image":[42,61,196,229],"adopted":[45],"using":[46,67],"distance":[48],"metric":[49,76],"that":[50,84,101,205],"measures":[51],"the":[53,57,68,74,99,111,115,119,123,133,137,147,164,167,171,174,180,185,215],"color":[54],"similarity":[55,75],"space":[58],"proximity":[59],"between":[60,184],"pixels.":[62],"However,":[63],"rather":[64],"than":[65,214],"directly":[66],"traditional":[69],"eigen-based":[70],"algorithm,":[71],"approximate":[73],"through":[77,198],"deliberately":[79],"designed":[80],"kernel":[81,176],"function":[82,135],"such":[83],"pixel":[85],"values":[86],"can":[87],"be":[88],"explicitly":[89],"mapped":[90],"to":[91,131],"high-dimensional":[93],"feature":[94,109,149],"space.":[95,150],"We":[96],"then":[97],"apply":[98],"conclusion":[100],"by":[102,140],"appropriately":[103],"weighting":[104],"each":[105],"point":[106],"in":[107,146,220,228,238],"space,":[110],"objective":[112],"functions":[113],"weighted":[116],"K-means":[117,144],"cuts":[121,139],"share":[122],"same":[124],"optimum":[125],"points.":[126],"Consequently,":[127],"it":[128,161],"possible":[130],"optimize":[132],"cost":[134],"iteratively":[141],"applying":[142],"simple":[143],"proposed":[148],"LSC":[151,192,206,234],"possesses":[152],"complexity":[155],"memory":[158],"efficiency,":[159],"since":[160],"avoids":[162],"decomposition":[165],"affinity":[168],"matrix":[169],"generation":[172],"large":[175],"matrix.":[177],"By":[178],"utilizing":[179],"underlying":[181],"mathematical":[182],"equivalence":[183],"two":[186,239],"types":[187],"seemingly":[189],"different":[190],"methods,":[191],"successfully":[193],"preserves":[194],"global":[195],"structures":[197],"efficient":[199],"local":[200],"operations.":[201],"Experimental":[202],"results":[203],"show":[204],"performs":[207],"as":[208,210],"well":[209],"or":[211],"even":[212],"better":[213],"state-of-the-art":[216],"algorithms":[219],"terms":[221],"several":[223],"commonly":[224],"used":[225],"evaluation":[226],"metrics":[227],"segmentation.":[230],"The":[231],"applicability":[232],"further":[236],"demonstrated":[237],"related":[240],"computer":[241],"vision":[242],"tasks.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":27},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":31},{"year":2018,"cited_by_count":19},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}