{"id":"https://openalex.org/W4400355914","doi":"https://doi.org/10.1109/tbdata.2024.3423719","title":"Adaptive Superpixel Segmentation With Non-Uniform Seed Initialization","display_name":"Adaptive Superpixel Segmentation With Non-Uniform Seed Initialization","publication_year":2024,"publication_date":"2024-07-05","ids":{"openalex":"https://openalex.org/W4400355914","doi":"https://doi.org/10.1109/tbdata.2024.3423719"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2024.3423719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2024.3423719","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Big Data","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/A5018479365","display_name":"Xinlin Xie","orcid":"https://orcid.org/0000-0002-1988-8535"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinlin Xie","raw_affiliation_strings":["School of Electronic and Information Engineering, Shanxi Key Laboratory of Advanced Control and Equipment Intelligence, Taiyuan University of Science and Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Shanxi Key Laboratory of Advanced Control and Equipment Intelligence, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101689381","display_name":"Jing Fan","orcid":"https://orcid.org/0000-0003-0072-5661"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Fan","raw_affiliation_strings":["School of Electronic and Information Engineering, Shanxi Key Laboratory of Advanced Control and Equipment Intelligence, Taiyuan University of Science and Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Shanxi Key Laboratory of Advanced Control and Equipment Intelligence, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004476121","display_name":"Xinying Xu","orcid":"https://orcid.org/0009-0006-2841-5795"},"institutions":[{"id":"https://openalex.org/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinying Xu","raw_affiliation_strings":["College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008856171","display_name":"Gang Xie","orcid":"https://orcid.org/0000-0002-1608-1103"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Xie","raw_affiliation_strings":["School of Electronic and Information Engineering, Shanxi Key Laboratory of Advanced Control and Equipment Intelligence, Taiyuan University of Science and Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Shanxi Key Laboratory of Advanced Control and Equipment Intelligence, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018479365"],"corresponding_institution_ids":["https://openalex.org/I46305995"],"apc_list":null,"apc_paid":null,"fwci":1.0998,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77490336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"11","issue":"2","first_page":"620","last_page":"634"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10036","display_name":"Advanced Neural Network Applications","score":0.9907000064849854,"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/initialization","display_name":"Initialization","score":0.8741343021392822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7696939706802368},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7575255632400513},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6665012240409851},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.65864098072052},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6284421682357788},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.532673716545105},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.48584410548210144},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.43381211161613464},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4333115816116333},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36485981941223145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20813992619514465}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.8741343021392822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7696939706802368},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7575255632400513},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6665012240409851},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.65864098072052},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6284421682357788},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.532673716545105},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.48584410548210144},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.43381211161613464},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4333115816116333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36485981941223145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20813992619514465},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":1,"locations":[{"id":"doi:10.1109/tbdata.2024.3423719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2024.3423719","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G1028412048","display_name":null,"funder_award_id":"202202010101005","funder_id":"https://openalex.org/F4320336035","funder_display_name":"Shanxi Provincial Key Research and Development Project"},{"id":"https://openalex.org/G2788711104","display_name":null,"funder_award_id":"62006169","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336035","display_name":"Shanxi Provincial Key Research and Development Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W1938929646","https://openalex.org/W1994938019","https://openalex.org/W1999478155","https://openalex.org/W2003088946","https://openalex.org/W2081314642","https://openalex.org/W2104125540","https://openalex.org/W2108424265","https://openalex.org/W2110158442","https://openalex.org/W2118246710","https://openalex.org/W2119531662","https://openalex.org/W2135431554","https://openalex.org/W2149233894","https://openalex.org/W2160966992","https://openalex.org/W2171943915","https://openalex.org/W2220312492","https://openalex.org/W2293105860","https://openalex.org/W2471353525","https://openalex.org/W2529970009","https://openalex.org/W2585293115","https://openalex.org/W2592370397","https://openalex.org/W2602809673","https://openalex.org/W2605910930","https://openalex.org/W2612271937","https://openalex.org/W2765830274","https://openalex.org/W2770984961","https://openalex.org/W2771045332","https://openalex.org/W2787320474","https://openalex.org/W2793607189","https://openalex.org/W2798380924","https://openalex.org/W2798807298","https://openalex.org/W2883606943","https://openalex.org/W2914056661","https://openalex.org/W2914921975","https://openalex.org/W2921653116","https://openalex.org/W2933213756","https://openalex.org/W2942655051","https://openalex.org/W2946315763","https://openalex.org/W2987860915","https://openalex.org/W3035241330","https://openalex.org/W3080323865","https://openalex.org/W3112987015","https://openalex.org/W3124408609","https://openalex.org/W3159186494","https://openalex.org/W3173785487","https://openalex.org/W3212622989","https://openalex.org/W4284895341","https://openalex.org/W4285019520","https://openalex.org/W4308234222","https://openalex.org/W4312688875","https://openalex.org/W4312710511","https://openalex.org/W4312742449","https://openalex.org/W4312753915","https://openalex.org/W4312981390","https://openalex.org/W4315630830","https://openalex.org/W4382203304"],"related_works":["https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2945274617","https://openalex.org/W3199300986","https://openalex.org/W4313052709","https://openalex.org/W4298131179","https://openalex.org/W2375430703"],"abstract_inverted_index":{"Superpixel":[0],"segmentation":[1,15,34,59,192],"is":[2,55,183,193],"a":[3,32,69,108,143],"powerful":[4],"image":[5],"pre-processing":[6],"tool":[7],"in":[8,139],"computer":[9],"vision":[10],"applications.":[11],"However,":[12],"fewer":[13],"superpixel":[14,33,191],"methods":[16],"consider":[17],"automatically":[18],"determining":[19],"the":[20,46,49,58,75,78,82,91,120,125,134,148,160,165,171,179,186,189,197],"number":[21,47],"of":[22,51,60,77,81,93,127,150,164,188],"initial":[23,52],"superpixels.":[24,167],"Focusing":[25],"on":[26,74,147,170],"high-precision":[27],"and":[28,48,54,63,85,115,123,141,162,174,185],"connectivity,":[29],"we":[30,67,95,106,132],"propose":[31,68,142],"algorithm":[35,42],"with":[36,101,112,196],"non-uniform":[37,180],"seed":[38,70,103,181],"initialization.":[39],"The":[40,154],"proposed":[41,155,190],"can":[43,157],"adaptively":[44],"determine":[45],"position":[50],"seeds,":[53],"robust":[56],"to":[57],"small":[61,83,152],"objects":[62],"slender":[64],"regions.":[65],"First,":[66],"initialization":[71,182],"scheme":[72],"based":[73,146],"side":[76],"circumscribed":[79],"rectangle":[80],"object":[84],"interval":[86],"boundary":[87],"gradient.":[88],"To":[89],"enhance":[90],"regularity":[92,163],"superpixels,":[94],"equally":[96],"added":[97],"seeds":[98],"for":[99],"grids":[100],"sparse":[102],"distribution.":[104],"Second,":[105],"construct":[107],"weighted":[109],"distance":[110],"measure":[111],"search":[113],"region":[114],"feature":[116],"constraints,":[117],"which":[118],"reduces":[119],"computational":[121],"complexity":[122],"enhances":[124],"precision":[126],"pixel":[128],"label":[129],"assignment.":[130],"Finally,":[131],"quantify":[133],"disconnected":[135],"regions":[136],"are":[137],"present":[138],"abundance,":[140],"post-processing":[144],"method":[145,156],"area":[149],"predefined":[151],"objects.":[153],"significantly":[158],"improve":[159],"connectivity":[161],"generated":[166],"Extensive":[168],"experiments":[169],"widely-used":[172],"BSDS":[173],"CamVid":[175],"datasets":[176],"demonstrate":[177],"that":[178],"effective,":[184],"performance":[187],"favorably":[194],"compared":[195],"state-of-the-art":[198],"methods.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}