{"id":"https://openalex.org/W1994235406","doi":"https://doi.org/10.1109/icics.2013.6782861","title":"Efficient image segmentation algorithm using SLIC superpixels and boundary-focused region merging","display_name":"Efficient image segmentation algorithm using SLIC superpixels and boundary-focused region merging","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W1994235406","doi":"https://doi.org/10.1109/icics.2013.6782861","mag":"1994235406"},"language":"en","primary_location":{"id":"doi:10.1109/icics.2013.6782861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2013.6782861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 9th International Conference on Information, Communications & Signal Processing","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/A5057404603","display_name":"Chi-Yu Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chi-Yu Hsu","raw_affiliation_strings":["Graduate Institute of Communication Engineering National Taiwan University, Taipei, Taiwan","[Grad. Inst. of Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan]"],"affiliations":[{"raw_affiliation_string":"Graduate Institute of Communication Engineering National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"[Grad. Inst. of Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan]","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022371410","display_name":"Jian\u2013Jiun Ding","orcid":"https://orcid.org/0000-0003-4510-2273"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jian-Jiun Ding","raw_affiliation_strings":["Graduate Institute of Communication Engineering National Taiwan University, Taipei, Taiwan","[Grad. Inst. of Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan]"],"affiliations":[{"raw_affiliation_string":"Graduate Institute of Communication Engineering National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"[Grad. Inst. of Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan]","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057404603"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":1.633,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.85550661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9980999827384949,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.996999979019165,"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/computer-science","display_name":"Computer science","score":0.7186450958251953},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7058056592941284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6875851154327393},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6837111711502075},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6822980046272278},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.6476321816444397},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6331121325492859},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.6132243275642395},{"id":"https://openalex.org/keywords/minimum-spanning-tree-based-segmentation","display_name":"Minimum spanning tree-based segmentation","score":0.5991690754890442},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.557647705078125},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4993584156036377},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48858317732810974},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.4825127124786377},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.46897372603416443},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3658243417739868},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32580268383026123},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.152114599943161},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.05598932504653931}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7186450958251953},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7058056592941284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6875851154327393},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6837111711502075},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6822980046272278},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6476321816444397},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6331121325492859},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.6132243275642395},{"id":"https://openalex.org/C42314347","wikidata":"https://www.wikidata.org/wiki/Q6865488","display_name":"Minimum spanning tree-based segmentation","level":5,"score":0.5991690754890442},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.557647705078125},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4993584156036377},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48858317732810974},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.4825127124786377},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.46897372603416443},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3658243417739868},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32580268383026123},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.152114599943161},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.05598932504653931},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icics.2013.6782861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2013.6782861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 9th International Conference on Information, Communications & Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1498238238","https://openalex.org/W1606247071","https://openalex.org/W1999478155","https://openalex.org/W2010975286","https://openalex.org/W2067191022","https://openalex.org/W2070884193","https://openalex.org/W2097323414","https://openalex.org/W2104019579","https://openalex.org/W2104125540","https://openalex.org/W2116046277","https://openalex.org/W2118246710","https://openalex.org/W2121189958","https://openalex.org/W2121927366","https://openalex.org/W2121947440","https://openalex.org/W2122555510","https://openalex.org/W2126337883","https://openalex.org/W2141729166","https://openalex.org/W2152322845","https://openalex.org/W2546160422","https://openalex.org/W6629812418","https://openalex.org/W6636255973","https://openalex.org/W6653423199","https://openalex.org/W6678192408"],"related_works":["https://openalex.org/W2551987074","https://openalex.org/W2394279717","https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2353364291","https://openalex.org/W2531745538","https://openalex.org/W2372421320","https://openalex.org/W4391423722","https://openalex.org/W2055202857","https://openalex.org/W2359699469"],"abstract_inverted_index":{"An":[0],"effective":[1],"graph-based":[2],"image":[3,34],"segmentation":[4,35,53,58,92,103],"using":[5],"superpixel-based":[6,57],"graph":[7],"representation":[8],"is":[9,37,75],"introduced.":[10],"The":[11,99],"techniques":[12,89],"of":[13,64],"SLIC":[14,30],"superpixels,":[15,31],"5-D":[16,65],"spectral":[17,66],"clustering,":[18],"and":[19,55,68,79],"boundary-focused":[20,69],"region":[21,70,83],"merging":[22,84],"are":[23],"adopted":[24],"in":[25],"the":[26,32,40,46,61,72,80,91],"proposed":[27,47,62,108],"algorithm.":[28],"With":[29,60],"original":[33],"problem":[36],"transformed":[38],"into":[39],"superpixel":[41],"labeling":[42],"problem.":[43],"It":[44],"makes":[45],"algorithm":[48],"more":[49,94],"efficient":[50],"than":[51],"pixel-based":[52],"algorithms":[54],"other":[56],"methods.":[59,112],"methods":[63],"clustering":[67,78],"merging,":[71],"position":[73],"information":[74],"used":[76],"for":[77,82],"threshold":[81],"can":[85],"be":[86],"adaptive.":[87],"These":[88],"make":[90],"result":[93],"consistent":[95],"with":[96],"human":[97],"perception.":[98],"simulations":[100],"on":[101],"Berkeley":[102],"database":[104],"show":[105],"that":[106],"our":[107],"method":[109],"outperforms":[110],"state-of-the-art":[111]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}