{"id":"https://openalex.org/W2588246070","doi":"https://doi.org/10.1109/cisp-bmei.2016.7852730","title":"An error-controlled method for superpixel segmentation","display_name":"An error-controlled method for superpixel segmentation","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2588246070","doi":"https://doi.org/10.1109/cisp-bmei.2016.7852730","mag":"2588246070"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2016.7852730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7852730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5087154055","display_name":"Nannan Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Nannan Meng","raw_affiliation_strings":["College of Information Engineering Communication, University of China, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering Communication, University of China, Beijing, P. R. China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400497","display_name":"Meng Fang","orcid":"https://orcid.org/0000-0003-0793-9187"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Meng","raw_affiliation_strings":["College of Information Engineering Communication, University of China, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering Communication, University of China, Beijing, P. R. China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100357851","display_name":"Meng Chen","orcid":"https://orcid.org/0000-0001-9657-5383"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Chen","raw_affiliation_strings":["College of Information Engineering Communication, University of China, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering Communication, University of China, Beijing, P. R. China","institution_ids":["https://openalex.org/I75689368"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087154055"],"corresponding_institution_ids":["https://openalex.org/I75689368"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17725343,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":null,"first_page":"325","last_page":"329"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9991999864578247,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9975000023841858,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7703217267990112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7341820001602173},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6668131947517395},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6543781161308289},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.580718994140625},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.572913646697998},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5472351312637329},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5027003288269043},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.42639413475990295},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.41775646805763245},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4126321077346802},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4103667140007019}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7703217267990112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7341820001602173},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6668131947517395},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6543781161308289},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.580718994140625},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.572913646697998},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5472351312637329},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5027003288269043},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.42639413475990295},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.41775646805763245},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4126321077346802},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4103667140007019},{"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2016.7852730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7852730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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":19,"referenced_works":["https://openalex.org/W1508404128","https://openalex.org/W1884769238","https://openalex.org/W1999478155","https://openalex.org/W2003060733","https://openalex.org/W2010975286","https://openalex.org/W2067191022","https://openalex.org/W2073842936","https://openalex.org/W2081178133","https://openalex.org/W2097164998","https://openalex.org/W2109868644","https://openalex.org/W2118246710","https://openalex.org/W2119531662","https://openalex.org/W2121947440","https://openalex.org/W2124260943","https://openalex.org/W2159386314","https://openalex.org/W2162253476","https://openalex.org/W2293105860","https://openalex.org/W6630399218","https://openalex.org/W6653423199"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W4205800335","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W2386644571","https://openalex.org/W2372421320"],"abstract_inverted_index":{"Superpixel":[0],"segmentation":[1,80],"refers":[2],"to":[3,36,76,88,116,126,148],"represent":[4],"an":[5,43,59],"image":[6,44,47,123,143],"by":[7],"small":[8],"regions":[9],"composed":[10],"of":[11,99,107,120,140,152,160],"pixels":[12],"with":[13,39],"the":[14,69,91,100,105,118,121,127,138,149,158,161,165],"similar":[15],"characteristics,":[16],"which":[17],"can":[18,132,156],"carry":[19],"more":[20],"perceptual":[21],"and":[22,94,142],"semantic":[23],"meaning":[24],"than":[25],"their":[26],"simple":[27],"pixel":[28],"grid":[29],"counterparts.":[30],"Therefore,":[31],"it":[32],"is":[33,62,102,114],"very":[34],"important":[35],"distribute":[37],"superpixels":[38,141],"different":[40],"size":[41],"over":[42],"for":[45],"describing":[46],"details.":[48],"In":[49,146],"this":[50],"paper,":[51],"a":[52,73,78,134],"new":[53],"superpixel":[54],"generation":[55],"method":[56,71,155],"based":[57],"on":[58],"error-controlled":[60],"strategy":[61],"put":[63],"forward.":[64],"At":[65],"first,":[66],"we":[67,84],"use":[68],"SLIC":[70],"as":[72,104],"pretreatment":[74],"step":[75],"obtain":[77],"preliminary":[79],"image.":[81,166],"After":[82],"that,":[83],"set":[85],"two":[86,110],"thresholds":[87,101],"iteratively":[89],"perform":[90],"region":[92],"merging":[93,108],"mean":[95],"pooling":[96],"operations.":[97],"One":[98],"used":[103,115],"condition":[106],"in":[109,164],"superpixels.":[111],"The":[112],"other":[113],"control":[117],"convergence":[119],"whole":[122],"error.":[124],"According":[125],"experimental":[128],"results,":[129],"our":[130,154],"algorithm":[131],"fulfill":[133],"comparable":[135],"trade-off":[136],"between":[137],"number":[139],"details":[144],"representation.":[145],"addition":[147],"effective":[150],"distribution":[151],"superpixels,":[153],"keep":[157],"boundary":[159],"main":[162],"object":[163]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}