{"id":"https://openalex.org/W2010426345","doi":"https://doi.org/10.1186/1687-5281-2011-14","title":"Efficient scan mask techniques for connected components labeling algorithm","display_name":"Efficient scan mask techniques for connected components labeling algorithm","publication_year":2011,"publication_date":"2011-10-06","ids":{"openalex":"https://openalex.org/W2010426345","doi":"https://doi.org/10.1186/1687-5281-2011-14","mag":"2010426345"},"language":"en","primary_location":{"id":"doi:10.1186/1687-5281-2011-14","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2011-14","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2011-14","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2011-14","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085540167","display_name":"Phaisarn Sutheebanjard","orcid":"https://orcid.org/0000-0003-4760-295X"},"institutions":[{"id":"https://openalex.org/I114432228","display_name":"Siam University","ror":"https://ror.org/04j3saz95","country_code":"TH","type":"education","lineage":["https://openalex.org/I114432228"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Phaisarn Sutheebanjard","raw_affiliation_strings":["Graduate School of Information Technology, Siam University, 38 Petchkasem Road, Phasi-charoen, Bangkok, 10160, Thailand","Graduate School of Information Technology, Siam University, Phasi-charoen, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Technology, Siam University, 38 Petchkasem Road, Phasi-charoen, Bangkok, 10160, Thailand","institution_ids":["https://openalex.org/I114432228"]},{"raw_affiliation_string":"Graduate School of Information Technology, Siam University, Phasi-charoen, Thailand","institution_ids":["https://openalex.org/I114432228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112268303","display_name":"Wichian Premchaiswadi","orcid":null},"institutions":[{"id":"https://openalex.org/I114432228","display_name":"Siam University","ror":"https://ror.org/04j3saz95","country_code":"TH","type":"education","lineage":["https://openalex.org/I114432228"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Wichian Premchaiswadi","raw_affiliation_strings":["Graduate School of Information Technology, Siam University, 38 Petchkasem Road, Phasi-charoen, Bangkok, 10160, Thailand","Graduate School of Information Technology, Siam University, Phasi-charoen, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Technology, Siam University, 38 Petchkasem Road, Phasi-charoen, Bangkok, 10160, Thailand","institution_ids":["https://openalex.org/I114432228"]},{"raw_affiliation_string":"Graduate School of Information Technology, Siam University, Phasi-charoen, Thailand","institution_ids":["https://openalex.org/I114432228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5085540167"],"corresponding_institution_ids":["https://openalex.org/I114432228"],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":2.1929,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.89082284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2011","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":1.0,"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/T12923","display_name":"Digital Image Processing Techniques","score":1.0,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9933000206947327,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9876000285148621,"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/tree","display_name":"Tree (set theory)","score":0.7213912010192871},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7202076315879822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6861000061035156},{"id":"https://openalex.org/keywords/connected-component-labeling","display_name":"Connected-component labeling","score":0.6152768135070801},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.550940990447998},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5320032238960266},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.5130161643028259},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5080108642578125},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5064064264297485},{"id":"https://openalex.org/keywords/connected-component","display_name":"Connected component","score":0.4731748402118683},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44440701603889465},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4433516263961792},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.43610718846321106},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3477534055709839},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28090161085128784},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.1107160747051239}],"concepts":[{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.7213912010192871},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7202076315879822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6861000061035156},{"id":"https://openalex.org/C58737948","wikidata":"https://www.wikidata.org/wiki/Q3136397","display_name":"Connected-component labeling","level":5,"score":0.6152768135070801},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.550940990447998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5320032238960266},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.5130161643028259},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5080108642578125},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5064064264297485},{"id":"https://openalex.org/C193435613","wikidata":"https://www.wikidata.org/wiki/Q2997928","display_name":"Connected component","level":2,"score":0.4731748402118683},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44440701603889465},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4433516263961792},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.43610718846321106},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3477534055709839},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28090161085128784},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.1107160747051239},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1186/1687-5281-2011-14","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2011-14","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2011-14","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1186/1687-5281-2011-14","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2011-14","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2011-14","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6899999976158142,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2010426345.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W119114865","https://openalex.org/W1514875444","https://openalex.org/W1622620102","https://openalex.org/W1990491759","https://openalex.org/W2021135075","https://openalex.org/W2037320310","https://openalex.org/W2039002332","https://openalex.org/W2053145534","https://openalex.org/W2068113013","https://openalex.org/W2071355008","https://openalex.org/W2109868644","https://openalex.org/W2120646872","https://openalex.org/W2129042353","https://openalex.org/W2130452018","https://openalex.org/W2133059825","https://openalex.org/W2133431834","https://openalex.org/W2134520339","https://openalex.org/W2158240273","https://openalex.org/W2521769738","https://openalex.org/W2521795527","https://openalex.org/W2539548808","https://openalex.org/W2904250082","https://openalex.org/W4250503569","https://openalex.org/W4256451422","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1568952724","https://openalex.org/W1568383588","https://openalex.org/W2606438808","https://openalex.org/W1980767234","https://openalex.org/W2378232816","https://openalex.org/W2170080636","https://openalex.org/W2043403682","https://openalex.org/W2898666172","https://openalex.org/W4301372113","https://openalex.org/W2766329551"],"abstract_inverted_index":{"Block-based":[0],"connected":[1,13,62,72],"components":[2,14,63,73],"labeling":[3],"is":[4,24,93,180],"by":[5],"far":[6],"the":[7,12,21,42,76,81,86,89,111,114,118,135,139,144,159,177,186,190],"fastest":[8],"algorithm":[9,28],"to":[10,56,95,133,182],"label":[11],"in":[15,171],"2D":[16],"binary":[17],"images,":[18],"especially":[19,175],"when":[20,176],"image":[22],"size":[23],"quite":[25],"large.":[26],"This":[27,53],"produces":[29,147],"a":[30,45,58,96,148,162],"decision":[31,98,149],"tree":[32,46,126,130,150,163],"that":[33],"contains":[34],"211":[35],"leaf":[36,153],"nodes":[37,154],"with":[38,155],"14":[39],"levels":[40,157],"for":[41,61,71,109,158],"depth":[43,50,127,160,167],"of":[44,51,107,113,161,168,189],"and":[47,80,129,164],"an":[48,124,165],"average":[49,125,166],"1.5923.":[52],"article":[54],"attempts":[55],"provide":[57],"faster":[59,172],"method":[60,116,146],"labeling.":[64],"We":[65,100,121],"propose":[66],"two":[67],"new":[68],"scan":[69,78,83,91],"masks":[70],"labeling,":[74],"namely,":[75],"pixel-based":[77],"mask":[79,92],"block-based":[82,90],"mask.":[84],"In":[85],"final":[87],"stage,":[88],"transformed":[94],"near-optimal":[97],"tree.":[99],"conducted":[101],"comparative":[102],"experiments":[103],"using":[104],"different":[105],"sources":[106],"images":[108],"examining":[110],"performance":[112,136],"proposed":[115,145],"against":[117],"existing":[119,140],"methods.":[120,141],"also":[122],"performed":[123],"analysis":[128,132],"balance":[131],"consolidate":[134],"improvement":[137],"over":[138],"Most":[142],"significantly,":[143],"containing":[151],"86":[152],"12":[156],"1.4593,":[169],"resulting":[170],"execution":[173],"time,":[174],"foreground":[178],"density":[179,188],"equal":[181],"or":[183],"greater":[184],"than":[185],"background":[187],"images.":[191]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
