{"id":"https://openalex.org/W2147057466","doi":"https://doi.org/10.1145/1044588.1044653","title":"Edge based region growing","display_name":"Edge based region growing","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2147057466","doi":"https://doi.org/10.1145/1044588.1044653","mag":"2147057466"},"language":"en","primary_location":{"id":"doi:10.1145/1044588.1044653","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1044588.1044653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2004 ACM SIGGRAPH international conference on Virtual Reality continuum and its applications in industry - VRCAI '04","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/A5059351796","display_name":"Sophie Liu Xiao Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Sophie Liu Xiao Fan","raw_affiliation_strings":["Nanyang Technological University, Singapore","Nanyang Technological University (Singapore)"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University (Singapore)","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036553343","display_name":"Zhihong Man","orcid":"https://orcid.org/0000-0002-8338-2125"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhihong Man","raw_affiliation_strings":["Nanyang Technological University, Singapore","Nanyang Technological University (Singapore)"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University (Singapore)","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069327987","display_name":"Rashi Samur","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rashi Samur","raw_affiliation_strings":["Nanyang Technological University, Singapore","Nanyang Technological University (Singapore)"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University (Singapore)","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059351796"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.5466,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.70843392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"302","last_page":"302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9955999851226807,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/segmentation","display_name":"Segmentation","score":0.758922815322876},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.7275168895721436},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.7213841676712036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7164203524589539},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6975471377372742},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6952481269836426},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6484189033508301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6211731433868408},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5895167589187622},{"id":"https://openalex.org/keywords/morphological-gradient","display_name":"Morphological gradient","score":0.5174951553344727},{"id":"https://openalex.org/keywords/range-segmentation","display_name":"Range segmentation","score":0.5066476464271545},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.46725699305534363},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43969377875328064},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3483101725578308},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25132113695144653}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.758922815322876},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.7275168895721436},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7213841676712036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7164203524589539},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6975471377372742},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6952481269836426},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6484189033508301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6211731433868408},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5895167589187622},{"id":"https://openalex.org/C96133863","wikidata":"https://www.wikidata.org/wiki/Q6913458","display_name":"Morphological gradient","level":5,"score":0.5174951553344727},{"id":"https://openalex.org/C67561299","wikidata":"https://www.wikidata.org/wiki/Q7292710","display_name":"Range segmentation","level":5,"score":0.5066476464271545},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.46725699305534363},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43969377875328064},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3483101725578308},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25132113695144653}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1044588.1044653","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1044588.1044653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2004 ACM SIGGRAPH international conference on Virtual Reality continuum and its applications in industry - VRCAI '04","raw_type":"proceedings-article"},{"id":"pmh:oai:researchbank.swinburne.edu.au:85df63ea-5bdd-433b-adad-951274a51048/1","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.3/47348","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Virtual reality continuum and its applications: 2004 ACM SIGGRAPH International Conference on Virtual Reality Continuum and its Applications in Industry (VRCAI 2004), Singapore, 16-18 June 2004, pp. 302-305","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1895783412","https://openalex.org/W1966411054","https://openalex.org/W1969873106","https://openalex.org/W1972544340","https://openalex.org/W2003370853","https://openalex.org/W2113383467","https://openalex.org/W2133059825","https://openalex.org/W2145023731"],"related_works":["https://openalex.org/W2394279717","https://openalex.org/W2150504945","https://openalex.org/W2551987074","https://openalex.org/W2364031613","https://openalex.org/W326224813","https://openalex.org/W2553765490","https://openalex.org/W2359699469","https://openalex.org/W2162746041","https://openalex.org/W2360759360","https://openalex.org/W3196005494"],"abstract_inverted_index":{"Quite":[0],"often,":[1],"in":[2,14,104],"grey":[3],"level":[4],"image":[5],"segmentation,":[6],"the":[7,86,92,96,102],"objects":[8],"to":[9,39,91],"be":[10],"delineated":[11],"are":[12,66,77],"found":[13],"regions":[15,76],"of":[16,59,75,98,120],"non-uniform":[17,123],"illumination.":[18,124],"In":[19,45,83],"these":[20,43,80],"cases,":[21],"using":[22],"thresholds":[23,103],"derived":[24],"from":[25,79],"intensity-based":[26],"algorithms":[27],"cannot":[28],"yield":[29],"good":[30,114],"segmentation":[31,115],"performance.":[32],"Region":[33],"growing":[34,53],"techniques":[35],"have":[36],"been":[37],"shown":[38],"perform":[40],"well":[41],"under":[42],"situations.":[44],"this":[46,84],"paper,":[47,85],"a":[48],"novel":[49],"edge":[50,105,108],"based":[51],"region":[52,109],"method":[54],"is":[55,88],"presented.":[56],"Two":[57],"kinds":[58,74],"seeds":[60,81],"(pixels)":[61],"-":[62],"hot":[63],"and":[64,72,101,107],"cold,":[65],"defined":[67],"near":[68],"edges":[69],"(of":[70],"objects)":[71],"both":[73],"grown":[78],"simultaneously.":[82],"approach":[87],"not":[89],"sensitive":[90],"parameters,":[93],"for":[94,118],"example":[95],"sizes":[97],"different":[99],"operators":[100],"detection":[106],"detection.":[110],"This":[111],"technique":[112],"produces":[113],"results,":[116],"even":[117],"cases":[119],"images":[121],"with":[122]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}