{"id":"https://openalex.org/W2117540263","doi":"https://doi.org/10.1109/cvprw.2006.171","title":"Robust Boundary DetectionWith Adaptive Grouping","display_name":"Robust Boundary DetectionWith Adaptive Grouping","publication_year":2006,"publication_date":"2006-07-10","ids":{"openalex":"https://openalex.org/W2117540263","doi":"https://doi.org/10.1109/cvprw.2006.171","mag":"2117540263"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2006.171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2006.171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06)","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/A5105299753","display_name":"Francisco Jos\u00e9 Pozuelos Estrada","orcid":null},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"F.J. Estrada","raw_affiliation_strings":["Centre for Vision Research, York University, Toronto, ONT, Canada","York University - Canad\u00e1"],"affiliations":[{"raw_affiliation_string":"Centre for Vision Research, York University, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"York University - Canad\u00e1","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103363810","display_name":"Allan D. Jepson","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"A.D. Jepson","raw_affiliation_strings":["Department of Comp. Science, University of Toronto, Toronto, ONT, Canada","University of Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Comp. Science, University of Toronto, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"University of Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5105299753"],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":0.3114,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61270153,"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":"184","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"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":0.998199999332428,"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":0.9965000152587891,"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":0.7243061661720276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7203394174575806},{"id":"https://openalex.org/keywords/gestalt-psychology","display_name":"Gestalt psychology","score":0.6912346482276917},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6817277669906616},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6052227020263672},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5656059384346008},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5125031471252441},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5100082159042358},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49217548966407776},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4281981587409973},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.42627960443496704},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3473176658153534},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.3353302478790283},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21339622139930725}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7243061661720276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7203394174575806},{"id":"https://openalex.org/C27362006","wikidata":"https://www.wikidata.org/wiki/Q272021","display_name":"Gestalt psychology","level":3,"score":0.6912346482276917},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6817277669906616},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6052227020263672},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5656059384346008},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5125031471252441},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5100082159042358},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49217548966407776},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4281981587409973},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.42627960443496704},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3473176658153534},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3353302478790283},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21339622139930725},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2006.171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2006.171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1528775006","https://openalex.org/W1558964055","https://openalex.org/W1992336406","https://openalex.org/W2005797502","https://openalex.org/W2060565253","https://openalex.org/W2074681261","https://openalex.org/W2095611100","https://openalex.org/W2107290706","https://openalex.org/W2108299137","https://openalex.org/W2117193984","https://openalex.org/W2117766076","https://openalex.org/W2118932613","https://openalex.org/W2119823327","https://openalex.org/W2120947612","https://openalex.org/W2131806657","https://openalex.org/W2142707712","https://openalex.org/W2143877328","https://openalex.org/W2160619799","https://openalex.org/W2327041912","https://openalex.org/W2568842486","https://openalex.org/W2735165623","https://openalex.org/W2914885528","https://openalex.org/W3020921755","https://openalex.org/W4254522979","https://openalex.org/W6633730487"],"related_works":["https://openalex.org/W1593175091","https://openalex.org/W3039810647","https://openalex.org/W4327521413","https://openalex.org/W823300309","https://openalex.org/W2130674020","https://openalex.org/W2385281989","https://openalex.org/W2752358874","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W1522196789"],"abstract_inverted_index":{"This":[0,36],"paper":[1],"presents":[2],"a":[3,20,33],"perceptual":[4],"grouping":[5,15,42,55,63,112],"algorithm":[6,80],"that":[7,68],"performs":[8],"boundary":[9],"extraction":[10],"on":[11,29,94],"natural":[12,95],"images.":[13],"Our":[14],"method":[16],"maintains":[17],"and":[18,59,84,88,102],"updates":[19],"model":[21,37],"of":[22,25,32,57,75],"the":[23,26,52,62,66,76,98],"appearance":[24],"image":[27],"regions":[28],"either":[30],"side":[31],"growing":[34],"contour.":[35],"is":[38,81],"used":[39],"to":[40,50,86,106],"change":[41],"behaviour":[43],"at":[44],"run-time,":[45],"so":[46],"that,":[47],"in":[48],"addition":[49],"following":[51],"traditional":[53],"Gestalt":[54],"principles":[56],"proximity":[58],"good":[60],"continuation,":[61],"procedure":[64],"favours":[65],"path":[67],"best":[69],"separates":[70],"two":[71],"visually":[72],"distinct":[73],"parts":[74],"image.":[77],"The":[78],"resulting":[79],"computationally":[82],"efficient":[83],"robust":[85],"clutter":[87],"texture.":[89],"We":[90],"present":[91],"experimental":[92],"results":[93,105],"images":[96],"from":[97],"Berkeley":[99],"Segmentation":[100],"Database":[101],"compare":[103],"our":[104],"those":[107],"obtained":[108],"with":[109],"three":[110],"alternate":[111],"methods.":[113]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
