{"id":"https://openalex.org/W2063692428","doi":"https://doi.org/10.1109/icip.2010.5652339","title":"Contour detection using Binary Partition Trees","display_name":"Contour detection using Binary Partition Trees","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2063692428","doi":"https://doi.org/10.1109/icip.2010.5652339","mag":"2063692428"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5652339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image 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/A5108139995","display_name":"Jordi Pont-Tuset","orcid":null},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Jordi Pont-Tuset","raw_affiliation_strings":["Department of Signal Theory and Communications, Universitat Politecnica de Catalunya, Spain","Department of Signal Theory and Communications, Universitat Polit\u00e8cnica de Catalunya (UPC), Spain"],"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications, Universitat Politecnica de Catalunya, Spain","institution_ids":["https://openalex.org/I9617848"]},{"raw_affiliation_string":"Department of Signal Theory and Communications, Universitat Polit\u00e8cnica de Catalunya (UPC), Spain","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056889165","display_name":"Ferran Marqu\u00e9s","orcid":"https://orcid.org/0000-0001-8311-1168"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ferran Marques","raw_affiliation_strings":["Department of Signal Theory and Communications, Universitat Politecnica de Catalunya, Spain","Department of Signal Theory and Communications, Universitat Polit\u00e8cnica de Catalunya (UPC), Spain"],"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications, Universitat Politecnica de Catalunya, Spain","institution_ids":["https://openalex.org/I9617848"]},{"raw_affiliation_string":"Department of Signal Theory and Communications, Universitat Polit\u00e8cnica de Catalunya (UPC), Spain","institution_ids":["https://openalex.org/I9617848"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108139995"],"corresponding_institution_ids":["https://openalex.org/I9617848"],"apc_list":null,"apc_paid":null,"fwci":0.9561,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77221446,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1609","last_page":"1612"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation 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/T10052","display_name":"Medical Image Segmentation 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/T10824","display_name":"Image Retrieval and Classification 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980000257492065,"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":0.7530447840690613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.708075761795044},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5995393991470337},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5715407729148865},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5284281373023987},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5175384879112244},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.49037599563598633},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4748283326625824},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.45916518568992615},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.45586514472961426},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.4409445822238922},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.43865156173706055},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.43740737438201904},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4121236801147461},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3680828809738159},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13773846626281738},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1312096118927002}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7530447840690613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.708075761795044},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5995393991470337},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5715407729148865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5284281373023987},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5175384879112244},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.49037599563598633},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4748283326625824},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.45916518568992615},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.45586514472961426},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.4409445822238922},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.43865156173706055},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.43740737438201904},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4121236801147461},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3680828809738159},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13773846626281738},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1312096118927002},{"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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2010.5652339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image 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":13,"referenced_works":["https://openalex.org/W1518636435","https://openalex.org/W1997653423","https://openalex.org/W2086374833","https://openalex.org/W2104978358","https://openalex.org/W2110757589","https://openalex.org/W2115193009","https://openalex.org/W2116719896","https://openalex.org/W2119823327","https://openalex.org/W2121927366","https://openalex.org/W2139276606","https://openalex.org/W2145023731","https://openalex.org/W2146037576","https://openalex.org/W6631193057"],"related_works":["https://openalex.org/W2387003628","https://openalex.org/W123102278","https://openalex.org/W2081609930","https://openalex.org/W2365596436","https://openalex.org/W2128914210","https://openalex.org/W2083612662","https://openalex.org/W163453029","https://openalex.org/W2013077238","https://openalex.org/W2361795288","https://openalex.org/W2098360446"],"abstract_inverted_index":{"Contour":[0],"detection":[1,66],"is":[2,34],"a":[3,35,46,64],"hard,":[4],"challenging,":[5],"and":[6,24,28],"of":[7,49,85],"paramount":[8],"importance":[9],"problem":[10],"in":[11,51,79],"image":[12,26,38,52,72],"processing.":[13],"State-of-the-art":[14],"algorithms":[15],"are":[16],"approaching":[17],"human":[18],"performance":[19],"but":[20],"usually":[21],"entail":[22],"complex":[23],"tailored":[25],"models":[27],"arduous":[29],"training.":[30],"Binary":[31],"Partition":[32],"Tree":[33],"hierarchical":[36],"region-based":[37],"model":[39],"that":[40],"has":[41],"been":[42],"proven":[43],"to":[44],"have":[45],"wide":[47],"range":[48],"applications":[50],"filtering,":[53],"information":[54,77],"retrieval,":[55],"object":[56],"detection,":[57],"etc.":[58],"In":[59],"this":[60,70],"paper":[61],"we":[62],"propose":[63],"contour":[65,76,89],"technique":[67],"based":[68],"on":[69],"versatile":[71],"model,":[73],"extracting":[74],"the":[75,80,86],"available":[78],"tree":[81],"yet":[82],"outperforming":[83],"one":[84],"most":[87],"widely-used":[88],"detector.":[90]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}