{"id":"https://openalex.org/W1837460316","doi":"https://doi.org/10.1109/icip.2002.1040013","title":"Role of scale in partitioning shape","display_name":"Role of scale in partitioning shape","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W1837460316","doi":"https://doi.org/10.1109/icip.2002.1040013","mag":"1837460316"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2002.1040013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2002.1040013","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 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/A5069517420","display_name":"Reshmika Dhandapani","orcid":null},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"R. Dhandapani","raw_affiliation_strings":["Department of Engineer, Brown University, Providence, RI, USA","[Department of Engineering, Brown University, Providence, RI, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Engineer, Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]},{"raw_affiliation_string":"[Department of Engineering, Brown University, Providence, RI, USA]","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083461641","display_name":"Benjamin B. Kimia","orcid":null},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B.B. Kimia","raw_affiliation_strings":["Department of Engineer, Brown University, Providence, RI, USA","[Department of Engineering, Brown University, Providence, RI, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Engineer, Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]},{"raw_affiliation_string":"[Department of Engineering, Brown University, Providence, RI, USA]","institution_ids":["https://openalex.org/I27804330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069517420"],"corresponding_institution_ids":["https://openalex.org/I27804330"],"apc_list":null,"apc_paid":null,"fwci":0.5781,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.61532773,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"II","last_page":"565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9753999710083008,"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":0.9635000228881836,"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/curvature","display_name":"Curvature","score":0.779434323310852},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.7495278716087341},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5986286997795105},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5662757158279419},{"id":"https://openalex.org/keywords/tangent","display_name":"Tangent","score":0.5165342688560486},{"id":"https://openalex.org/keywords/salience","display_name":"Salience (neuroscience)","score":0.5053017735481262},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5015795230865479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4689476191997528},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.4614497423171997},{"id":"https://openalex.org/keywords/eulers-formula","display_name":"Euler's formula","score":0.41567856073379517},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3743722438812256},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3558109700679779},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30884435772895813},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.29629284143447876},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.14797601103782654}],"concepts":[{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.779434323310852},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.7495278716087341},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5986286997795105},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5662757158279419},{"id":"https://openalex.org/C138187205","wikidata":"https://www.wikidata.org/wiki/Q131251","display_name":"Tangent","level":2,"score":0.5165342688560486},{"id":"https://openalex.org/C108154423","wikidata":"https://www.wikidata.org/wiki/Q1469792","display_name":"Salience (neuroscience)","level":2,"score":0.5053017735481262},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5015795230865479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4689476191997528},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.4614497423171997},{"id":"https://openalex.org/C62884695","wikidata":"https://www.wikidata.org/wiki/Q184871","display_name":"Euler's formula","level":2,"score":0.41567856073379517},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3743722438812256},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3558109700679779},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30884435772895813},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.29629284143447876},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.14797601103782654},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2002.1040013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2002.1040013","pdf_url":null,"source":{"id":"https://openalex.org/S4210223844","display_name":"Proceedings - International Conference on Image Processing","issn_l":"1522-4880","issn":["1522-4880","2381-8549"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5400000214576721,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W123892526","https://openalex.org/W1501418839","https://openalex.org/W1554023438","https://openalex.org/W1558012644","https://openalex.org/W2086465792","https://openalex.org/W2152450746","https://openalex.org/W2165702358","https://openalex.org/W4249925456"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W3188646203","https://openalex.org/W136674370","https://openalex.org/W2909957174","https://openalex.org/W2105527480","https://openalex.org/W2052387497","https://openalex.org/W2050203848","https://openalex.org/W2348857372","https://openalex.org/W2058023181"],"abstract_inverted_index":{"We":[0,61,103],"present":[1,104],"three":[2,67],"distinct":[3],"improvements":[4],"to":[5,11,55,101],"the":[6,36,126,144,156],"neck":[7,45],"and":[8,31,44,95,111],"limb-based":[9],"approach":[10,65,106],"partitioning":[12,79,122,152,157],"of":[13,18,25,52,129,147],"visual":[14],"form,":[15],"where":[16,82,96],"pairs":[17],"negative":[19,92,114],"curvature":[20,93,115],"minima":[21],"with":[22,75],"good":[23],"continuation":[24],"their":[26],"respective":[27],"tangents":[28],"constitute":[29,38],"limbs,":[30],"locally":[32],"shortest":[33],"lines":[34],"through":[35,49],"shape":[37,153],"necks.":[39],"The":[40],"numerous":[41,97],"conflicting":[42],"limb":[43],"hypotheses":[46,98],"are":[47,87],"resolved":[48],"a":[50,70,120,148],"notion":[51],"salience,":[53],"leading":[54],"intuitive":[56],"parts":[57],"for":[58,151],"smooth":[59],"shapes.":[60],"improve":[62],"on":[63],"this":[64],"in":[66,78],"ways.":[68],"First":[69],"significant":[71],"difficulty":[72],"is":[73],"dealing":[74],"scale,":[76],"e.g.,":[77],"noisy":[80],"shapes":[81],"some":[83],"perceptually":[84],"valid":[85],"limbs":[86],"not":[88],"marked":[89],"by":[90],"salient":[91],"minima,":[94],"arise":[99],"due":[100],"noise.":[102],"an":[105,140],"which":[107],"can":[108],"reliably":[109],"construct":[110],"detect":[112],"coarse-scale":[113,127],"extremas.":[116],"Second,":[117],"we":[118,138],"devise":[119],"multiscale":[121],"scheme,":[123],"thus":[124,154],"minimizing":[125],"interaction":[128],"part-lines":[130],"arising":[131],"from":[132],"features":[133],"at":[134],"different":[135],"scales.":[136],"Third,":[137],"employ":[139],"Euler":[141],"spiral":[142],"as":[143],"part-curve":[145],"instead":[146],"straight":[149],"part-line":[150],"improving":[155],"results.":[158]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
