{"id":"https://openalex.org/W2129011304","doi":"https://doi.org/10.1109/icip.2005.1530426","title":"Estimating object contours from binary edge images","display_name":"Estimating object contours from binary edge images","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2129011304","doi":"https://doi.org/10.1109/icip.2005.1530426","mag":"2129011304"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2005.1530426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1530426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","raw_type":"proceedings-article"},"type":"conference-paper","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/A5036841171","display_name":"Hiroyuki Tsuji","orcid":"https://orcid.org/0000-0002-6444-559X"},"institutions":[{"id":"https://openalex.org/I182069643","display_name":"Kanagawa Institute of Technology","ror":"https://ror.org/007gj5v75","country_code":"JP","type":"education","lineage":["https://openalex.org/I182069643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Tsuji","raw_affiliation_strings":["Department of Information and Computer Sciences, Kanagawa Institute of Technology, Atsugi, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Computer Sciences, Kanagawa Institute of Technology, Atsugi, Kanagawa, Japan","institution_ids":["https://openalex.org/I182069643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046001652","display_name":"Suguru Saito","orcid":"https://orcid.org/0000-0001-8635-3269"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Saito","raw_affiliation_strings":["Tokyo Institute of Technology, Graduate School of Information Science and Engineering, Meguro, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Graduate School of Information Science and Engineering, Meguro, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101959146","display_name":"Hiroki Takahashi","orcid":"https://orcid.org/0000-0002-7658-0246"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Takahashi","raw_affiliation_strings":["Tokyo Institute of Technology, Graduate School of Information Science and Engineering, Meguro, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Graduate School of Information Science and Engineering, Meguro, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103227956","display_name":"M. Nakajima","orcid":"https://orcid.org/0000-0002-1762-6814"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Nakajima","raw_affiliation_strings":["Tokyo Institute of Technology, Graduate School of Information Science and Engineering, Meguro, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Graduate School of Information Science and Engineering, Meguro, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2563,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50954167,"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":"III","last_page":"453"},"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/T10531","display_name":"Advanced Vision and Imaging","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/T12923","display_name":"Digital Image Processing Techniques","score":0.9995999932289124,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7633554339408875},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7586022615432739},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.6105790734291077},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.610083281993866},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.598197340965271},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5897184610366821},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.5886424779891968},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5585303902626038},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.5543750524520874},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5298920273780823},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4433121085166931},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3911079466342926},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3253616690635681},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32242846488952637},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28854912519454956},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27919355034828186}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7633554339408875},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7586022615432739},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.6105790734291077},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.610083281993866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.598197340965271},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5897184610366821},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.5886424779891968},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5585303902626038},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.5543750524520874},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5298920273780823},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4433121085166931},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3911079466342926},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3253616690635681},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32242846488952637},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28854912519454956},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27919355034828186},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2005.1530426","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2005.1530426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Image Processing 2005","raw_type":"proceedings-article"},{"id":"pmh:oai:t2r2.star.titech.ac.jp:00213087","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100402400","pdf_url":null,"source":{"id":"https://openalex.org/S4377196385","display_name":"Tokyo Tech Research Repository (Tokyo Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114531698","host_organization_name":"Tokyo Institute of Technology","host_organization_lineage":["https://openalex.org/I114531698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2097924771","https://openalex.org/W2143060676","https://openalex.org/W2155357271","https://openalex.org/W2906722476","https://openalex.org/W6681175869"],"related_works":["https://openalex.org/W2384347880","https://openalex.org/W4210537690","https://openalex.org/W2885157826","https://openalex.org/W2159463658","https://openalex.org/W2116510815","https://openalex.org/W2098360446","https://openalex.org/W2051067977","https://openalex.org/W2373164917","https://openalex.org/W2140201873","https://openalex.org/W2372440138"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,60,84,101],"new":[3],"method":[4,65],"of":[5,42,116],"estimating":[6],"object":[7,22,52,92,118],"contours":[8],"from":[9,54],"thresholded":[10],"binary":[11,43,75],"edge":[12,44,76],"images.":[13,77],"Our":[14],"work":[15],"is":[16,66],"motivated":[17],"by":[18,27],"the":[19,40,50,88,91,109,114,117,121],"edge-based":[20],"video":[21,33],"plane":[23],"(VOP)":[24],"generation":[25],"proposed":[26,64],"Meier,":[28],"targeted":[29],"at":[30],"MPEG-4":[31],"object-based":[32],"coding.":[34],"When":[35],"objects":[36],"are":[37],"detected":[38],"in":[39],"form":[41,59],"images,":[45],"we":[46,81],"have":[47],"to":[48,68,107,120],"estimate":[49],"complete":[51],"contour":[53,93,105,111,115],"edges":[55],"that":[56,90],"do":[57],"not":[58],"closed":[61],"contour.":[62],"The":[63],"designed":[67],"carry":[69],"out":[70],"this":[71],"task":[72],"using":[73],"only":[74],"To":[78],"achieve":[79],"this,":[80],"first":[82],"introduce":[83],"probability":[85,89,122],"field":[86],"representing":[87],"lies":[94],"on":[95],"each":[96],"pixel,":[97],"and":[98],"then":[99],"take":[100],"modified":[102],"geodesic":[103],"active":[104],"approach":[106],"make":[108],"initial":[110],"converge":[112],"with":[113],"according":[119],"field.":[123]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}