{"id":"https://openalex.org/W1505038570","doi":"https://doi.org/10.1007/978-3-540-85920-8_12","title":"Measuring Shape Circularity","display_name":"Measuring Shape Circularity","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W1505038570","doi":"https://doi.org/10.1007/978-3-540-85920-8_12","mag":"1505038570"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-85920-8_12","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-85920-8_12","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5058842068","display_name":"Jovi\u0161a \u017duni\u0107","orcid":"https://orcid.org/0000-0002-1271-4153"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jovi\u0161a \u017duni\u0107","raw_affiliation_strings":["Computer Science, Exeter University, Harrison Building, Exeter, EX4 4QF, U.K","Computer Science, Exeter University, Exeter, U.K. EX4 4QF#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, Exeter University, Harrison Building, Exeter, EX4 4QF, U.K","institution_ids":["https://openalex.org/I23923803"]},{"raw_affiliation_string":"Computer Science, Exeter University, Exeter, U.K. EX4 4QF#TAB#","institution_ids":["https://openalex.org/I23923803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066941401","display_name":"Kaoru Hirota","orcid":"https://orcid.org/0000-0001-5347-6182"},"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":"Kaoru Hirota","raw_affiliation_strings":["Department of Computational Intelligence and Systems Science, Graduate School of Science and Engineering, Tokyo Institute of Technology, G3-49, 4259 Nagatsuta, Modori-ku, Yokohama, 226-8502, Japan","Department of Computational Intelligence and Systems Science, Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, Japan 226-8502"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Intelligence and Systems Science, Graduate School of Science and Engineering, Tokyo Institute of Technology, G3-49, 4259 Nagatsuta, Modori-ku, Yokohama, 226-8502, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Department of Computational Intelligence and Systems Science, Graduate School of Science and Engineering, Tokyo Institute of Technology, Yokohama, Japan 226-8502","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"94","last_page":"101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9840999841690063,"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":0.9840999841690063,"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":0.9796000123023987,"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":0.9735999703407288,"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/measure","display_name":"Measure (data warehouse)","score":0.77573561668396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6939102411270142},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5600703358650208},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.49780797958374023},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44250380992889404},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43700844049453735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35844868421554565},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.33197087049484253},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2762792110443115},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.10230857133865356},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07011115550994873}],"concepts":[{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.77573561668396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6939102411270142},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5600703358650208},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.49780797958374023},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44250380992889404},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43700844049453735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35844868421554565},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.33197087049484253},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2762792110443115},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.10230857133865356},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07011115550994873},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-540-85920-8_12","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-85920-8_12","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1965771970","https://openalex.org/W2013416776","https://openalex.org/W2014226503","https://openalex.org/W2019724552","https://openalex.org/W2027214577","https://openalex.org/W2030356345","https://openalex.org/W2051956072","https://openalex.org/W2055755574","https://openalex.org/W2056664221","https://openalex.org/W2082226306","https://openalex.org/W2120865793","https://openalex.org/W2144334573","https://openalex.org/W2159498975","https://openalex.org/W2321311140","https://openalex.org/W2340480757","https://openalex.org/W3011685483","https://openalex.org/W4240185200","https://openalex.org/W4256595559"],"related_works":["https://openalex.org/W4287391995","https://openalex.org/W3198892458","https://openalex.org/W2097033632","https://openalex.org/W2386767533","https://openalex.org/W2005376986","https://openalex.org/W2153763785","https://openalex.org/W1570643411","https://openalex.org/W4299818041","https://openalex.org/W1981533237","https://openalex.org/W2572214721"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
