{"id":"https://openalex.org/W2080642205","doi":"https://doi.org/10.1016/0262-8856(87)90050-3","title":"Design of optimal gaussian operators in small neighbourhoods","display_name":"Design of optimal gaussian operators in small neighbourhoods","publication_year":1987,"publication_date":"1987-08-01","ids":{"openalex":"https://openalex.org/W2080642205","doi":"https://doi.org/10.1016/0262-8856(87)90050-3","mag":"2080642205"},"language":"en","primary_location":{"id":"doi:10.1016/0262-8856(87)90050-3","is_oa":false,"landing_page_url":"https://doi.org/10.1016/0262-8856(87)90050-3","pdf_url":null,"source":{"id":"https://openalex.org/S177430994","display_name":"Image and Vision Computing","issn_l":"0262-8856","issn":["0262-8856","1872-8138"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Image and Vision Computing","raw_type":"journal-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/A5042058142","display_name":"E.R. Davies","orcid":"https://orcid.org/0000-0002-4171-3387"},"institutions":[{"id":"https://openalex.org/I184558857","display_name":"Royal Holloway University of London","ror":"https://ror.org/04g2vpn86","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I184558857"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"ER Davies","raw_affiliation_strings":["Machine Vision Group, Department of Physics, Royal Holloway & Bedford New College, Egham Hill, Egham, Surrey TW20 0EX, UK","Machine Vision Group, Department of Physics, Royal Holloway & Bedford New College. Egham Hill, Egham, Surrey TW20 0EX, UK#TAB#"],"affiliations":[{"raw_affiliation_string":"Machine Vision Group, Department of Physics, Royal Holloway & Bedford New College, Egham Hill, Egham, Surrey TW20 0EX, UK","institution_ids":["https://openalex.org/I184558857"]},{"raw_affiliation_string":"Machine Vision Group, Department of Physics, Royal Holloway & Bedford New College. Egham Hill, Egham, Surrey TW20 0EX, UK#TAB#","institution_ids":["https://openalex.org/I184558857"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5042058142"],"corresponding_institution_ids":["https://openalex.org/I184558857"],"apc_list":{"value":2270,"currency":"USD","value_usd":2270},"apc_paid":null,"fwci":1.9464,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.87289202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"5","issue":"3","first_page":"199","last_page":"205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9987999796867371,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9987999796867371,"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":0.9972000122070312,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9970999956130981,"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/gaussian","display_name":"Gaussian","score":0.741635262966156},{"id":"https://openalex.org/keywords/isotropy","display_name":"Isotropy","score":0.7251174449920654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5286954641342163},{"id":"https://openalex.org/keywords/anisotropy","display_name":"Anisotropy","score":0.5076049566268921},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.49703577160835266},{"id":"https://openalex.org/keywords/optimal-design","display_name":"Optimal design","score":0.47240394353866577},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40175771713256836},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3673398792743683},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15668320655822754},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11579695343971252},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0933789610862732}],"concepts":[{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.741635262966156},{"id":"https://openalex.org/C184050105","wikidata":"https://www.wikidata.org/wiki/Q273163","display_name":"Isotropy","level":2,"score":0.7251174449920654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5286954641342163},{"id":"https://openalex.org/C85725439","wikidata":"https://www.wikidata.org/wiki/Q466686","display_name":"Anisotropy","level":2,"score":0.5076049566268921},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49703577160835266},{"id":"https://openalex.org/C186394612","wikidata":"https://www.wikidata.org/wiki/Q7098942","display_name":"Optimal design","level":2,"score":0.47240394353866577},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40175771713256836},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3673398792743683},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15668320655822754},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11579695343971252},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0933789610862732},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/0262-8856(87)90050-3","is_oa":false,"landing_page_url":"https://doi.org/10.1016/0262-8856(87)90050-3","pdf_url":null,"source":{"id":"https://openalex.org/S177430994","display_name":"Image and Vision Computing","issn_l":"0262-8856","issn":["0262-8856","1872-8138"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Image and Vision Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1559640158","https://openalex.org/W1600276254","https://openalex.org/W1986643996","https://openalex.org/W2003370853","https://openalex.org/W2082666058","https://openalex.org/W2084134149","https://openalex.org/W2137514693","https://openalex.org/W2144256659","https://openalex.org/W2544995697","https://openalex.org/W2913090860","https://openalex.org/W3017143921","https://openalex.org/W4235944870","https://openalex.org/W4245479732","https://openalex.org/W6651155528","https://openalex.org/W6681447638"],"related_works":["https://openalex.org/W2097618123","https://openalex.org/W2486669035","https://openalex.org/W2015860364","https://openalex.org/W1965183937","https://openalex.org/W2002964458","https://openalex.org/W4293660770","https://openalex.org/W1995301894","https://openalex.org/W4237298715","https://openalex.org/W1501537957","https://openalex.org/W2925103490"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"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"}