{"created":"2023-05-15T11:44:16.547777+00:00","id":2527,"links":{},"metadata":{"_buckets":{"deposit":"2f1df978-3941-41c7-b76d-7151fbedbc48"},"_deposit":{"created_by":10,"id":"2527","owners":[10],"pid":{"revision_id":0,"type":"depid","value":"2527"},"status":"published"},"_oai":{"id":"oai:nuis.repo.nii.ac.jp:00002527","sets":["8:63:72"]},"author_link":["2875","2876"],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2005-03-22","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"178","bibliographicPageStart":"169","bibliographicVolumeNumber":"8","bibliographic_titles":[{"bibliographic_title":"新潟国際情報大学情報文化学部紀要"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"本研究では、濃淡画像をファジィ集合として取り扱うことにより、ファジィ集合を取り扱う理論が濃淡画像の処理に応用できることを応用する。まず、ファジィ集合を用いてファジィ位相を構成し、画像の内部・外部・境界の概念を定義する。次に、2値画像におけるモルフォロジーを拡張し、ファジィ理論によるモルフォロジーを導入する。これらの処理により、濃淡画像に対する処理が、2値画像に対する画像処理と同様に行うことが可能となる。","subitem_description_type":"Abstract"}]},"item_10002_heading_23":{"attribute_name":"見出し","attribute_value_mlt":[{"subitem_heading_banner_headline":"【情報システム編】","subitem_heading_language":"ja"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"新潟国際情報大学情報文化学部"}]},"item_10002_source_id_11":{"attribute_name":"書誌レコードID（NCID）","attribute_value_mlt":[{"subitem_source_identifier":"AA11231962","subitem_source_identifier_type":"NCID"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1343-490X","subitem_source_identifier_type":"ISSN"}]},"item_10002_version_type_20":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"河原, 和好"},{"creatorName":"カワハラ, カズヨシ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"2875","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Kawahara, Kazuyoshi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"2876","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2018-07-06"}],"displaytype":"detail","filename":"8_kawahara.pdf","filesize":[{"value":"1.0 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"8_kawahara.pdf","url":"https://nuis.repo.nii.ac.jp/record/2527/files/8_kawahara.pdf"},"version_id":"f95ca1d9-3fac-4682-b278-2647de3feb39"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"ファジィ理論を用いた画像の特徴抽出","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ファジィ理論を用いた画像の特徴抽出"},{"subitem_title":"Image feature extraction with fuzzy set theory","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"10","path":["72"],"pubdate":{"attribute_name":"公開日","attribute_value":"2010-12-15"},"publish_date":"2010-12-15","publish_status":"0","recid":"2527","relation_version_is_last":true,"title":["ファジィ理論を用いた画像の特徴抽出"],"weko_creator_id":"10","weko_shared_id":-1},"updated":"2023-05-15T12:17:23.967177+00:00"}