{"created":"2025-01-19T01:20:11.722662+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00220148","sets":["1164:2735:10865:11002"]},"path":["11002"],"owner":"44499","recid":"220148","title":["亀裂検出の認識率改善に向けた Data Augmentation による影響"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-09-07"},"_buckets":{"deposit":"ecf362d8-ae38-4c4d-8759-f7cfec1b5a8d"},"_deposit":{"id":"220148","pid":{"type":"depid","value":"220148","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"亀裂検出の認識率改善に向けた Data Augmentation による影響","author_link":["575177","575180","575179","575174","575181","575176","575175","575178"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"亀裂検出の認識率改善に向けた Data Augmentation による影響"},{"subitem_title":"Effects of Data Augmentation to Improve Recognition Rates for Crack Detection","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2022-09-07","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"奈良女子大学"},{"subitem_text_value":"奈良女子大学"},{"subitem_text_value":"奈良女子大学"},{"subitem_text_value":"奈良女子大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Nara Women's University","subitem_text_language":"en"},{"subitem_text_value":"Nara Women's University","subitem_text_language":"en"},{"subitem_text_value":"Nara Women's University","subitem_text_language":"en"},{"subitem_text_value":"Nara Women's University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing 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史織"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"千代延, 未帆"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"飯田, 紗也香"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"高田, 雅美"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shiori, Ishikawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Miho, Chiyonobu","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Sayaka, Iida","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masami, Takata","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10505667","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8833","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本稿では，コンクリート表面上の亀裂を画像データから検出するための認識器における，認識率改善を目的としている．認識器を開発する場合，正面から綺麗に撮られた画像を学習データとして用いることが一般的である．そのため，正面から綺麗に撮れていないぼけ画像をテストデータとする場合，認識率が下がる．この認識率低下を改善するために，学習データに加工した画像を混ぜる．本稿では，亀裂検出手法として畳み込みニューラルネットワーク (Convolutional Neural Network : CNN) を用いる．また，データセットとして，ピントが合ったコンクリート亀裂画像を用意する．この亀裂画像に対して，Gaussian フィルタ，鮮鋭化処理，Canny エッジ検出器，Laplacian フィルタを用いて画像加工を行う．これらの加工のうち，Gaussian フィルタは，ぼけ画像を生成するために用いられる．実験の結果，学習データに加工した画像を加えて学習させることで，ぼけ画像に対する亀裂検出の認識率が向上することを確認する．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-09-07","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicVolumeNumber":"2022-MPS-140"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":220148,"updated":"2025-01-19T14:39:06.396103+00:00","links":{}}