{"created":"2023-05-15T12:05:40.734680+00:00","id":10370,"links":{},"metadata":{"_buckets":{"deposit":"cfd648c3-1723-49c4-94ed-c11de05fb4b5"},"_deposit":{"created_by":3,"id":"10370","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"10370"},"status":"published"},"_oai":{"id":"oai:iwate-u.repo.nii.ac.jp:00010370","sets":["1515:1519"]},"author_link":["64292","64291","64287","64290","64288","64289"],"item_16_alternative_title_23":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"An Effective Extraction Method of Tangent Information from Boundary Images"}]},"item_16_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2005-01-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"35","bibliographicPageStart":"27","bibliographicVolumeNumber":"34","bibliographic_titles":[{"bibliographic_title":"画像電子学会誌"}]}]},"item_16_date_6":{"attribute_name":"登録日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2015-03-04"}]},"item_16_description_12":{"attribute_name":"Abstract","attribute_value_mlt":[{"subitem_description":"入力画像から各エッジ点位置での接線情報を正確に抽出することは効率的な図形検出法を構成する上で重要な課題であるが，従来手法の多くは濃淡画像に対する微分処理を基本としており，雑音や標本化誤差の影響を受けやすいといった問題があった．本稿では，2値のエッジ画像(輪郭線画像)から各エッジ点位置における接線情報をロバストに抽出するための手法について述べる．具体的には，窓内のエッジ点列に対してHough変換的な投票処理に基づいて直線または円による曲線当てはめを行い，その結果をロバスト推定の一種であるM推定法1)を用いて反復的に補正して，得られた当てはめ曲線から接線情報を抽出するという手法を新たに提案する．評価実験の結果から，提案手法はエッジ点列が不連続であったり，雑音が存在していても安定して接線情報を抽出でき，更に，曲率が大きいエッジ点列部分に対してもある程度対処可能な手法であることが確認できた．","subitem_description_type":"Other"},{"subitem_description":"In developing an effective method to detect arbitrary two-dimensional shapes, it is an important research subject how to precisely extract tangent information at each edge pixel from a boundary image. There have been numerous tangent-extraction methods until now, but most of them cannot extract tangents well because they are based on the differential operation of a local 3 x 3 mask and then they are strongly influenced by noises or sampling errors of an input gray image. This paper proposes a new method to extract tangent information directly from a boundary image. In our method, we fit an analog line or a circle into local edge points by using a Hough-based voting approach and get parameters of its equation. And then, we update the parameters by using an M-estimation technique known as a robust estimator and determine a tangent value. Experimental results show that our method performs effectively and stably even if there exist random noises or discontinuous parts in boundary images. Furthermore it is applicable to edge parts having comparatively large curvatures.\nKey words: tangent extraction, boundary image, M-estimation, curve-fitting, voting approach.","subitem_description_type":"Other"}]},"item_16_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"64290","nameIdentifierScheme":"WEKO"}],"names":[{"name":"KIMURA, Akio"}]},{"nameIdentifiers":[{"nameIdentifier":"64291","nameIdentifierScheme":"WEKO"}],"names":[{"name":"AKETO, Takeshi"}]},{"nameIdentifiers":[{"nameIdentifier":"64292","nameIdentifierScheme":"WEKO"}],"names":[{"name":"WATANABE, Takashi"}]}]},"item_16_publisher_14":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"一般社団法人　画像電子学会"}]},"item_16_rights_18":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"© 2005 一般社団法人 画像電子学会"}]},"item_16_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0285-9831","subitem_source_identifier_type":"ISSN"}]},"item_16_text_4":{"attribute_name":"著者(機関)","attribute_value_mlt":[{"subitem_text_value":"岩手大学工学部情報システム工学科"},{"subitem_text_value":"日本電気通信システム株式会社"},{"subitem_text_value":"岩手大学工学部情報システム工学科"}]},"item_16_version_type_27":{"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":"木村, 彰男"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"明戸, 剛"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"渡辺, 孝志"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2016-11-14"}],"displaytype":"detail","filename":"iieej-v34n1p27-35.pdf","filesize":[{"value":"1.2 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"iieej-v34n1p27-35.pdf","url":"https://iwate-u.repo.nii.ac.jp/record/10370/files/iieej-v34n1p27-35.pdf"},"version_id":"69a2c1cc-b8e1-4200-858d-cee7f8ae9346"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"接線抽出","subitem_subject_scheme":"Other"},{"subitem_subject":"エッジ画像","subitem_subject_scheme":"Other"},{"subitem_subject":"M推定","subitem_subject_scheme":"Other"},{"subitem_subject":"曲線当てはめ","subitem_subject_scheme":"Other"},{"subitem_subject":"投票処理","subitem_subject_scheme":"Other"},{"subitem_subject":"tangent extraction","subitem_subject_scheme":"Other"},{"subitem_subject":"boundary image","subitem_subject_scheme":"Other"},{"subitem_subject":"M-estimation","subitem_subject_scheme":"Other"},{"subitem_subject":"curve-fitting","subitem_subject_scheme":"Other"},{"subitem_subject":"voting approach","subitem_subject_scheme":"Other"}]},"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":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"エッジ画像から接線情報を抽出する一手法","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"エッジ画像から接線情報を抽出する一手法"}]},"item_type_id":"16","owner":"3","path":["1519"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-03-04"},"publish_date":"2015-03-04","publish_status":"0","recid":"10370","relation_version_is_last":true,"title":["エッジ画像から接線情報を抽出する一手法"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-05-16T11:35:35.735280+00:00"}