{"_buckets": {"deposit": "e54fc199-c872-4e94-8089-88bdf424603a"}, "_deposit": {"created_by": 24, "id": "1154", "owners": [24], "pid": {"revision_id": 0, "type": "depid", "value": "1154"}, "status": "published"}, "_oai": {"id": "oai:repo.lib.tut.ac.jp:00001154", "sets": ["9"]}, "author_link": ["2350", "2349", "2347", "2348"], "item_10001_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2002-06-15", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "2", "bibliographicPageEnd": "542", "bibliographicPageStart": "534", "bibliographicVolumeNumber": "45", "bibliographic_titles": [{"bibliographic_title": "JSME international journal. Series C, Mechanical systems, machine elements and manufacturing"}, {"bibliographic_title": "JSME international journal. Series C, Mechanical systems, machine elements and manufacturing", "bibliographic_titleLang": "en"}]}]}, "item_10001_description_5": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "Several types of non-destructive testing methods are used for detecting weld defects. Because the X-ray radiographic testing method is particularly useful in inspecting the inside of a weld metal, it is often used in industry. However, since the number of skilled inspectors for X-ray radiographic testing has been gradually decreasing, recently, several methods to detect weld defects from films automatically have been investigated to improve the quality of the detection results. However, X-ray film images contain much noise, and defect images show very low contrast and various shapes in spite of the same kind of defect. Moreover, boundaries between a defect image and the background are unclear, making it difficult to automate the inspection of X-ray films. If the type of defect image were to be judged by an expert system or a neural network which learns the rules of professional inspectors, the boundaries of the defect image would have to be detected in a manner similar to recognition by a human\u0027s (or an inspector\u0027s) sense of vision. Therefore, in this study, a new image processing method applied genetic algorithms that were a method of optimization, was constructed and applied to the detection of defect boundaries in detail.", "subitem_description_type": "Abstract"}]}, "item_10001_description_6": {"attribute_name": "内容記述", "attribute_value_mlt": [{"subitem_description": "・rights：日本機械学会\n・rights：本文データは学協会の許諾に基づきCiNiiから複製したものである\n・relation：isVersionOf：http://ci.nii.ac.jp/naid/110004225643/\n\n", "subitem_description_type": "Other"}]}, "item_10001_publisher_8": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "一般社団法人日本機械学会"}]}, "item_10001_relation_17": {"attribute_name": "関連サイト", "attribute_value_mlt": [{"subitem_relation_name": [{"subitem_relation_name_text": "CiNii"}], "subitem_relation_type_id": {"subitem_relation_type_id_text": "http://ci.nii.ac.jp/naid/110004225643/", "subitem_relation_type_select": "URI"}}]}, "item_10001_source_id_9": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "13447653", "subitem_source_identifier_type": "ISSN"}]}, "item_10001_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": "Aoki, Kimiya"}], "nameIdentifiers": [{"nameIdentifier": "2347", "nameIdentifierScheme": "WEKO"}, {"nameIdentifier": "1000040324488", "nameIdentifierScheme": "NRID"}, {"nameIdentifier": "40324488", "nameIdentifierScheme": "e-Rad", "nameIdentifierURI": "https://kaken.nii.ac.jp/ja/search/?qm=40324488"}]}, {"creatorNames": [{"creatorName": "Suga, Yasuo"}], "nameIdentifiers": [{"nameIdentifier": "2348", "nameIdentifierScheme": "WEKO"}, {"nameIdentifier": "1000060051900", "nameIdentifierScheme": "NRID"}, {"nameIdentifier": "60051900", "nameIdentifierScheme": "e-Rad", "nameIdentifierURI": "https://kaken.nii.ac.jp/ja/search/?qm=60051900"}]}, {"creatorNames": [{"creatorName": "AOKI, Kimiya", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "2349", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "SUGA, Yasuo", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "2350", "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": "2013-06-18"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "j13447653-0045-534.pdf", "filesize": [{"value": "1.0 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_11", "mimetype": "application/pdf", "size": 1000000.0, "url": {"label": "j13447653-0045-534", "url": "https://repo.lib.tut.ac.jp/record/1154/files/j13447653-0045-534.pdf"}, "version_id": "7c838519-650f-49f7-8f5f-d2918614888c"}]}, "item_keyword": {"attribute_name": "キーワード", "attribute_value_mlt": [{"subitem_subject": "Welding", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Image_Processing", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Nondestructive_Inspection", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Weld_Defects", "subitem_subject_scheme": "Other"}, {"subitem_subject": "X-ray_Film", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Genetic_Algorithm", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Welding", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Image_Processing", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Nondestructive_Inspection", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Weld_Defects", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "X-ray_Film", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Genetic_Algorithm", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "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": "Detecting Shape of Weld Defect Image on X-ray Film by Image Processing Applied Genetic Algorithm", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Detecting Shape of Weld Defect Image on X-ray Film by Image Processing Applied Genetic Algorithm"}, {"subitem_title": "Detecting Shape of Weld Defect Image on X-ray Film by Image Processing Applied Genetic Algorithm", "subitem_title_language": "en"}]}, "item_type_id": "10001", "owner": "24", "path": ["9"], "permalink_uri": "https://repo.lib.tut.ac.jp/records/1154", "pubdate": {"attribute_name": "公開日", "attribute_value": "2013-06-18"}, "publish_date": "2013-06-18", "publish_status": "0", "recid": "1154", "relation": {}, "relation_version_is_last": true, "title": ["Detecting Shape of Weld Defect Image on X-ray Film by Image Processing Applied Genetic Algorithm"], "weko_shared_id": -1}