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Detecting Shape of Weld Defect Image on X-ray Film by Image Processing Applied Genetic Algorithm
https://repo.lib.tut.ac.jp/records/1154
https://repo.lib.tut.ac.jp/records/1154b134764c-c268-4568-8616-49af2989c06d
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
j13447653-0045-534 (1.0 MB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2013-06-18 | |||||
| タイトル | ||||||
| タイトル | Detecting Shape of Weld Defect Image on X-ray Film by Image Processing Applied Genetic Algorithm | |||||
| タイトル | ||||||
| タイトル | Detecting Shape of Weld Defect Image on X-ray Film by Image Processing Applied Genetic Algorithm | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| 著者 |
Aoki, Kimiya
× Aoki, Kimiya× Suga, Yasuo× AOKI, Kimiya× SUGA, Yasuo |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | 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's (or an inspector's) 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. | |||||
| 内容記述 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | ・rights：日本機械学会 ・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 ・relation：isVersionOf：http://ci.nii.ac.jp/naid/110004225643/ |
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| 書誌情報 |
JSME international journal. Series C, Mechanical systems, machine elements and manufacturing en : JSME international journal. Series C, Mechanical systems, machine elements and manufacturing 巻 45, 号 2, p. 534-542, 発行日 2002-06-15 |
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| 出版者 | ||||||
| 出版者 | 一般社団法人日本機械学会 | |||||
| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 13447653 | |||||
| 関連サイト | ||||||
| 識別子タイプ | URI | |||||
| 関連識別子 | http://ci.nii.ac.jp/naid/110004225643/ | |||||
| 関連名称 | CiNii | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Welding | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Image_Processing | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Nondestructive_Inspection | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Weld_Defects | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | X-ray_Film | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Genetic_Algorithm | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Welding | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Image_Processing | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Nondestructive_Inspection | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Weld_Defects | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | X-ray_Film | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Genetic_Algorithm | |||||
