| 種別 | 論文 |
| 主題 | A STUDY ON SEMI-AUTOMATIC CONCRETE CRACKS DETECTION USING INTERACTIVE GENETIC ALGORITHM |
| 副題 | |
| 筆頭著者 | Cuong NGUYEN（Yamaguchi University） |
| 連名者1 | 河村圭（山口大学） |
| 連名者2 | Amir TARIGHAT（Shahid Rajaee Teacher Training University） |
| 連名者3 | |
| 連名者4 | |
| 連名者5 | |
| キーワード | crack detection、genetic algorithm、image processing、遺伝的アルゴリズム、画像処理、ひび割れ抽出 |
| 巻 | 38 |
| 号 | 1 |
| 先頭ページ | 2061 |
| 末尾ページ | 2066 |
| 年度 | 2016 |
| 要旨 | Concrete surface crack detection is an important task of the inspection and diagnosis of concrete structures. This paper proposes a prototype software for semi-automatic crack detection from concrete surface images using an interactive genetic algorithm (iGA) and touch screen. The iGA is applied to optimize image processing parameters for each image with no knowledge of image processing techniques. Furthermore, the experimental results indicate that the proposed method has possibility of extracting crack with reasonable accuracy and working time. |
| PDFファイル名 | 038-01-1339.pdf |