| 種別 | 論文 |
| 主題 | A CRACK DETECTION METHOD FOR CONCRETE INFRASTRUCTURES BASED ON IMAGE PROCESSING TECHNIQUE AND GENETIC ALGORITHM |
| 副題 | |
| 筆頭著者 | CUONG NGUYEN（山口大学） |
| 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 | 中村秀明（山口大学） |
| 連名者4 | |
| 連名者5 | |
| キーワード | genetic algorithm、image processing、crack detection、concrete infrastructure |
| 巻 | 40 |
| 号 | 1 |
| 先頭ページ | 1785 |
| 末尾ページ | 1790 |
| 年度 | 2018 |
| 要旨 | This paper presents a crack detection method based on genetic algorithm to optimize the parameters of image processing technique (IPT). Morphological mathematic is applied to the pre-processing step in order to smooth the original image. Next, the global binarization and dilation-thinning operation is used for segmentation and noise removal. Moreover, the experimental results of the proposed method compared with other methods for concrete infrastructure surface images under various complex photometric conditions validate the reasonable accuracy in practical applications. |
| PDFファイル名 | 040-01-1292.pdf |