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| 标题 |
| 图像处理技术在钢轨表面缺陷检测和分类中的应用(18 卷) |
| 英文标题 |
| Application of image processing in defect detection and classification of rail surface |
| 摘要 |
| 采用图像处理、模式识别及机器视觉等理论,对现役钢轨缺陷进行检测和分类。完成自动提取缺陷图像和最小化缺陷图像,以减少处理量并降低存储空间需求,自动判断缺陷类别。文章对采集到的缺陷图像进行处理,实验结果证明该方法能够正确实现检测轨道表面缺陷检测,并具有一定的 |
| 作者 |
| 新闻作者:官 鑫,赵智雅,高晓蓉 |
| 关键字 |