| 商俊平,李储欣,陈亮.基于视觉的绝缘子定位与自爆缺陷检测[J].电子测量与仪器学报,2017,31(6):844-849 |
| 基于视觉的绝缘子定位与自爆缺陷检测 |
| Location and detection for self explode insulator based on vision |
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| DOI：10.13382/j.jemi.2017.06.005 |
| 中文关键词: 绝缘子 定位 自爆缺陷检测 欧氏距离 |
| 英文关键词:insulator location self explode detection Euclidean distance |
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| 摘要点击次数: 2951 |
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| 中文摘要: |
| 设计了一种绝缘子识别定位与自爆缺陷检测方法。识别定位算法首先使用最大类间方差法对绝缘子进行分割，然后提取绝缘子不变矩特征值，最后使用Adaboost分类器定位绝缘子位置。针对自爆绝缘子的形状特点，设计了计算相邻绝缘子的欧氏距离的检测方法。自爆缺陷检测方法在处理多个自爆点时检测效果较好，准确率达到87%。通过实验得出，方法准确率较好，更加适合在实际场景中应用。 |
| 英文摘要: |
| A method for insulator location and self explode detection is designed. The recognition and location algorithm firstly uses the Otsu method to segment the insulator, the moment invariants of insulators are extracted. Finally, Adaboost classifier is used to locate the insulator. According to the shape features of self explode insulator, a detection method is designed by calculating Euclidean distance of adjacent insulators. The self explode detection method works well in dealing with multiple explosion point. The method accurate rate reached 87%. Through the experiment, the accuracy of this method is better, and it is more suitable for practical application. |
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