摘要
在图像/视频中自动检测和定位绝缘子是绝缘子故障诊断的重要前提,但是目前还没有高效的、成本较低的检测绝缘子方法。本文提出了一种基于纹理特征的绝缘子检测方法。首先,根据绝缘子的纹理性,利用图像的灰度共生矩阵方法产生出绝缘子的基本纹理特征;然后利用特征选择算法挑选出一组最有效、分类效果最好的特征;最后利用这组最有效特征可以准确检测到绝缘子。实验表明,该方法能够较好地在图像/视频中检测和定位绝缘子。
Auto-detection and insulator location is an important prerequisite for fault diagnose of insulators in the image or video, but there is no an efficient, lower-cost method now. This paper presents a detection method for insulators based on texture features. First, according to the texture of insulators, the basic texture features of insulators are produced using gray level co-occurrence matrix. Then, using feature selection algorithm, a set of the most effective and the best features for classification performance among them are selected. Finally, the insulators can be accurately detected through them. Experiments show that the method can better detect and locate insulators in the image/ video.
出处
《电气技术》
2010年第7期46-48,52,共4页
Electrical Engineering
关键词
纹理特征
特征选择
绝缘子
检测
定位
texture feature
feature selection
insulator
detection
location
