摘要
研究了一种基于图像分析绝缘子憎水性分级系统,介绍了系统各模块的功能。系统首先实现了对静态(序列)图像的实时采集,然后利用计算机图像处理技术对水珠进行识别,提取了水珠的特征,并在此基础上提取水珠图像的特征,最后根据这些特征利用SVM分类器对绝缘子憎水性进行分级。
An insulator hydrophobic classification system based on image analysis is proposeu, runcnon oi me system is introduced. First, real time images of beads are obtained. Then, these beads on the insulators are segmented and recognized, and features of beads are extracted. Next, features of image beads are extracted. At last, the SVM classifier is chosen to classify insulator hydrophilicity.
出处
《鄂州大学学报》
2007年第5期5-7,共3页
Journal of Ezhou University
关键词
憎水性
特征提取
边界跟踪
支持向量机
Hydrophobic
feature extraction
border following
support vector machine
