基于数学形态学的电晕紫外图像分割的研究

紫外成像是检测高压设备早期电晕放电的一种有效方法。提取紫外图像中的放电区域轮廓可获得放电形态,有助于定性或定量研究放电现象。根据电晕紫外图像的特点,采用了二值数学形态学方法有效地去除了离散放电点和噪声点,提取了紫外图像中的主放电区域,采用区域标记算法和多区域轮廓跟踪算法得到了各放电区域的轮廓及轮廓点的坐标,计算得到了各放电区域面积、周长和直径等参数。实际应用验证了所提方法的有效性。

Study of corona UV image segmentation and its application based on mathematical morphology

UV imaging is an effective method to detect the early high voltage equipment corona discharge,to extract the UV image discharge region can obtain the contour.It helps us to study the corona discharge qualitatively and quantitatively.According to the discharge UV image feature,Using mathematical morphology algorithm,the noise and discrete discharge image are filtered effectively,and the main discharge regions are extracted,Using region labeling and the multi region boundary tracing algorithm,the discharge re...