一种紫外与可见光图像的距离自适应配准方法

为实现紫外与可见光图像的实时配准以检测电力设备局部放电情况,该文提出一种紫外与可见光图像的距离自适应配准方法。构建紫外与可见光图像配准参数标定系统,采集各距离的紫外与可见光待配准图像,对图像进行预处理后通过轮廓检测和圆心检测得到各点坐标,采用RANSAC算法得到最优仿射变换矩阵。构建电力设备现场实时图像配准系统,采集放电信号待配准图像,根据拍摄距离选取对应变换矩阵,实现紫外与可见光图像的配准、融合和显示。

In order to realize the real-time registration of ultraviolet and visible images to detect the partial discharge of power equipment,a distance adaptive registration method for ultraviolet and visible images is proposed in this paper.The ultraviolet and visible light image registration parameter calibration system is constructed,and the ultraviolet and visible light images of each distance are collected to be registered.After image preprocessing,the coordinates of each point are obtained by contour detection and center detection,and the optimal affine transformation matrix is obtained using RANSAC algorithm.The on-site real-time image registration system of power equipment is constructed,the discharge signal image to be registered is collected,and the corresponding transformation matrix is selected according to the shooting distance to realize the registration,fusion and display of ultraviolet and visible images.