基于互信息的紫外成像仪中图像配准研究

Image Registration in Ultraviolet Imager Based on Mutual Information

摘要:

紫外成像仪为实现放电点定位和电气设备故障诊断,需要对来自不同传感器的紫外与可见光图像进行配准。针对紫外与可见光图像成像原理差异较大,特征点提取及匹配困难的问题,文章提出一种基于互信息的紫外与可见光图像配准算法并将其应用到紫外成像仪中完成实时配准。首先计算紫外与可见光图像中的互信息,将互信息作为相似性测度,采用刚体变换模型对图像进行变换,然后通过1+1进化算法求取最优相似性测度时的空间变换参数而完成图像配准,并通过仿真和紫外成像仪样机验证了所提算法的有效性。

Abstract:

In order to achieve discharge point location and electrical equipment fault diagnosis, UV imagers need to register UV and visible light images from different sensors. Due to the large difference between the imaging principles of ultraviolet and visible light images and the difficulty in feature extraction and matching, a mutual image-based UV and visible image registration algorithm is proposed and applied to the UV imager for real-time registration. Firstly, the mutual information in the ultraviolet and visible light images is calculated. The mutual information is used as the similarity measure. The image is transformed by the rigid body transformation model. The image transformation parameters are obtained by the 1+1 evolutionary algorithm to obtain the spatial transformation parameters of the optimal similarity measure, and the effectiveness of the proposed algorithm is verified by simulation and UV imager.