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太阳能帆板的平面度测量是卫星生产制造过程中的一个关键技术，现有的测量方法存在着精度差，效率低的问题。该文在基于实际工程课题的太阳能帆板平面度测量系统基础上，针对测量系统中光斑图像处理这一关键技术进行了详细的研究。对现有测量方法进行了比较与分析，介绍了测量系统的基本原理、图像采集系统设计过程中采取的主要措施、图像处理的具体方法与步骤和测量系统的基本组成。提出了一种新的快速滤波算法和光斑图像能量中心求取算法，大大提高了光斑图像能量中心的求取精度和实时性，提高了太阳能帆板平面度的测量精度。给出了光斑图像处理结果、静态测量重复性误差以及实际帆板的测量结果与分析，实验结果证明所采用的光斑图像处理方法可以满足对实际帆板测量精度的要求。
The flatness measurement of solar panels is a key technology in satellite manufacturing process. The existing measurement methods have the problems of poor accuracy and low efficiency. Based on the solar panel flatness measurement system based on the actual engineering project, the key technology of spot image processing in the measurement system is studied in detail. The existing measurement methods are compared and analyzed. The basic principles of the measurement system, the main measures taken in the image acquisition system design, the specific methods and steps of image processing and the basic components of the measurement system are introduced. A new fast filtering algorithm and algorithm of calculating the energy center of the spot image are proposed, which greatly improves the accuracy and real-time performance of the energy center of the spot image and improves the measurement accuracy of the flatness of the solar sailboard. The results of spot image processing, static measurement repeatability errors and actual windsurfing results are given. The experimental results show that the spot image processing method can meet the requirements of actual windsurfing measurement accuracy.