The heat flux loaded on the divertor is an important issue in tokamaks. At present, the heat flux on the divertor is calculated from the divertor surface temperature measured by the infrared (IR) camera. However, the movement of the field of view and the geometrical distortion are present in the IR images. Small movements occur with machine shaking during normal discharges, while large ones often arise at disruptions or the rapid variations in the magnetic field. As a result, it is difficult to obtain the real temperature evolution on the specified divertor surface from the IR images. In this paper, the scale invariant feature transform descriptors and K-means clustering have been applied for vibration correction on the IR videos in EAST. The projective transformation is used to correct the geometrical distortion in the IR images. The experimental results show that the proposed methods are efficient in compensating for image translations brought about by vibrations and for perspective distortions in the images, thereby allowing assignment of the IR emission-derived surface temperatures to the correct locations on the divertor surface.

负载在分流器上的热通量是托卡马克中的重要问题。目前，偏滤器上的热通量是通过红外（IR）摄像机测得的偏滤器表面温度来计算的。但是，IR图像中存在视场移动和几何变形。在正常放电过程中，机器震动会产生小的运动，而磁场破坏或磁场的快速变化通常会引起大的运动。结果，难以从IR图像获得指定的偏滤器表面上的实际温度变化。在本文中，尺度不变特征变换描述符和K-均值聚类已应用于EAST中IR视频的振动校正。投影变换用于校正IR图像中的几何变形。实验结果表明，所提出的方法可以有效补偿振动引起的图像平移和图像中的透视畸变，从而可以将派生自红外发射的表面温度分配给偏滤器表面上的正确位置。