Extracting multi-scale laser damage in optics on difference of Gaussian filter
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摘要: 提出了高斯差分滤波的多尺度损伤提取方法和流程，对大口径光学元件的损伤图像进行了处理，结果表明，该方法对微弱信号与强信号混杂有很好适应性，且能有效解决低信噪比光学元件损伤图像中的损伤提取难题，对于分辨率125 m、口径400 mm400 mm的光学元件损伤图像，该方法可以100％提取损伤图像中尺寸在50 m以上的所有损伤的种子，满足了大型激光装置安全运行的需要。Abstract: It is difficult to distinguish the laser damage from local surroundings by computer in the laser damage image which includes images with background noise, ghost reflections, different illumination and other sources of variation. Based on difference of Gaussian filter, we developed a new local area Signal-to-Noise ratio algorithm for extracting the seed of multi-scale laser damage in final optical images from a large laser system. This algorithm was used to extract the seed of flaws in the image where the field of view of a pixel is approximately 125 m, and captured the seed of flaws with diameter more than 50 m at 100% extraction rate.
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