Peng Zhitao, Chen Fengdong, Tang Jun, et al. Extracting multi-scale laser damage in optics on difference of Gaussian filter[J]. High Power Laser and Particle Beams, 2017, 29: 091003. doi: 10.11884/HPLPB201729.170066
Citation:
Peng Zhitao, Chen Fengdong, Tang Jun, et al. Extracting multi-scale laser damage in optics on difference of Gaussian filter[J]. High Power Laser and Particle Beams, 2017, 29: 091003. doi: 10.11884/HPLPB201729.170066
Peng Zhitao, Chen Fengdong, Tang Jun, et al. Extracting multi-scale laser damage in optics on difference of Gaussian filter[J]. High Power Laser and Particle Beams, 2017, 29: 091003. doi: 10.11884/HPLPB201729.170066
Citation:
Peng Zhitao, Chen Fengdong, Tang Jun, et al. Extracting multi-scale laser damage in optics on difference of Gaussian filter[J]. High Power Laser and Particle Beams, 2017, 29: 091003. doi: 10.11884/HPLPB201729.170066
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.