摘要
根据微通道板黑点检测原理与黑点光晕特征设计了一种检测方法,该方法利用圆提取技术实现荧光屏图像的半径和圆心提取,通过高斯拉普拉斯算子实现目标黑点粗检测。基于黑点在不同电压下外围呈现光晕的特征,利用对比度受限的直方图均衡化并结合阈值分割的光晕检测法实现黑点光晕的提取。测试结果表明,该方法可以将荧光屏划痕、灰尘与微通道板黑点有效区分,从而实现黑点的自动提取。
According to the black spot detection principle and black spot halo characteristics of the microchannel plate,a detection method was designed.The circle extraction technology was used to realize the radius and circle center extraction of the fluorescent screen image,and the gaussian Laplacian was used to realize the coarse detection of the target black spot.Based on the characteristics of black spot presenting halo in the periphery at different voltages,the black spot halo was extracted by using the histogram equalization with restricted contrast and combined with the threshold segmentation of the halo detection method.The test results show that the proposed method can effectively distinguish the fluorescent screen scratches,dust and black spots of microchannel plate,so as to realize the automatic extraction of black spots.
作者
丁姝晨
钱芸生
林焱剑
赵慧民
ING Shuchen;QIAN Yunsheng;LIN Yanjian;ZHAO Huimin(School of Electronic and Optical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China;Nanjing Branch of North Night Vision Technology Co.,Ltd.,Nanjing 211106,China)
出处
《应用光学》
CAS
CSCD
北大核心
2022年第6期1145-1152,共8页
Journal of Applied Optics
基金
装备预研兵器工业应用创新项目(627011103)。
关键词
微通道板
目视性能
疵病检测
光晕检测
阈值分割
microchannel plate
visual performance
defect detection
halo detection
threshold segmentation
