激光边缘图像局部模糊特征修复研究

Research on local fuzzy feature restoration of laser edge image

研究激光边缘图像局部模糊特征修复方法,改善激光图像质量、解决激光图像边缘信息损失严重的问题。通过激光图像的视觉信息采样模型采集激光边缘图像后,利用小波分析法提取确定激光边缘图像局部模糊特征并通过旋转变换实现激光图像配准后,通过虚拟视觉重构激光边缘图像的高分辨视觉信息同时,采用模糊信息增强方法增强处理激光边缘图像信息,利用多模态特征分解方法得出激光边缘图像局部模糊特征修复的模糊深度学习模型,通过该模型实现图像局部模糊特征修复。实验结果表明:该方法可以有效修复激光边缘图像局部模糊特征,修复精密度在93.8%以上,填补图像缺失信息,图像的成像质量较好。

In order to improve the quality of laser images and solve the problem of serious loss of edge information of laser images,the local fuzzy feature repair method of laser edge images is studied.After the laser edge image is collected by the visual information sampling model of laser imag,the local fuzzy features of the laser edge images are extracted by wavelet analysis,and the laser image registration is realized by rotation transformation.The high-resolution visual information of the laser edge image is reconstructed by virtual vision.At the same time,the fuzzy information enhancement method is used to enhance the laser edge image information.The fuzzy depth learning model of the laser edge image local fuzzy feature repair is obtained by modal feature decomposition method,and the image local fuzzy feature repair is realized by this model.The experimental results show that the method can effectively repair the local fuzzy features of the laser edge image.The precision of repair is more than 93.8%,fills in the missing information of the image,and the image quality is good.