机器视觉
灰度
计算机科学
自动光学检测
蜂巢
人工智能
计算机视觉
卫星
模板匹配
图像分割
匹配(统计)
目视检查
图像处理
分割
工程类
图像(数学)
材料科学
航空航天工程
复合材料
统计
数学
作者
Fenglong Yang,Aijing Ni,Bin Wang,Wangzhu Yu,Qing Guo,Jie Zhao,Zihui Cai,Lixia Liu,Wenjuan Xue,Bing Pan
摘要
A machine vision-based automatic inspection system for satellite honeycomb sandwich panel assembly compliance is designed through image segmentation technology based on 3D reconstruction and registration and contour extraction technology based on the grayscale image for the rapid measurement of the assembly compliance of inserts of the satellite honeycomb sandwich structural panels before the cover is closed. Matching and calculating the inspection data with the read CAD model to determine the wrong and missed installed embedded parts and styrofoam and calculate their position accuracy. The effectiveness of the method has been proven through validation tests on actual satellite honeycomb sandwich structural panel products, with over 300% improvement in efficiency compared with the traditional manual visual method.
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