激光技术2024，Vol.48Issue(3)：303-311,9.DOI:10.7510/jgjs.issn.1001-3806.2024.03.002
基于图像处理的激光清洗飞机蒙皮特性和机制研究
Research on the characteristics and mechanism of laser cleaning aircraft skin based on image processing
摘要
Abstract
In order to avoid the problem of difficult direct observation and analysis of skin characteristics and mechanisms in aircraft skin images after laser cleaning,a method combining k-means clustering algorithm based on Lab color space and edge detection based on Canny operator was adopted to jointly analyze macroscopic and microscopic images of the paint layer.Firstly,perform color space conversion on the cleaned image,converting the original RGB color space into Lab color space,and perform image segmentation using k-means clustering algorithm.Then use the Canny operator to perform edge detection and extract edge information from the electron microscopy images at the junction of each paint layer.Then,study the characteristics and mechanisms of the processed images separately.Finally,the image processing results were validated through thermal stress analysis.The results indicate that,when laser energy density is 6.37 J/cm2 and 1.91 J/cm2,the top coat and primer of the aircraft skin can be completely removed by the laser.This study provides a reference for laser automatic paint removal.关键词
图像处理/激光清洗/k均值聚类/边缘检测/热应力Key words
image processing/laser cleaning/k-means clustering/edge detection/thermal stress分类
信息技术与安全科学引用本文复制引用
孟宇帆,张丽君,何长涛,肖婧,阳宁静,冯国英,韩敬华..基于图像处理的激光清洗飞机蒙皮特性和机制研究[J].激光技术,2024,48(3):303-311,9.基金项目
国家重点研发计划资助项目(2022YFB3606304) （2022YFB3606304）
国家自然科学基金委员会-中国工程物理研究院联合基金资助项目(U2030108) （U2030108）
四川省科技厅关键技术研究及应用基金资助项目(2021YFSY0027) （2021YFSY0027）
