基于形态学的自动铺丝纤维铺放准确性检测
Automatic fiber placement accuracy detection based on morphology
曹节强 1李军利 2刘钢 3张立强1
作者信息
- 1. 上海工程技术大学机械与汽车工程学院,上海 201620
- 2. 上海工程技术大学机械与汽车工程学院,上海 201620;机械工业航空大型复杂薄壁构件智能制造技术重点实验室,上海 201620
- 3. 上海工程技术大学机械与汽车工程学院,上海 201620;上海交通大学四川研究院,成都 610041
- 折叠
摘要
自动铺丝质量检查既耗时又不充分,缺陷对比度低.对此,根据铺丝过程中的热特性,搭建丝束铺放准确性检测平台,结合形态学算法对缺陷红外图像特征进行纤维铺放准确性检测.首先进行形状相同尺度不同的结构元素的顶帽变换,然后提取每一组尺度下多尺度亮暗区域和相邻组尺度间的多尺度亮暗细节来增强图像;其次使用了多方向多尺度的结构元素和系数自调节的形态学边缘检测算法来获得丝束边缘位置.实验结果表明,该方法在减少图像噪声和增强图像的对比度之上平衡了边缘检测精度与抗噪性能之间的协调问题,有效检测了纤维铺放准确性,最大铺放误差不超过4.53％.
Abstract
Automatic fibex laying quality inspection is both time consuming and inadequate,with low defect contrast.In this re-gard,according to the thermal characteristics of the fibex tow laying process,a platform for fibex tow placement accuracy detection is constructed,and the morphological algorithm is combined with infrared image features of defects for fibex tow placement accura-cy detection.Firstly,the top-hat transform of structural elements with the same shape and different scales is carried out,and then the multi-scale bright and dark regions under each group of scales and multi-scale bright and dark details between adjacent groups of scales are extracted to enhance the image;secondly,the multi-directional and multi-scale structural elements and the morpho-logical edge detection algorithm with coefficients self-adjustment are used to obtain the location of filament bundle edges.The ex-perimental results show that the method balances the coordination problem between edge detection accuracy and antinoise per-formance on top of image noise reduction and image contrast enhancement,and effectively detects the fibex tow placement accura-cy with a maximum placement error of no more than 4.53％.
关键词
图像处理/自动铺丝/形态学/红外图像/缺陷检测Key words
image processing/automated fiber placement/morphology/infrared image/defect detecting引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据