摘要
飞机蒙皮的铆接质量是影响飞机蒙皮性能的重要指标,在分析了蒙皮铆接质量检测要素的基础上,构建了飞机蒙皮铆接质量的视觉检测系统。通过分析视觉检测系统中图像分割方法的特点,使用改进遗传算法与OSTU方法相结合对蒙皮图像进行分割,取得了较好的分割效果,并在分割图像基础上,介绍了铆钉特征的提取方法以及检测要素的获取方法。
The riveting quality of aircraft skin is an important index to influence the perlbrmance of aircraft skin. On the basis of analyzing the elements of the riveting quality inspection of the skin, a visual inspection system for the riveting quality of aircraft skin is built. By analyzing the characteristics of image segmentation method in visual inspection system, we use a method that combine improved genetic algorithm with OSTU method to segment the aircraft skin image and get good segmentation results, and based on the segmented images, this paper introduces the method of extracting rivet feature and the way to obtain the detecting elements.
出处
《航空制造技术》
2017年第6期88-91,共4页
Aeronautical Manufacturing Technology
基金
四川省科技支撑计划资助项目(2014GZ0122
2015GZ0001)
关键词
铆接质量
视觉检测
OSTU
遗传算法
Riveting quality
Visual inspection: OTSU
Genetic algorithm