基于机器视觉的滑动轴承缺陷检测系统设计

发布时间：2019-06-30 22:01

【摘要】：针对滑动轴承生产过程中存在的检测速度慢、自动化水平低、检测精度低等问题,提出一种基于机器视觉的滑动轴承内表面缺陷检测系统的设计方案,实现了轴承体的自动检测功能。首先设计了一种实验检测平台用于获取滑动轴承内表面的图像;通过基于形状的模板匹配算法对预处理后的图像进行匹配,实现对目标物体与缺陷区域的快速定位;为了实现对缺陷的提取,提出了一种基于区域灰度值的图像分割方法与基于区域形态学处理的特征提取方法。实验表明,系统的检测效果与传统的检测方法相比,具有明显的优越性,为滑动轴承内表面检测提供了新的方法。
[Abstract]:In order to solve the problems existing in the production process of sliding bearing, such as slow detection speed, low automation level and low detection accuracy, a design scheme of sliding bearing inner surface defect detection system based on machine vision is proposed, and the automatic detection function of bearing body is realized. Firstly, an experimental detection platform is designed to obtain the image of the inner surface of the sliding bearing; the preprocessed image is matched by the shape-based template matching algorithm to realize the fast location of the target object and the defect area; in order to realize the defect extraction, an image segmentation method based on region gray value and a feature extraction method based on region morphology processing are proposed. The experimental results show that compared with the traditional detection method, the detection effect of the system has obvious advantages, and provides a new method for the inner surface detection of sliding bearing.
【作者单位】：江苏大学机械工程学院;
【分类号】：TH133.31;TP391.41

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