连接器表面裂纹检测方法研究  

Connector Surface Crack Detection Method

作　　者：郁文玺 徐贵力[1] Yu Wenxi;Xu Guili(College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,Jiangsu,China)

机构地区：[1]南京航空航天大学自动化学院,江苏南京210016

出　　处：《激光与光电子学进展》2022年第14期170-177,共8页Laser & Optoelectronics Progress

基　　金：国家自然科学基金(62073161)。

摘　　要：针对连接器表面裂纹人工检测操作繁琐、效率低的问题,提出一种基于机器视觉的连接器表面裂纹智能检测方法。首先,利用基于随机采样一致性的直线拟合方法对待检测区域下边界进行拟合,以定位待检区域和边界。其中,基于单一尺度的形态学运算方法无法有效提取到裂纹区域,根据裂纹特点,提出一种基于多尺度形态学运算的裂纹提取方法,对比实验结果表明,该方法具有良好效果,实现了对裂纹区域的粗提取。再根据裂纹结构特征,提出一种自适应阈值分割方法完成对裂纹区域的分割。最后,通过Blob分析统计目标连通域的位置信息及目标区域的灰度响应强度,完成对真伪裂纹的判别。所提方法最终实现对连接器表面裂纹的实时在线检测,检测准确率可达97.1%。To simplify the tedious and inefficient manual inspection for connector surface cracks,an intelligent inspection method for connector surface cracks based on machine vision is proposed.To find the region to be examined and the border,the lower boundary of the area to be inspected is first fitted using a fitting approach based on random sampling consistency.Among them,the morphological operation method based on single scale can not effectively extract the crack region.Based on the crack characteristics,this study proposes a crack extraction technique based on multiscale morphological operation,and the comparative experiment demonstrates that this method has a good result and accomplishes the coarse extraction for the fracture region.Then,according to the crack structure characteristics,an adaptive threshold segmentation method is proposed to complete the segmentation for the crack region.Finally,Blob analysis is used to statistically distinguish between genuine and false cracks based on the geographical information of the target connectivity domain and the gray-scale response intensity of the target area.Results show that the proposed method achieves real-time online detection for connector surface fractures with a detection accuracy of 97.1%.

关 键 词：图像处理 裂纹检测 灰度形态学 阈值分割 BLOB分析 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]