Estimating the position of parts of an automobile cowl cross bar assembly using CCD camera

Yongsoo Jang, Soon‐Geul Lee, D. Cha, Je-Hyung Moon
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Abstract

This paper realized an inspection system of the cowl cross assembly which is an automotive part using single CCD camera. Edge is extracted by Sobel operator after improving image quality with homomorphic filter. The unnecessary segments and the unnecessary edge elements are removed from the obtained edge image by labeling. The accurate center of the merged segment can be estimated using RHT (Randomized Hough Transform). Existence of defect can be decided by comparing the CAD information of the cowl cross assembly with the estimated center position. Efficiency of the proposed method was proven by accurate inspection result for various target images at the poor environment such as the real industrial field
利用CCD相机对汽车前罩横杆总成进行零件位置估计
本文利用单CCD摄像机实现了汽车整流罩十字总成的检测系统。通过同态滤波提高图像质量,利用Sobel算子提取边缘。通过标记去除边缘图像中不需要的部分和不需要的边缘元素。利用随机霍夫变换(RHT)可以估计合并后片段的准确中心。将前盖十字总成的CAD信息与预估的中心位置进行比较,可以判断是否存在缺陷。通过对实际工业现场等恶劣环境下的各种目标图像进行精确检测,验证了该方法的有效性
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