注塑产品在线检测的图像处理系统设计与研究

针对注塑产品检测中需要精密的机械装置实现定位的问题,对运用图像处理系统来完成其缺陷检测时所需的定位、配准及判断等方面进行了研究,对进行缺陷检测的图像处理系统流程进行了归纳,提出了一种通过对比图像的直线参数,并结合形心位置获得用于矫正待检图像位置的旋转量,再通过Hough变换测得的直线端点参数获得矫正待检图像的平移量,并结合基于FFT的相关运算来辅助确认平移量,最终根据经腐蚀运算的差影图像中各连通区域的面积判断产品是否存在缺陷的图像处理软件系统。利用Matlab对该系统进行了实现,并使用多种待检图像与模板图像进行对比测试。研究结果表明,该系统兼顾实时性和精确性,所设计的图像处理软件系统能够在廉价的低精度机械定位装置上实现注塑产品的在线检测。

Design and research of injection products online detection image processing system

In order to simplify the precision instrument used in injection products detection,the image processing system used in defect detection was investigated. Based on the analysis of defect detection procedure, the concept of this image processing system was established. By comparing the difference between linear parameters in standard image and collected image of injection products, the amount of rotation could be got with the help of the image centroid. The amount of offset was measured by the parameter of line end point in Hough transform or correlation calculation based on FFT. Finally, whether the product was defective was judged by the regional connectivity. Based on the simulation of Matlab and comparison between different images, the results demonstrate that, this program took into account the timeliness and accuracy of the system to meet the requirements of online detection of injection molding, and thus it can substitute the expensive mechanical structure of positioning devices.