图像识别技术在活塞装配自动识别系统中的应用

The Application of Image Recognition in the Automatic Recognition System for Piston Assembling

介绍了应用数字图像处理与识别技术检测活塞装配质量问题。针对在工作现场采用CCD摄像机采集的活塞图像,结合模板匹配、阈值分割、特征提取、模式识别等算法,通过适当的处理和分析,对活塞图像中目标文字进行自动检测与识别,最终实现了对活塞装配质量的机器自动识别。实践证明,该方法具有一定的快速性和实用性。

The application of pattern recognition in the inspection of the assembling quality of pistons is described. The piston Images were collected by a CCD industrial camera in the assembly-line. Then the object images were inspected and recognized automatically by using proper disposing and analyzing algorithms such as template matching , threshold segmentation , feature extraction and pattern (recognition) and so forth .The experiments have shown that this system is fast and practical.