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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 into the Automatic Recognition System for Piston Assembling
【摘要】 介绍了应用数字图像处理与识别技术检测活塞装配的质量问题。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。
【Abstract】 The paper mainly described the application of Pattern Recognition to inspect the assembling direction of piston. The piston Images were collected by CCD industrial camera in the assembly\--line. Then the object images would be 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.
- 【文献出处】 机电工程 ,Mechanical & Electrical Engineering Magazine , 编辑部邮箱 ,2004年03期
- 【分类号】TP391.4
- 【被引频次】6
- 【下载频次】158