摘要
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.
出处
《长春工业大学学报》
CAS
2004年第1期25-28,共4页
Journal of Changchun University of Technology
基金
吉林省科技厅科学基金资助项目(吉科合字第19971008号)
关键词
模板匹配
阈值分割
特征提取
template matching
threshold segmentation
feature extraction.