摘要
为了提高材料试验机测量值的读取效率、降低人工操作造成的误差和减轻操作员的工作强度,提出一种具有较强鲁棒性的实时材料试验机测量值自动识别方法,利用一系列图像处理技术对材料试验机测量值图像进行识别。实验证明识别准确率和识别速度完全满足实际需求。这里创新地对数字切分中处理断裂数字的合并和粘连数字的分割采用二次阈值化分割法。
In order to improve the reading efficiency of values measured by material testing machine,reduce human error caused by the operators and lighten the working intensity of the operators,a robust real-time automatic identification method of values measured by material testing machine is presented in this paper. A series of image processing technologies were adopted to identify the digital images measured by material testing machine. The experimental results show that the recognition accuracy and speed can fully meet the actual needs of the system. The innovation is to use the secondary threshold method to deal with the broken digit merger and adhent digit division.
出处
《现代电子技术》
2014年第16期114-116,共3页
Modern Electronics Technique
关键词
数字识别
图像预处理
自动检测
材料试验机
digital recognition
image preprocessing
automatic detection
material testing machine
