化工生产环境中QR码的检测识别方法研究

摘要

Considering the fact that chemical industry employs QR codes as the electronic label for the materials and products, and the kind of background noises can be seen in most collected QR codes due to the environmental impact, the binarization algorithm based on expectation maximization was proposed and applied to preprocess QR code images. The experimental results prove its better effect in removing background noises.%以某化工生产企业在生产过程中使用QR码作为物料和产品的电子标签为背景,针对在化工生产中因受环境影响,致使采集到的QR码的图像大多存在一定的背景噪声,需要对图像进行二值化预处理以去除背景噪声,提出一种基于最大期望值的二值化算法并应用于QR码图像预处理中,取得了较好的效果.