基于机器视觉的在线电池检测系统研究

给出了一种基于机器视觉的电池检测系统,利用数字图像处理技术对采集的手机电池图像的相关参数进行了测量。针对采集到的图像会存在随机噪声,首先利用中值滤波技术进行了去噪,然后进行了为了突出要测量的目标,进行了像素的横向模糊,最后利用阈值分割法检测出了要测量目标的边缘,通过相应的计算完成了对电池图像相关参数的精确测量,实现了电池的在线质量检测。

Research on Application of Online Battery Checkup Based on Machine Vision

An application of online battery checkup based on machine vision was put forward. The application could analyze and measure parameters of the battery image with the help of digital image process technology. First of all, median filter was used to reduce the random noises of the battery image, then, the application made use of the landscape blur technology to stand out the target of the image, at last, the edge of the target of the image was detected by the threshold division technology. Parameters of the battery image can be measured accurately by the digital image process and the relative calculation.